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ORCIDBigData Conference 2025: Macau, SAR, China
- IEEE International Conference on Big Data, BigData 2025, Macau, China, December 8-11, 2025. IEEE 2025, ISBN 979-8-3315-9447-3
- Yongming Yi
, Yuyang Peng, Tiejun Li, Hongxu Jin, Xinbiao Gan:
GraphRouter: Adaptive Acyclic k-Path Counting with High Precision. 1-10 - Yichao Deng, Birong Sima:
False Negative Aware Learning for Cross-Modal Video-Text Retrieval: When Intra-Modal Auxiliary Signals Meet Cross-Modal Objectives. 1-6 - Jiyoung Kim, Hyojoong Kim:
A Study on Compact Data Structure-Based Compression Techniques for Grid Data. 1 - Tianye Fang, Xuanshu Luo, Martin Werner:
Entropy-Driven Curriculum for Multi-Task Training in Human Mobility Prediction. 1-10 - Kyung Rae Noh, Shinho Lee, Minjae Kim, Wookhyun Jung, Wonrak Lee, Kyungmin Lee, Jung-Sik Cho:
Attack Group Profiling Using Registration Abuse Information of Phishing Domains. 1 - Alireza Namazi, Haiying Shen, Tanmoy Sen, Minjia Zhang:
Degree-Based Scheduling and Memory Management for Large-Scale Exact Online GNN Inference. 1-10 - Ting-Hsuan Liu, Eric Hsueh-Chan Lu:
Enhancing Cross-Domain Visual Localization via Self-Supervised Contrastive Learning. 1-10 - Kazuma Hatano, Noboru Koshizuka:
Should a Data Space be a "Space"? From Boundary-First Designs to Thin Core. 1-10 - Changgyun Kim, Seungwon Kim, Se Jin Kwon, Taemin Lee:
Development of Classification Model for Identifying Denied Pill: Using Sift and Cnn. 1 - Wenru Zhang, Ryuichi Shibasaki:
Satellite-AIS Fusion for Container Terminal Analytics: Towards Digital Port Operations in Tokyo's Ohi Terminals. 1-10 - Bart Cox, Antreas Ioannou, Jérémie Decouchant:
Dynamic Topology Optimization for Non-IID Data in Decentralized Learning. 1-10 - Nitesh V. Chawla:
When Data & AI Converge for Good, Societal Impact Accelerates. 1 - Mohamed Afane, Ying Wang, Juntao Chen:
Can LLMs Help Allocate Public Health Resources? A Case Study on Childhood Lead Testing. 1-10 - Gustavo Sánchez, Muhammad Qasim, Ghada Elbez, Veit Hagenmeyer:
Steganographic Data Exfiltration for Model Stealing: A Case Study on Energy Critical Infrastructure IEC 61850 Datasets. 1-10 - Zhilu Zhang, Procheta Sen, Tong Chen, Zhengyong Jiang, Jionglong Su:
FEC-Real: Enhancing Financial Time Series Task with a Hybrid Encoder. 1-10 - Guoliang Li:
An Agentic Data System for Analyzing Heterogeneous Data. 2 - Yu Zheng:
Urban Computing: Enabling Spatio-Temporal Intelligences in Cities. 3 - Xiaofang Zhou:
Vector Database Systems: Foundational Data Infrastructure for the Age of AI. 4 - Sihem Amer-Yahia:
Training and Reusing AI Agents for Data Exploration. 5 - Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua:
qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices. 6-15 - Yichuan Deng, Zhao Song, Kaijun Yuan, Tianyi Zhou:
Why Softmax Attention Outperforms Linear Attention. 16-25 - Hangyuan Du, Dengke Su, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang:
CGFNet: Frequency-Domain Causal Discovery and Dual-Path Spectral Filtering for Wildfire Prediction. 26-35 - Ping-Ru Lee, Cheng-Te Li:
Supervision Densification is All You Need for Graph Neural Recommenders. 36-43 - Jiehao Liang, Somdeb Sarkhel, Zhao Song, Chenbo Yin, Zhen Zhuang, Danyang Zhuo:
Accelerating k-means ++ Algorithm. 44-53 - Haksoo Lim, Jaehoon Lee, Sewon Park, Minjung Kim, Noseong Park:
TSGM: Regular and Irregular Time-Series Generation Using Score-Based Generative Models. 54-63 - Zhao Song, Jason Zhang, Jiahao Zhang:
On Efficient Computation of Generalized Distance Oracles. 64-73 - Yang Cao, Yubin Chen, Xiaoyu Li, Zhao Song:
Diffusion Modeling is Volumetric Barrier Function. 74-79 - Ivan Cao, Jaromir J. Saloni, David A. G. Harrison:
A Quick and Exact Method for Distributed Quantile Computation. 80-85 - Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua:
QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification. 86-91 - Angela Li, David Li:
Reward-Aware Shapley Compensation: a Probabilistic and Game-Theoretic Approach in Cooperative Sharing Economies. 92-98 - Runsheng Li, Kai Sun, Bin Shi, Bo Dong:
Generation, Validation, and Selection: A Proof-by-Contradiction Reasoning Chain Data Synthesis Method for Enhancing Indirect Reasoning in Large Language Models. 99-104 - Xin Liu, Hangxuan He, Ying Qian, Feng Chen, Qingjie Wei, Hongjun Zhu:
FedPSG-CAG: Generating Participants Samples Based on Correlated Attributes Generation and Vertical Federated Imputation. 105-110 - Samuel Smith, Gavin Smith, John Harvey:
Automatic Lifestate Identification for High-Dimensional Time Series Data. 111-118 - Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang:
LLM and GNN Are Complementary: Distilling LLM for Multimodal Graph Learning. 119-124 - Daphney-Stavroula Zois, Charalampos Chelmis, Mahsa Azarshab, Ali Salehi Darjani:
CHEX: A Cascade of Heterogeneous Experts for Instance-Wise Credit Assessment. 125-130 - Sukanya Bhowmik, Olaf Markus Link, Henriette Röger, Kurt Rothermel:
Breaking Global Ground: A Load Shedding Approach for Distributed Complex Event Processing. 131-141 - Debargha Ganguly, Sumit Kumar, Ishwar B. Balappanawar, Weicong Chen, Shashank Kambhatla, Srinivasan Iyengar, Shivkumar Kalyanaraman, Ponnurangam Kumaraguru, Vipin Chaudhary:
Labeling Copilot: A Deep Research Agent for Automated Data Curation in Computer Vision. 142-151 - Michael Greenbaum, Ke Fan, Wajid Manzoor, Guimu Guo:
GPU-Accelerated Maximal Quasi-Clique Mining. 152-161 - Xin Huang, Weipeng Zhuo, Minh Phu Vuong, Shiju Li, Jongryool Kim, Bradley Rees, Chul-Ho Lee:
SDT-GNN: Streaming-Based Distributed Training Framework for Graph Neural Networks. 162-172 - Youngbin Jin, Han Jang, Dongjun Lee, Ben Lee:
FAW: Filetype and Application Aware Write Buffer Management to Reduce Write Amplification Factor. 173-182 - Young Woo Kim, Hyuk-Je Kwon, SongWoo Sok, Jinmee Kim, Hag-Young Kim, Seung-Jun Cha, Kwangwon Koh, Kangho Kim:
Host Bridge Level Cache in Memory-Centric Fabric and its Impacts on Disaggregated Memory System. 183-190 - Zelun Liu, Arif Arman, Dmitri Loguinov:
Typhoon: A Slice-Scrambled In-Place LSD Sort. 191-200 - Shruti Mohanty, Vivek M. Bhasi, Jashwant Raj Gunasekaran, Prashanth Thinakaran, Mahmut T. Kandemir, Chita R. Das:
FLEXI: Phase-Aware Function Resizing for Heterogeneous Serverless GPU Workloads. 201-210 - Pinze Ren, Zhen Chen, Yinjun Wu, Weiran Lin, Qilong Shi, Chao Li, Jianxin Yang:
Edge-Optimized Voice Control with 0.26 M Parameters: Distilling 86M Adaptive Window Audio Transformer for Real-World Variable-Length Inputs. 221-228 - Ali Zafar Sadiq, Haiying Shen, Tanmoy Sen, Nan Deng, Sunan Xiang:
Resource Overcommitment with Granular and Pattern-Based Machine Learning Predictions. 229-238 - Yaru Zhao, Shoulu Hou, Binyang Li, Yakun Huang:
P2S-XR: Predictive and Scalable Scheduling for Concurrent Multi-User XR Services. 239-248 - Ruchao Cai, Yan Li, Jing Bian:
EffiTabu: A Static Job Scheduling Optimization Algorithm Based on Improved Tabu Search. 249-254 - Mohsen Koohi Esfahani, Syed Ibtisam Tauhidi, Marco D'Antonio, Thai Son Mai, Hans Vandierendonck:
ParaGrapher: A Parallel and Distributed Graph Loading Library for Large-Scale Compressed Graphs. 255-260 - Damien Foucard, Moneer Martini, Lukas Bender:
Hierarchical Model Trees for Semantic Summarization and Adaptive Inference. 261-266 - Jake Jongejans, Alexandros Koufakis, Ana Oprescu:
Vertical Federated Learning on Scattered Directive: Enforcing Policies on VFL Workflows. 267-274 - Tanvir Ahmed Khan, Leonidas Fegaras:
GPU Native Computation of Scalable Tensor Programs. 275-281 - Yuchan Lee, Sooho Jang, Sookwang Lee, Shinyoung Ahn, Jaehwan Lee:
DEPUTY: A DPU-Based Network Offloading Architecture with Minimal CPU Involvement for Stable Network Performance. 282-288 - Yuanhe Liu, Qiuping Zhang, Longfei Yue, Zhenkun Zheng, Ying Guo:
A Contextual Bandit Approach to Dynamic Thread Tuning in Data Pipeline Systems. 289-296 - Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Mahmut T. Kandemir, George Kesidis, Chita R. Das:
Dally: A Network-Placement Sensitive Cluster Scheduler for Deep Learning. 297-304 - Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos:
Trustworthy Scheduling for Big Data Applications. 305-310 - Vasilis Bountris, Lauritz Thamsen, Ulf Leser:
HyProv: Hybrid Provenance Management for Scientific Workflows. 311-320 - Subhankar Chattoraj, Karuna Pande Joshi:
LLM Based Knowledge Graph Approach to Automating Medical Device Regulatory Compliance. 321-328 - Baya Dhouib, Raja Appuswamy:
COSE: Continuous Shapes Extraction from Dynamic Knowledge Graphs. 329-339 - Xinglin Liu, Yutong Zhang, Youhan Qi, Xin Wang, Ying Wang:
Hypergraph Structure Recommendation Model with Counterfactual Learning. 340-348 - Kosei Naito, Hiroyoshi Ito, Atsuyuki Morishima:
Prioritizing Data Repair Tasks for Graph Data with Probabilities. 349-358 - Youwanhong Shan, Zhiyun Chen:
User-Aware Denoising Sequential Model for Multi-Behavior Recommendation. 359-368 - Patrick Soga, Yushun Dong, Yaochen Zhu, Jundong Li, Tong Zhao, Neil Shah:
VirtualGCN - Enhancing Graph Collaborative Filtering with Virtual Interactions. 369-378 - Shreeranjani Srirangamsridharan, Ali Abavisani, Reza Yousefi Maragheh, Ramin Giahi, Kai Zhao, Jason H. D. Cho, Sushant Kumar:
MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems. 379-388 - Qiwen Tan, Tiezheng Nie, Derong Shen, Yue Kou:
Dual-Space Relational Contrastive-Aware Neighbor-Hood Matching Method for Entity Alignment. 389-398 - Shiyu Wei, Linlin Zhang, Taozhi Wang, Jiaqi Hou, Madina Mansurova, Baurzhan Belgibayev, Kai Zhao:
Integrating Hypergraph and Fourier Transform for Sequential Recommendation. 399-408 - Yunhao Xu, Ruishen Liu, Xiangfeng Luo:
Multi-granular Negative Sampling Framework for Multi-modal Knowledge Graph Completion. 409-417 - Manal A. Alshehri, Xiangliang Zhang:
Unveiling the Dynamics of Multi-Dimensional Filter Bubbles in News Recommendation. 418-425 - Qigong Bi, Yun Yang, Yongliang Ding, Peng Pu:
Intent Based Knowledge Graph Aware Recommender System with Causal Inference. 426-432 - Doyun Choi, Cheonwoo Lee, Jaemin Yoo:
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals. 433-438 - Zhixuan Chu, Yifan Zhu:
Entity-Aware Pretraining of Large Language Models for Recommendation Systems. 439-444 - Shijia Jiang, Hongan Chen, Haochen Jia, Ronghui Han, Hao Wang:
Robust Legal Element Verification with Iterative LLMs for Enhanced Data Quality. 445-451 - Minjun Kim, Heesun Won:
A Conceptual Model for Metadata Management with DCAT v3: Emphasizing Dataset Series, Versioning, and Manifests. 452-457 - Daan Rosendal, Ana Oprescu:
A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning. 458-465 - Songxi Xu, Lianxi Wang:
CLCO: Enhancing Chinese-Centric Low-Resource Machine Translation Through Domain-Specific Corpus Optimization. 466-471 - Mingbao Yang, Zhiwen Zhao, Qing-Guo Wang, Fengbin Wu, Zijin Li, Yunfang Xu:
Enhancing Recommendation Systems with a Cross-Integrated Graph Attention Factorization Machine and Triple Training. 472-477 - Yuhe Bai, Modou Gueye, Hubert Naacke:
Selective Multi-Hop Type-Aware Enhancement for Context-Limited Knowledge Graph Entity Typing. 478-487 - Jingcheng Cen, Jiarui Ji, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding:
SAMAG: Structure-Aware Multi-Agent Graph Generation with Large Language Models. 488-499 - Vinaik Chhetri, Krishna Upadhyay, A. B. Siddique, Umar Farooq:
Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps. 500-509 - Akash Choudhuri, Yongjian Zhong, Bijaya Adhikari:
Implicit Hypergraph Neural Network. 510-519 - Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Olaf Wiest, Nitesh V. Chawla, Xiangliang Zhang:
ReactionTeam: Teaming Experts for Divergent Thinking Beyond Typical Reaction Patterns. 520-529 - Buddhi Ashan Mallika Kankanamalage, Satish Puri, Anju Soman, Matthew Schwennesen, Sushil K. Prasad:
ShapeToVec: Encoding Polygonal Shapes with Extreme Area Variability for Effective Approximate Jaccard Similarity Queries. 530-539 - Yuhui Lai, Shixun Huang, Sheng Wang:
Updatable Balanced Index for Stable Streaming Similarity Search Over Large-Scale Fresh Vectors. 540-549 - Jaeyoung Lee, Younghoon Kim:
Rapid Detection of the Smallest k-Minimum Bounding Rectangles for Moving Objects. 550-559 - Chengdong Lin, Jianghao Lin, Dong Zhou, Yongmei Zhou, Aimin Yang:
Central-Guided Convolutional Dual Attention for Document-Level Event Argument Extraction. 560-568 - Ziyan Liu, Lihui Liu:
AdvQA: Query-Aware Adversarial Training for Knowledge Graph Reasoning. 569-578 - Zhenxi Lu, Tingxuan Chen, Jun Long, Zidong Wang, Liu Yang:
HTRGN: Hybrid Temporal-Aware and Relation-Enhanced Graph Neural Network for Extrapolation Reasoning in Temporal Knowledge Graphs. 579-588 - Fan Peng, Yantuan Xian, Hongbin Wang, Yuxin Huang, Ran Song, Zhengtao Yu:
Unsupervised Timeline Summarization via Time-Aware Graph Structural Entropy Minimization. 589-598 - Yingda Shen, Da Yan, Yang Zhou:
Effective Neural Author-Topic Modeling by Leveraging Pre-Trained Language Models. 599-608 - Dylan Soemitro, Jeová Farias Sales Rocha Neto:
Spectral Clustering of Categorical and Mixed-Type Data via Extra Graph Nodes. 609-617 - Xiubo Zhang, Xu Li, Ye Li, Zijie Zhou, Yan Li, Leong Hou U:
EdgeLA: A Label-Based Cloud-Edge Collaborative Architecture for Shortest-Path Queries. 618-627 - Xiaofan Zhou, Jing Ma, Lu Cheng:
Adaptive Degree-Based Conformal Prediction for Individual Treatment Effect Estimation on Networked Data. 628-637 - Zizhong Zhu, Xiaowang Zhang, Zhiyong Feng:
Multi-Identifier Leveraging Text-Visual Construction for Multimodal Generative Recommendation. 638-646 - Jiahui Cen, Jianghao Lin, Dong Zhou, Weixuan Zhong, Jin Chen, Aimin Yang, Yongmei Zhou:
LLM-Driven Effective Knowledge Tracing by Integrating Dual-Channel Difficulty. 647-652 - Hangyuan Du, Liu Yang, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang:
Contrastive Anomalous User Detection in Recommender Systems via Multi-Semantic Paths. 653-658 - Stefan Funke, Claudius Proissl, Sabine Storandt:
The Multi Agent Meeting and Graph Center Problems on Massive Graphs. 659-665 - Mengyu Han, Jinpeng Li, Hang Yu, Xiangfeng Luo:
RLTR-LLM: A Temporal Knowledge Graph Few-Shot Out-Of-Graph Link Prediction Method Integrating RL-Based Temporal Retrieval and LLM Generation. 666-671 - Peng Hu, Zhengtao Li, Lulu Li:
A Complete Evaluation Method for Factual Knowledge Base on AMR. 672-678 - Wenbo Huang, Lihui Liu:
RKBQA: Revise-Once Correction for Generate-then-Retrieve KBQA. 679-686 - Xiyao Li, Ying Cai, Soamar Homsi:
A Polytope-Centric Technique for Efficient Domain Partitioning in Function Sorting. 687-694 - Xu Li, Ke Li, Leong Hou U:
IVF-TPE: Accelerating Multi-Probe Approximate Nearest Neighbor Search with a Two-Phase Pruning Approach. 695-700 - Peiyu Liang, Yuzhou Chen, Xubin He:
Topology-Induced Graph Transformer for Graph Representation Learning. 701-707 - Chenchen Liu, Fei Pu, Bailin Yang, Lirong Cheng:
Multi-Feature Fusion Strategies for Enhancing Knowledge Graph Embedding. 708-715 - Hui Luo, Farhana Choudhury, Jun Yan, Chen Chen, Xi Chen:
Real-Time Multi-Range Query Processing on Streaming Trajectories. 716-721 - Keerthana Murugaraj, Salima Lamsiyah, Martin Theobald:
ExpandFuse: A Hybrid Retrieval Framework with Query Expansion and Topic-Aware Reranking for Multi-Hop Question Answering. 722-729 - Veera V. S. Bhargav Nunna, Shinae Kang, Zheyuan Zhou, Virginia Wang, Sucharitha Boinapally, Michael Foley:
CAE: Character-Level Autoencoder for Non-Semantic Relational Data Grouping. 730-737 - Tim Otto:
EasyTUS: A Comprehensive Framework for Fast and Accurate Table Union Search Across Data Lakes. 738-745 - Morgan E. Prior, Thomas J. Howard III, Oliver McLaughlin, Terry Ferguson, Najib Ishaq, Noah M. Daniels:
Let them have CAKES: A Cutting-Edge Algorithm for Scalable, Efficient, and Exact Search on Big Data. 746-751 - Yuya Sasaki:
Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search. 752-757 - Di Xiao, Yi Cui, Dmitri Loguinov:
Towards Faster External-Memory Graph Computing on Small Neighborhoods. 758-763 - Lyuheng Yuan, Da Yan, Saugat Adhikari, Jiao Han, Lei Zou, Yang Zhou:
T-RDF: A Task-Based Parallel System for Efficiently Answering SPARQL Queries. 764-769 - Yajing Zhang, Lei Zhang:
Spatio-Temporal Convolution Enhancement for Temporal Dynamics in Information Diffusion Prediction. 770-775 - Mohammad Abu-Shaira, Ajita Rattani, Weishi Shi:
DAO-GP Drift Aware Online Non-Linear Regression Gaussian-Process. 776-785 - Jawad Ibn Ahad, Muhammad Rafsan Kabir, Robin Krambroeckers, Sifat Momen, Nabeel Mohammed, Shafin Rahman:
LAET: A Layer-Wise Adaptive Ensemble Tuning Framework for Pretrained Language Models. 786-795 - Rohan Akkineni, Chandrasekhar Uddagiri:
Sig-Patchformer: A Path Signature Based Transformer for Efficient Time Series Forecasting. 796-801 - Md. Samiul Alim, Sharjil Khan, Amrijit Biswas, Fuad Rahman, Shafin Rahman, Nabeel Mohammed:
Teacher-Guided One-Shot Pruning via Context-Aware Knowledge Distillation. 802-811 - Ayush Chaudhary, Sisir Doppalpudi:
Efficient Adversarial Malware Defense via Trust-Based Raw Override and Confidence-Adaptive Bit-Depth Reduction. 812-821 - Baining Chen, Yiming Zhang, Yuqiao Han, Ruyue Zhang, Ruihuan Du, Zhishuo Zhou, Zhengdan Zhu, Xun Liu, Jiecheng Guo:
Continual Causal Effect Estimation for Dataset Shifting Streams in Marketing Optimization. 822-830 - Zhu Chen, Haonan Rao, Lijun Zhao, Mingliang Wang, Weiping Ding, Jiashuang Huang:
IT-GNN: Interactive Two-Stage GNN for Multi-Atlas Brain Network Analysis. 831-837 - He Cheng, Depeng Xu, Shuhan Yuan:
BadSAD: Clean-Label Backdoor Attacks Against Deep Semi-Supervised Anomaly Detection. 838-845 - Qi Cheng, Licheng Liu, Yao Zhang, Mu Hong, Shiyuan Luo, Zhenong Jin, Yiqun Xie, Xiaowei Jia:
Knowledge Guided Encoder-Decoder Framework: Integrating Multiple Physical Models for Agricultural Ecosystem Modeling. 846-855 - Benjamin Cobb, Ramakrishnan Kannan, Konstantin Pieper, Piyush Sao, Yongseok Soh, Jee W. Choi, Richard W. Vuduc, Haesun Park:
Fast Active-Set Thresholding Method for Nonnegative Least Squares. 856-867 - Linfeng Du, Xiang Li, Zhang Yi, Dehan Li:
ATS and BEMAF-UNet for Accurate and Robust Renal Histopathology Image Segmentation. 868-875 - Md. Abdullah Al Forhad, Weishi Shi:
Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency. 886-895 - Yuan Gao, Xiaobo Zhang, Yutao Liu, Andrew Lim, Yan Yang, Hui Zhang:
Uncertainty Modeling and Enhanced Gather-And-Distribution Mechanism for Multi-Person Pose Estimation in Dense Scenes. 896-904 - Yue Han, Shengchang Wang, Yongquan Xue, Zhaoru Guo, Kaiyuan Jin, Jiao Li, Lei Wang, Yongke Li, Panpan Zheng:
ClipMPCAD: Few-Shot Anomaly Detection with LLM-Guided Prompts and Multi-Attention Fusion. 905-914 - Jianjun He, Jinghua Li, Jianhong Sun, Ruirui Zheng, Yu Zhou, Peng Xu:
Multi-View Partial Label Metric Learning. 915-924 - Shiquan He, Randy C. Paffenroth:
IResNets: Iterative Residual Neural Networks. 925-934 - Qi Huang, Sofoklis Kitharidis, Furong Ye, Marius Ottolini, Thomas Bäck, Niki van Stein:
Gradient Free Multi-Objective Counterfactual Explainability for Multivariate Time Series Classification. 936-946 - Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava:
SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space. 946-955 - Lilia Izri, Benoît Groz, Silviu Maniu:
Implementing Efficient Linear Bandits Via Sketches and Random Projections. 956-965 - Mingxu Jiang, Jiaxing Liu, Yiyan Xu, Haoyang Hu, Liang Xie:
Hard-Token Spatiotemporal Pre-Training. 966-974 - Xiaopeng Jiang, Cristian Borcea:
Federated Knowledge Expansion for Collections of Heterogeneous Devices. 975-984 - Siqi Jiang, Xinyuan Tao, Ajim Uddin, Zhi Wei, Dantong Yu:
ESPNet: Edge-Aware Graph Representation Learning Over Analyst-Firm Bipartite Networks for Earnings Surprise Prediction. 985-994 - Stefan-Alexandru Jura, Mihai Udrescu, Alexandru Topîrceanu:
Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction. 995-1004 - Eunjin Kim, Eunil Park:
Time-Aware Multimodal Climate Forecasting: Aligning Numerical and Textual Signals for Context-Aware Long-Term Predictions. 1005-1014 - Seongmin Lee, Hsiang Hsu, Chun-Fu Richard Chen, Duen Horng (Polo) Chau:
Probing LLM Hallucination from Within: Perturbation-Driven Method via Internal Knowledge. 1015-1033 - Zhihang Li, Zhao Song, Jiale Zhao:
A Theoretical Framework Bridging Attention and SVM Optimization Dynamics and Sparsity. 1034-1043 - Jianfu Li, Yuying Yang:
ParaCUP-NBR: Next-basket Recommendation via Parallel Modeling of Compatibility and User Preference with Multi-attribute Items. 1044-1053 - Danlei Li, Mingyu Fan, Nirmal Nair, Akshat Bisht, Kevin I-Kai Wang:
AURORA: An Adaptive and Unsupervised Framework for Robust Anomaly Detection via Historical Model Reuse. 1054-1063 - Angela Li, David Li:
Reinforcement Learning-Driven Stochastic Control for Scalable Incentive Optimization in Big Data Platforms. 1064-1073 - David Li, Angela Li:
Physics-Guided Gradient Boosting Under Distributed PDE Constraints: A Unified Theoretical Framework for Scalable Spatiotemporal Learning. 1074-1083 - Junping Liu, Xiaolong Li, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, Wenbin Zhang, Yi Guo:
Impact-Aware Retrieval Defense: Mitigating Word Substitution Ranking Attacks for Enhanced Stability. 1084-1093 - Junping Liu, Zhenhao Hu, Xinrong Hu, Wangli Yang, Wanqing Li, Jie Yang, Yi Guo:
Every Lie Has a Grain of Truth: Disentangling Deception from Authentic Content for Fake News Detection. 1094-1103 - Meixi Lu, Long Tan, Yeran Wang:
PHCL: Prescription Recommendation via Hypergraph-Enhanced Contrastive Learning. 1104-1112 - Zhen Lu, Chengjie Zheng, Iris Shen, John Quackenbush, Viola Fanfani, Wei Ding, Ping Chen:
FACT: Gated Fusion-Augmented Causal Mask Transformer for Pseudotime Analysis. 1113-1122 - Hui Meng, Keping Yang, Xuyu Peng, Bo Zheng:
Causal Disentangled Representation Learning or Unbiased Treatment Effect Estimation. 1123-1132 - Phuong Thi Mai Nguyen, Minh-Son Dao, Swe Nwe Nwe Htun, Koji Zettsu:
Efficient Neuro-Symbolic Predictive Modeling for Near-Miss Accident Detection in High-Velocity Video Streams. 1133-1142 - Kazi Noshin, Bojian Hou, Mary Regina Boland, Zixuan Wen, Boning Tong, Li Shen, Aidong Zhang:
IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis. 1143-1152 - Xiaodong Ouyang, Cheng Chen, Guozhen Zhang, Ke Tang:
Hierarchical Fusion Network for Day-Ahead Wind Power Forecasting. 1153-1161 - John Paisley, Wei Zhang, Brian Barr:
Gaussian Process Tilted Nonparametric Density Estimation Using Fisher Divergence Score Matching. 1162-1171 - Taekhyun Park, Youngjae Lee, Daesan Park, Dohee Kim, Hyerim Bae:
JustDense: Just Using Dense Instead of Sequence Mixer for Time Series Analysis. 1172-1184 - Xiaolong Qin, Xiaowei Zhang:
3D Human Pose Estimation with Spatio-Temporal Topological Decoupling. 1185-1193 - Vaishnav Vaidheeswaran, Dilith Jayakody, Samruddhi Mulay, Anand Lo, Md Mahbub Alam, Gabriel Spadon:
Goal-Conditioned Reinforcement Learning for Data-Driven Maritime Navigation. 1194-1203 - Zhaoju Wang, Qiao Pan, Fei Huang:
Option Pricing based on the DeepOption Framework with Arbitrage-Free Constraints and an Enhanced Transformer Model. 1204-1211 - Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Philip S. Yu:
Confidence-Aware Fine-Tuning of Sequential Recommendation Systems Via Conformal Prediction. 1212-1221 - Limei Wang, Si Zhang, Hanqing Zeng, Hao Wu, Zhigang Hua, Kaveh Hassani, Andrey Malevich, Bo Long, Shuiwang Ji:
Staleness-Based Subgraph Sampling for Training GNNs on Large-Scale Graphs. 1222-1231 - Lifeng Wei, Chufan Pang, Xinzheng Xu:
SDP-DETR: End-To-End Detection of Aircraft Skin Defects Via Dynamic Multi-Scale Aware Mechanism. 1232-1237 - Dongli Wu, Haochen Li, Xiaobao Wei:
DNRSelect: Active Best View Selection for Deferred Neural Rendering. 1238-1247 - Xinyan Xie, Jianxin Sun, Claire X. Shen, Hongfeng Yu:
TP-Bundle: Interactive Hierarchical Edge Bundling for Large Graphs with Transformer-Based Prefetching. 1248-1257 - Xinyan Xie, Jianxin Sun, Warren Z. Huang, Harkamal Walia, Hongfeng Yu:
PanicleVis: A Multidimensional and Multilevel Graph-Based Visualization System for Spatiotemporal Panicle Phenotyping Data. 1258-1267 - Jiaying Yi, Jian Yin, Rahul Ghosal, Julius Fridriksson, Rutvik Desai, Yuan Wang:
Uncovering Treatment Response Patterns with Topological Clustering of Brain Networks. 1268-1277 - Yuejing Zhai, Yiping Li, Wuman Luo:
Modeling Frequency Correlation to Achieve Better Long-Term Series Forecasting. 1278-1287 - Xinbo Zhang, Montserrat Guillen, Lishuai Li, Xin Li, Frank Youhua Chen:
A Group Zero-Inflated Poisson Model for Automobile Near-Miss Event Risk Prediction. 1288-1297 - Shiyin Zhang, Zheng Fang, Guojie Song:
Transformer for Heterogeneous Graphs. 1298-1306 - Zheyan Zhang, Diego Klabjan, Renee C. B. Manworren:
DAADiff: A Dual-Axis Adaptive Framework for Real-Time Video Inpainting. 1307-1316 - Zonghan Zhang, Zhiqian Chen:
Sobol's Total Indices for Accurate and Scalable Feature Exclusion in High-Dimensional Data. 1317-1326 - Hong Zhang, Yuansheng Chen, Ximing Liu, Jinran Wu, Yichao Liao, Yayong Li:
A Margin Enhanced Data Augmentation Method for Imbalanced Credit Default Prediction. 1327-1336 - Kinan Al-Attar, Ali Nosrati Firoozsalari, Rajiv Ramnath:
Federated Multi-Modal Knowledge Graph Representation Learning with Optimal Transport Alignment. 1337-1342 - Shuzhang Cai, Ying Xie, Shaojie Tang:
CAREER1: Reasoning Models for Career Path Prediction via Reinforcement Learning. 1343-1350 - Bohan Cao, Gewei Lu, Liping Shen:
Orchestrate-on-Graph: A Multi-Agent Hybrid Retrieval and Reasoning Framework for Reliable LLM Reasoning. 1351-1356 - Abhisek Chakraborty, Anirban Chakraborty:
Meta-Learning with Adaptive Borrowing for High Dimensional Moment Condition Model. 1357-1363 - Tianshi Che, Yang Zhou, Tonghui Li, Qing Chang, Da Yan, Huaguo Zhou, Zhe Jiang:
FedNSA: Federated Noise-Signature Alignment for Model-Heterogeneous UAV Vehicle Detection. 1364-1369 - Mengyun Chen, Jinyong Cheng, Zhe Zhuang, Zhonghe Wei:
SD-CIL: A Structurally Decoupled Framework for Balancing Stability and Plasticity in Online Class-Incremental Learning. 1370-1375 - Feng Chen, Xiaobo Zhang, Zixuan Zhao, Jinyu Bao, Xiaoping Qiu, Na Ma:
GFHF-Net: A 3D Global-Fine Hierarchical Fusion Network for Accurate Lung Nodule Segmentation. 1376-1381 - Biyi Fang, Truong Vo, Jean Utke, Diego Klabjan:
Tricks and Plug-Ins for Gradient Boosting in Image Classification. 1382-1388 - Jianliang Gao, Shilin Xie, Shujin Wang, Xiaohua Tony Hu:
HyperGAT: Hypergraph Attention Network for Stock Movement Prediction. 1389-1395 - Federico Giannini, Sandro D'andrea, Emanuele Della Valle:
Don't Look Back in Anger: MAGIC Net for Streaming Continual Learning with Temporal Dependence. 1396-1403 - Dzenan Hamzic, Markus Wurzenberger, Florian Skopik, Max Landauer, Lukas Linauer, Andreas Rauber:
Cybersecurity Text Classification: Challenging the Perceived Superiority of LLMs Over Conventional Machine Learning. 1404-1411 - Sibgat Ul Islam, Jawad Ibn Ahad, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman:
Dynamic Temperature Scheduler for Knowledge Distillation. 1412-1417 - Rishabh Jain, Ranga Raju Vatsavai:
SR-GFEA: A Super-Resolution Algorithm with Geometric Feature Extraction and Alignment. 1418-1425 - Shinhyoung Jang, Junyoung Lee, Seohyun Kim, Hyunsei Lee, Ilhong Suh, Yeseong Kim:
PersonalizedHD: Hyperdimensional Online Learning with Scalable Personalization and Memory-Efficient Replay. 1426-1431 - Xiaopeng Jiang, Pritam Sen, Cristian Borcea:
Federated Continual Learning Using Concept Matching. 1432-1439 - Yi Li, Jiana Meng, Di Zhao, Bolin Wang:
SAVe-Vis: An End-to-End Multimodal Framework for Schema-Aware and Self-Validating Data Visualization Generation. 1440-1447 - Xieyuan Li, Haochen Wang:
A Chinese Fake Review Detection Model Based on BERT and Sentiment Analysis Embedding: Dataset Construction and Model Optimization. 1448-1455 - Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan:
From Text to Insight: Towards Robust RAG Pipelines for Transcript-Based Clinical Screening. 1456-1461 - Yifei Luo, Junyu Chen, Xi Jiang, Yu Liu, Lin Zhang:
A Geographical Distance-Enhanced Spatial-Temporal Graph Neural Network for Bike Demand Prediction. 1462-1467 - Andre Marques, Pedro Correa:
Quantile Forecasting of Solar Radiation in the Amazon Using Deep Learning and Signal Decomposition. 1468-1473 - Tomoru Nakayama, Yuji Kawamata, Akira Imakura, Yukihiko Okada:
DC-CP: Data Collaboration Conformal Prediction from Model Training to Conformal Prediction in Single-Round Communication While Preserving Privacy. 1474-1479 - Niki Nezakati, Md Kaykobad Reza, Ameya Patil, Mashhour Solh, M. Salman Asif:
MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection. 1480-1485 - Khoa Nguyen, Khang Tran, NhatHai Phan, Cristian Borcea, Ruoming Jin, Issa Khalil:
SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning. 1486-1493 - Ngoc-Thanh Nguyen, Astrid Marie Skålvik, Emmanouil Sylligardos, Rogardt Heldal, Patrizio Pelliccione, Paul Boniol, Themis Palpanas, Sverre Jakob Alvsvåg:
Interpretable Multivariate Anomaly Detector Selection for Automatic Marine Data Quality Control. 1494-1499 - Phuong Nguyen, Tuan M. V. Le, Julian McAuley:
Contrastive Self-Supervised Learning for Text Incoherence Detection. 1500-1507 - Jihyeon Oh, Subeen Choe, Jihoon Yang:
QNQCDE: Efficient Dialogue Embeddings Based on Contrastive Learning Using Question and Non-Question Pairs. 1508-1513 - Nuzaer Omar, Ademola Adesokan, Sanjay Madria:
Leveraging Pre-Trained Language Models for Realistic Adversarial Attacks. 1514-1521 - Jason Orender, Jiangwen Sun, Mohammed Zubair:
Efficient Longitudinal Feature Selection Via Binarized Transformation: Theory and Case Studies. 1522-1527 - John Paisley, Ghazal Fazelnia, Brian Barr:
Stochastic Variational Inference with Tuneable Stochastic Annealing. 1528-1533 - Naeun Park, Heasoo Hwang:
Balancing Decorrelation and Label Predictability for Deep Graph Representation Learning. 1534-1540 - Minjung Park, Gyuyeon Na, Soyoun Kim, Sunyoung Moon, HyeonJeong Cha, Sangmi Chai:
HyPV-LEAD: Proactive Early-Warning of Cryptocurrency Anomalies Through Data-Driven Structural - Temporal Modeling. 1541-1546 - Tatiana Petrova, Dmitrii Koriakov, Radu State:
CAR-RAG: Category-Aware Hybrid Retrieval-Augmented Generation for Hallucination Mitigation. 1547-1554 - Jeongeum Seok, Wook-Shin Han:
MAD: Multimodal Framework for Adaptive Time-Series Anomaly Detection. 1555-1562 - Zifang Tang, Yani Yang, Lanyun Xiao, Tong Li, Yiting Wang, Zhen Yang:
A Focus-Relation Alignment-Based Dynamic State Representation Method for Multi-Hop Knowledge Graph Question Answering. 1563-1570 - Chaodong Tong, Kun Peng, Qi Zhang, Mingzhe Lu, Haimei Qin, Lei Jiang, Yanbing Liu:
Towards More Reliable Chinese Spelling Correction: Fine-Grained Confidence Estimation Against Suboptimal Corrections. 1571-1578 - Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series. 1579-1584 - Chaoyue Wang, Yuhua Qin, Yuehang Hu, Hao Zhang, Quan Guan:
DynaGABiS: Aspect-Based Sentiment Analysis Based on Dynamic Graph Grammar Modeling and Gated Attention Mechanism. 1585-1590 - Fangxu Wu, Gang Zhang:
Diffusion Models: A Systematic Review From Generative Theory to Applications in Group Activity. 1591-1596 - Zaipeng Xie, Zishu Zhou, Xuanyao Jie, Xing Gao, Han Xu, Leihan Wang:
FedHAN: Robust Federated Learning Under Model Heterogeneity and Label Noise. 1597-1604 - Rui Xu, Chuchu Tan, Deke Wang, Jian Li, Hang Wan, Liyi Guo, Liangmei Huang, Kamarul Hawari bin Ghazali, Shaohua Sun, Shiming Shen:
A Deep Learning Model for Water Quality Prediction Based on Temporal Decomposition and Feature Enhancement Learning. 1605-1612 - Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng:
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting. 1613-1618 - Zefeng Li, Ning Yang:
Denoised Recommendation Model with Collaborative Signal Decoupling. 1619-1624 - Chenxu Zhang, Xun Zhou, Yitian Shao, Jun Luo:
Adjacency-Aware Deep Reinforcement Learning for Centralized Vehicle Repositioning. 1625-1630 - Li Zhang, Meiling Liu, Lin Shi, Fanfan Du, Qingwang Zeng:
A Discourse-Aware of Entailment Reasoning for Spoken Language Understanding Model. 1631-1636 - Zheyan Zhang, Diego Klabjan:
Probing the Black Box: A Behavioral Framework for the Deep Verification of Random Forests. 1637-1642 - Jihong Zhang, Pingfu Chao, Junhua Fang, Hui Peng, Jiajie Xu:
SWIFT: Scene-Aware Dual Cross-Attention Flight Trajectory Prediction. 1643-1648 - Zhiguo Zhang, Xiaoliang Ma, Daniel Schlesinger:
Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling. 1649-1654 - Laizhen Li, Peicheng Zhao, Xitong Gao, Juanjuan Zhao, Kejiang Ye:
JADE: Jailbreak-Aware Dynamic Defense Enhancer for LLMs Via Reinforcement Learning. 1655-1660 - Lecheng Zheng, Zhengzhang Chen, Haifeng Chen:
Online Multi-Modal Root Cause Identification in Microservice Systems. 1661-1668 - Yingying Zhou, Shaolong Wei, Zhanmo Mi, Mingliang Wang, Weiping Ding, Jiashuang Huang:
Multi-Timescale Spiking Neural Network with Dual-Hemispheric Fusion and Coupling for Brain Disorder Diagnosis. 1669-1674 - Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Improving Causal Feasibility in Counterfactual Explanations for Multivariate Time Series Classification. 1675-1684 - Milon Biswas, Wei Yu, Qianlong Wang, Weixian Liao:
Quantifying Privacy Leakage in Multi-Agent LLMs: A Unified Theoretical and Empirical Analysis. 1685-1694 - Eamon Earl, Chen Ding, Richard Valenzano, Drai Paulen-Patterson:
Constructing Political Coordinates: Aggregating Over the Opposition for Diverse News Recommendation. 1695-1704 - Siamak Ghodsi, Amjad Seyedi, Tai Le Quy, Fariba Karimi, Eirini Ntoutsi:
A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-Off Perspective. 1705-1714 - Jieun Lee, Hyunseop Shin, Kyung-Shik Shin:
Cognitive Error Correction Prompting for Effective Social Bias Mitigation in Large Language Models. 1715-1722 - Lingyu Qiu, Daniela Annunziata, Fabio Giampaolo, Francesco Piccialli:
FedSDE: Self-Distillation with Diffusion Enhanced for One-shot Federated Learning. 1723-1731 - Yifan Sun, Rui Zhang, Yang Tao:
FedAdaClip: Adaptive Clipping for Private Federated Learning. 1732-1741 - Jingzhe Wang, Balaji Palanisamy:
SR-MPL: Single-Round Fair Multiparty Lottery for Consensus. 1742-1751 - Zhirui Wang, Yaoning Wang, Yao Ge, Hua Dai, Qian Zhou, Yun Li:
Black-box Transferable Adversarial Attack via Frequency-domain Data Augmentation and Model Weight Perturbation. 1752-1761 - Zhou Yang, Shunyan Luo, Jiazhen Zhu, Fang Jin:
MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation. 1762-1771 - Haoran Yang, Wei Ge, Tongxuan Zhang, Guiyun Zhang, Haofang Zhang:
The Dark-Affective Bench: A Benchmark for Evaluating Maladaptive Personality Traits and Affective Tendencies in Large Language Models. 1772-1780 - Katsutoshi Amano, Hirotsugu Seike, Kazuma Hatano, Noboru Koshizuka:
DP-CR: Differentially Private Centroid Routing for Federated RAG in Data Spaces. 1781-1786 - Eunice Chan, Hanghang Tong:
Adversarial Bias: Data Poisoning Attacks on Fairness. 1787-1792 - Ajesh Koyatan Chathoth, Shuhao Yu, Stephen Lee:
PrivCLIP: Dynamic User-Controllable Privacy-Preserving Few-Shot Sensing Framework. 1793-1798 - Zirui Cheng, Jikai Sun, Anjun Gao, Yueyang Quan, Zhuqing Liu, Xiaohua Hu, Minghong Fang:
Secure Retrieval-Augmented Generation Against Poisoning Attacks. 1799-1806 - Asma Ramay, Estrid He, Mengmeng Yang, Tabinda Sarwar, Xinqian Wang, Xun Yi:
MPC-XGB: Privacy-Preserving Vertical Federated XGBoost via Secure Multiparty Computation. 1807-1812 - Jayden Serenari, Stephen Lee:
Semantically-Aware LLM Agent to Enhance Privacy in Conversational AI Services. 1813-1818 - Junyi Wang, Songwen Pei, Kai Cong, Joel Rodrigues:
Mitigating Privacy Issues in RAG through Causal Disentanglement. 1819-1826 - Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu:
Fair In-Context Learning via Latent Concept Variables. 1827-1836 - Hongyu Cao, Haoyue Bai, Yanjie Fu:
Structured Memory and Role-Aware Decision Making for Supply Chain Transportation. 1837-1846 - Jens Kohl, Otto Kruse, Youssef Mostafa, Andre Luckow, Karsten Schroer, Thomas Riedl, Ryan French, David Katz, Manuel P. Luitz, Tanrajbir Takher, Ken E. Friedl, Céline Laurent-Winter:
Automated Structural Testing of LLM-Based Agents: Methods, Framework, and Case Studies. 1847-1856 - Nastaran Saadati, Zhanhong Jiang, Aditya Balu, Chao Liu, Chinmay Hegde, Soumik Sarkar:
Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings. 1857-1866 - Andrew Dunton, Priya Govindarajulu, Mohammad Masum:
Do Multimodal Large Language Models Compete with Specialized Object Detection Models? A Quantitative Benchmark. 1867-1872 - Guoliang Hu, Liang Qian, Houlong Xiong:
DTC: Demonstration-Enhanced Tool Calling for Large Language Models. 1873-1878 - Zhiqiang Wang, Pengbin Feng, Yanbin Lin, Shuzhang Cai, Zongao Bian, Jinghua Yan, Xingquan Zhu:
CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward. 1879-1886 - Fuheng Zhao, Jiayue Chen, Lawrence Lim, Ishtiyaque Ahmad, Divyakant Agrawal, Amr El Abbadi:
LLM-SQL-Solver: Can LLMs Determine SQL Equivalence? 1887-1894 - Bin Zhu, Zebiao Chen, Shouqiang Liu:
Feedback-Integrated Short Answer Grading with Data Augmentation and Large Language Models. 1895-1902 - Huanghao Chen, Jerome Yen, Yang Wang, Yain-Whar Si:
Cross-Sectional Characteristic-driven Deep Reinforcement Learning. 1903-1912 - Rupasree Dey, Abdul Matin, Everett Lewark, Tanjim Bin Faruk, Andrei Bachinin, Sam Leuthold, M. Francesca Cotrufo, Shrideep Pallickara, Sangmi Lee Pallickara:
DeepSalt: Bridging Laboratory and Satellite Spectra Through Domain Adaptation and Knowledge Distillation for Large-Scale Soil Salinity Estimation. 1913-1923 - Xudong Guo, Lin Liu, Sha Lu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
Can EEG Foundation Models Help with Epileptic Seizure Prediction? 1924-1933 - Arash Hajisafi, Maria Despoina Siampou, Bita Azarijoo, Zhen Xiong, Cyrus Shahabi:
WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series. 1934-1943 - Yingshuai Ji, Haomin Zhuang, Matthew Toole, James McKenzie, Xiaolong Liu, Xiangliang Zhang:
Quasiparticle Interference Kernel Extraction with Variational Autoencoders via Latent Alignment. 1944-1953 - Xingfeng Li, Feifei Yu:
Phase-Aware Spectrogram Fusion with Dual-Stream Residual Networks for Underwater Acoustic Recognition. 1954-1963 - Xingfeng Li, Junjie Li:
Valence-Arousal Emotion Recognition Using a Deep Three-Layer Model with Aural Perceptual Representations. 1964-1973 - Pengjiang Li, Zaitian Wang, Xinhao Zhang, Ran Zhang, Lu Jiang, Pengfei Wang, Yuanchun Zhou:
SciTopic: Enhancing Topic Discovery in Scientific Literature Through Advanced LLM. 1974-1983 - Yao Li, Qianyu Shu, Jianjun Wang:
Autoregressive Low-Rank Tensor Completion with Schatten Capped p-Norm for Traffic Data Imputation. 1984-1993 - Elton Chun-Chai Li, Ziyi Liu, Ruiyuan Zhang, Sean Shing Fung Lau, Yehong Xu, Xiaofang Zhou:
Efficient Time-Dependent Shortest Path Finding on Cargo Network. 1994-2003 - Arun Vignesh Malarkkan, Haoyue Bai, Dongjie Wang, Yanjie Fu:
Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems. 2004-2012 - Wenting Qi, Kexin Zhang, Yan Sun, Haichao Zhang, Xiaoyin Xu, Hengle Qin:
SOP-Guided Co-Enhanced CLIP for Action Recognition in Logistics Warehouse Packaging. 2013-2022 - Qianyang Li, Xingjun Zhang, Shaoxun Wang:
USFF: A Unified Sales Forecasting Framework for Vending Machines. 2023-2032 - Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang, Miao Pan:
Heterogeneity-Aware Private Personalized Federated Learning for Medical Imaging Via Contrastive Distillation. 2033-2042 - Hossein Sholehrasa, Xuan Xu, Doina Caragea, Jim Edmond S. Riviere, Majid Jaberi Douraki:
Predictive Modeling and Explainable AI for Veterinary Safety Profiles, Residue Assessment, and Health Outcomes Using Real-World Data and Physicochemical Properties. 2043-2052 - Douglas J. Townsell, Lingwei Chen, Mimi Xie, Chen Pan, Wen Zhang:
ReLAD: Retrieval-Augmented LAtent Diffusion for Complex Aerial Image Generation. 2054-2063 - Nan Xiao, Bo Lang, Yikai Chen, Shuxin Zhao, Yuhao Yan:
TAA-EPLMR: Threat Actor Attribution via Evidence Path-Enhanced Large Language Model Reasoning. 2064-2073 - Michele Zanitti, Vanja Miskovic, Francesco Trovò, Alessandra Laura Giulia Pedrocchi, Ming Shen, Yan Kyaw Tun, Arsela Prelaj, Sokol Kosta:
A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities. 2074-2083 - Jianrong Zhang, Xiaoyu Kang, Zhixin Shi, Min Li:
Heterogeneous Graph Neural Networks with Ordinal Regression for Legal Case Retrieval. 2084-2093 - Yong Zhang, Jianzeng Song, Senjie Xia, Jianfei Yin:
A Reward-Model-Guided Parameter Tuning Framework for Optical Cable Manufacturing Optimization. 2094-2103 - Kaito Asai, Bin Zhou, Jianyu Huang, Yutaka Arakawa, Tsunenori Mine:
RiSA: Risk-Aware Situational Assistant: From Risk Forecasting to Actionable Driver Advice. 2104-2109 - Martina Casari, Laura Po, Federica Rollo:
Scalable Cross-Location Calibration of Low-Cost Air Quality Sensors Using Heterogeneous Data. 2110-2117 - Wanglin Chen, Jieyu Zhan, Wenjun Ma:
RFE-KGQA: A GNN-Enhanced Reasoning-Filter-Evaluation Framework for Knowledge Graph Question Answering. 2118-2123 - Youngjun Choi, Sungjun Lim, Minhoi Park, Jaekyeong Jung, Taekyung Kim, Eunsik Kim, Chul-su Kim, Kyongjae Lee, Hosik Choi, Kyungwoo Song:
RAILL: Retrieval-Augmented Instruction Tuning for Low-Resource Language Model Training. 2124-2129 - Jeffrey Fairbanks, Edoardo Serra:
Reflective Beam Search for Automated TTP Extraction and Sigma Rule Generation from Cyber Threat Intelligence. 2130-2135 - Weiting Gao, Riley Grossman, Yi Chen:
Explaining Clinical Outcome Predictions with Compositional Rationale Extraction Model. 2136-2143 - Ramin Giahi, Cameron A. MacKenzie, Reyhaneh Bijari, Reza Yousefi Maragheh, Kai Zhao:
Reinforcement Learning for Dynamic Decision Making in Engineering Systems. 2144-2149 - Fengchen Gu, Zhilu Zhang, Zhengyong Jiang, Ángel F. García-Fernández, Jionglong Su, Huakang Li:
Dynamic Knowledge Graph-Guided Deep Reinforcement Learning with Hierarchical Semantics Transformer for Portfolio Management. 2150-2155 - Shiyang Hao, Yi Liu, Hanyu Yang, Junjie Liu, Jianfei Yin:
An Incremental Learning Approach for Micro-Credit Approval. 2156-2161 - Xuesi Hu, Qiancheng Zhang, Jinpeng Miao, Peng Wang:
Using Multi-Perspective Information and Automatic Method Selection to Enhance the Performance of Large Language Models in Financial Question Answering. 2162-2168 - Ziyu Hu, Jiamin Wang, Zhiqing Zhong, Weijian Zheng, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Antonino Miceli, Zhaorui Zhang, Rajkumar Kettimuthu, Xiaodong Yu:
FastREI: Fast Rare Event Identification on X-ray Data with Cross-Stage Optimizations. 2169-2176 - Nitish Jaipuria, Lorenzo Gatto, Zijun Kan, Shankey Poddar, Bill Cheung, Diksha Bansal, Ramanan Balakrishnan, Aviral Suri, José Estévez:
CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments. 2177-2183 - Iman Johary, Raphaël Romero, Alexandru Cristian Mara, Tijl De Bie:
JobHop: A Large-Scale Dataset of Career Trajectories. 2184-2191 - Yu Kitano, Nobutaka Ono:
People-Flow Estimation from Footstep Sounds: A Feasibility Study via Simulation Using Large-Scale Pedestrian Trajectories. 2192-2197 - Kehao Li, Zhiyu Chen, Jing Xiao:
Masked Graph-Based Cognitive Diagnosis for Intelligent Tutoring Systems. 2198-2203 - Xiaofeng Li, Xiangyi Xiao, Xiaocong Du, Ying Zhang, Haipeng Zhang:
Tracing Footsteps of Similar Cities: Modeling Urban Economic Vitality with Dynamic Inter-City Graph Embeddings. 2204-2211 - Guozhong Li, Muhannad Alhumaidi, Spiros Skiadopoulos, Panos Kalnis:
LLMCOMP: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression. 2212-2219 - Jared Nobles, Xumin Liu:
Lung Cancer Detection Using Fine-Tuned Data-Efficient Models. 2220-2225 - Takuya Oki, Chisato Otsuka:
Pedestrian Environment Assessment Considering Street Impressions During Normal and Evacuation Times. 2226-2233 - Guanzhong Pan, Vishal Chodnekar, Abinas Roy, Haibo Wang:
A Cost-Benefit Analysis of On-Premise Large Language Model Deployment: Breaking Even with Commercial LLM Services. 2234-2239 - Yuxi Qin, Xinhua Zhang:
ACKE: Attribute and Context Based Knowledge Encoding. 2240-2245 - Soumyadipta Sengupta, Sebastiaan Buiting, Amine El Khair, Imane Khaouja, Yahia Shaaban, Abdallah Benzine:
Streaming Drilling Report Generation with Live Segmentation and Multimodal Text Generation. 2246-2251 - Esha Sharma, Lauren B. Davis, Julie S. Ivy, Min Chi:
MEAL-RL: Population Collection and Temporal Aggregation Reinforcement Learning Strategies for Metalearning Food Donations. 2252-2259 - Lingqing Shen, Chi Heem Wong, Misaki Mito, Arnab Chakrabarti:
Adaptive-Sensorless Monitoring of Shipping Containers. 2260-2267 - Kaito Terada, Keiji Abe, Toshihiko Takeda, Yuji Kawamata, Ryoki Motai, Yukihiko Okada:
A Reliable Decision Support Framework for SME Default Prediction Using Uncertainty-Aware Bayesian GEV Regression. 2268-2273 - Shoki Yamao, Yusuke Mibuchi, Kai Yoshida, Jingqi Wu, Yukina Nakagawa, Yoshimi Nakaya, Ken Kobayashi, Kazuhide Nakata:
Robust Prescriptive Pricing under Competitor Price Uncertainty. 2274-2281 - Yunfan Zhou, Ying Li, Xuxue Sun, YongQi Hou, Dongquan Li, Jing Shao, Li Wang, Bo Kong:
CARE: Contrastive and Adversarial Representation Enhancement for Heart Failure Prediction. 2282-2287 - Wissal Benjira, Nicolas Travers, Faten Atigui, Bénédicte Bucher, Malika Grim-Yefsah:
A Dual Knowledge Graph-Driven Computation of SDG Indicators. 2288-2297 - Jeong-Eun Choi, Karla Schäfer, York Yannikos, Martin Steinebach:
Disinformation Analysis on Telegram: A Metadata-Centered, Privacy-Aware Dataset. 2298-2307 - Andy Hu, Devika Prasad, Luiz Pizzato, Nicholas Foord, Arman Abrahamyan, Anna Leontjeva, Cooper Doyle, Dan Jermyn:
FeatureCuts: Feature Selection for Large Data by Optimizing the Cutoff. 2308-2319 - Keith Huffman, Jianping Zhang, Nathaniel Huber-Fliflet, Fusheng Wei, Peter Gronvall:
Exploiting the Randomness of Large Language Models (LLM) in Text Classification Tasks: Locating Privileged Documents in Legal Matters. 2320-2328 - Paulina Toro Isaza, Michael Nidd, Noah Zheutlin, Jae-wook Ahn, Chidansh Amitkumar Bhatt, Yu Deng, Ruchi Mahindru, Martin Franz, Hans Florian, Salim Roukos:
Automated Single-Turn Solution Recommendation System for Software IT Support Tickets. 2329-2338 - Uthman Jinadu, Siawpeng Er, Le Yu, Chen Liang, Bingxin Li, Yi Ding, Aleksandar Velkoski:
Taxonomy-Based Negative Sampling in Personalized Semantic Search for E-Commerce. 2339-2348 - Abhishek Joshi, Alihan Hadimlioglu, Nikhilesh Krishnakum Verma:
CryptoFusion: A Temporal Graph-Aware Transformer Framework for Robust Cryptocurrency Forecasting and Adaptive Portfolio Optimization. 2349-2358 - Sandeepa Kannangara, Arman Abrahamyan, Daniel Elias, Thomas Kilby, Nadav Dar, Luiz Pizzato, Anna Leontjeva, Dan Jermyn:
A Robust and Efficient Pipeline for Enterprise-Level Large-Scale Entity Resolution. 2359-2368 - Shinhoon Kim, Vishnu Raghupathy, Yongkang Liu, Keisuke Niimi, Takahiro Mochihara, Jiawei Yong:
Generalizing Vehicle Energy Consumption Models: Introducing the Large Energy Model Concept. 2369-2377 - Manvi Kishore, Jin Soung Yoo:
Practicing HTAP in the Cloud: Evaluating TiDB Against OLTP and OLAP Systems. 2378-2385 - Changyi Li, Chao Yang, Yu Xiao:
S2TKD: Dual-Student Knowledge Distillation for Industrial Visual Anomaly Detection and Localization. 2386-2395 - Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee:
FraudCenGCL: Role-Aware Graph Contrastive Learning for Low-Homophily Fraud Detection. 2396-2404 - Viviana Luccioli, Rithika Iyengar, Ryan Panley, Flora Haberkorn, Xiaoyu Ge, Leland Crane, Nitish Sinha, Seung Jung Lee:
LLM on a Budget: Active Knowledge Distillation for Efficient Classification of Large Text Corpora. 2405-2414 - Ashirbad Mishra, Jinyu Zhao, Soumik Dey, Hansi Wu, Binbin Li, Kamesh Madduri:
BroadGen: A Framework for Generating Effective and Efficient Advertiser Broad Match Keyphrase Recommendations. 2415-2424 - Ryoki Motai, Masato Kamebuchi, Sora Watanabe, Ryo Matsumoto, Keiichi Azuma, Yukihiko Okada:
Cash-Flow Prediction Model Using Graph Neural Networks and Spatiotemporal Information from Double-Entry Bookkeeping Data. 2425-2433 - Amirhossein Mozafari, Kourosh Hashemi, Erfan Shafagh, Soroush Motamedi, Azar Taheri Tayebi, Mohammad A. Tayebi:
CleverCatch: A Knowledge-Guided Weak Supervision Model for Fraud Detection. 2434-2443 - Takafumi Onishi, Yasuhiko Kanemasa:
Auto-Reconfigurable Storage Structure to Minimize Read Access Time of Time-Series Data in Digital Twins. 2444-2452 - Prabhat Kumar Prabhakar, Neelesh Kumar Shukla, Viji Krishnamurthy:
RAG-CUE: Actionable and Unified Evaluation for Retrieval-Augmented Generation Systems. 2453-2462 - Karthikeyan Ramasamy, Yupeng Fu, Jinny Jingyu Wang, Philip Chan, Tejas Naik, George Zhai, Shubham Gupta, Saurabh Kathpalia, Noah Schlager, Kamyar Arbabifard, Sandhya Sainath, Kunal Veera, Vivek Muniyandi, Nimish Sheth, Yiyu Pan, Tao Gui, Frank Zhang, Kaustubh Butte, Monika Agarwal, Aparajita Pandey:
Joining the Dots: Efficient Joins Over Parent-Child Ordered Postings Lists. 2463-2472 - Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary:
EiFormer: Improving Inverted Transformers for Efficient Time Series Forecasting in Large-Scale Spatial-Temporal Data. 2473-2482 - Bayu Adhi Tama, Homayra Alam, Mostafa Cham, Omar Faruque, Jianwu Wang, Vandana P. Janeja:
Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data. 2483-2491 - Sakthivel Thangaraj, Neelesh Kumar Shukla, Viji Krishnamurthy:
Ontology-Driven Multimodal Framework for Automated Interpretation and Description of Architecture Diagrams. 2493-2502 - Guilin Zhang, Wulan Guo, Ziqi Tan, Srinivas Vippagunta, Suchitra Raman, Shreeshankar Chatterjee, Ju Lin, Shang Liu, Mary Schladenhauffen, Jeffrey Luo, Hailong Jiang:
Serverless GPU Architecture for Enterprise HR Analytics: A Production-Scale BDaaS Implementation. 2503-2512 - Mahdi Ben Ameur, Mohamed Ali Fathallah, Takoua Abdellatif:
Mix-Of-Overlap: Enhancing Retrieval-Augmented Generation with Multi-Overlap Chunking. 2513-2518 - David Berghaus, Armin Berger, Lars Hillebrand, Kostadin Cvejoski, Rafet Sifa:
Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing. 2519-2526 - Jacob Fagin, Rivver Gonzalez, Hanish Moola, Varun Chugh:
The Convergence of Sports, Technology, and Personalization. 2527-2533 - Nitish Garg, Neeraj Vashistha, Varun Chugh, Nana Yaw Essuman, Subigya Upadhyay:
High Performance Fraud Detection at Scale. 2534-2540 - Usharani Hareesh Govindarajan, Qian Gui, Gagan Narang, Alessandro Galdelli:
Adoption-Weighted Technology Function Matrix for Big Data Patent Analytics in Smart Elderly Care. 2541-2548 - Lotte Gross, Rebecca Walter, Nicole Zoppi, Adrien Justus, Alessandro Gambetti, Qiwei Han, Maximilian Kaiser:
Cross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach. 2549-2554 - Md Mehedi Hasan, S. M. Jishanul Islam, AKM Shahariar Azad Rabby, Fuad Rahman:
Beyond Characters: Position-Aware Metric and a Lightweight LLM for Low-Resource Bangla Punctuation Restoration. 2555-2560 - Mohammad-Parsa Hosseini, Ankit Shah, Connie Miao, Wei Wei:
Improving LLM Retrieval with GraphRAG-SF: Semantic Filtering for Graph-Based RAG Systems. 2561-2568 - Gaurav Jain, Brandon Baker, Joe Yin, Chenwei Xie, Zihao Ye, Sidh Kulkarni, Sara Abdelrahman, Nova Qi, Urjeet Shrestha, Mike Halcrow, Dave Bailey, Yuxiong He:
SEE++: Evolving Snowpark Execution Environment for Modern Workloads. 2569-2572 - Kyung Seo Kim, Chung Man Park, Jae Ho Youn, In Tak Song, Chung Hee Ye, Byung Hee Choi, In Geun Shin, Jin Yong Park:
Quantifying SME Credit Risk in Receivables Financing with AI-Based Transaction-Level Data Analytics in a Fintech Context. 2573-2576 - Aysenur Kulunk, Berk Taskin, M. Furkan Eseoglu, H. Bahadir Sahin:
Optimizing Product Deduplication in E-Commerce with Multimodal Embeddings. 2577-2584 - Medabalimi Ravi Kumar, Harshitha Munukoti, Mohammed Hassan Khan, Nikhil Gumasthi, Pushpak Agarwal, Saurav Singla, Satyaprasad Rao:
Adaptive Fraud Detection Via Meta-Learning with KAN and Ensemble Strategies. 2585-2590 - Youngjoon Lee, Hyukjoon Lee, Jinu Gong, Yang Cao, Joonhyuk Kang:
When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data With Generative AI for Early Stopping. 2591-2596 - Bin Li:
SegmentAndClassify: A Two-Stage Model for Large Scale Named Entity Recognition. 2597-2602 - Xushu Dai, Beier Liu, Haiyun Zhu:
Scaling Predictive Power: An Empirical Study of Neural Network Ensembles for Cross-Sectional Returns. 2603-2608 - Lutfun Nahar, Md. Saiful Islam, Mohammad Awrangjeb, Rob Verhoeve:
An Integrated Deep Learning Framework for Trading Card Grading: Design, Deployment, and Evaluation. 2609-2615 - Minh Khang Ngo, Chanhee Won, Jonghun Yoon:
Data-Driven Vision and FEM-Based Sequential Optimization for Fold-Minimized Robotic Fabric Gripping. 2616-2618 - Jun'ichi Ozaki, Ryosuke Susuta, Takuhiro Moriyama, Yohei Shida:
Privacy-Preserving Synthetic Dataset of Individual Daily Trajectories for City-Scale Mobility Analytics. 2619-2626 - Jorge Mauricio Fares Queiroz:
A Two-Stage Framework for Explainable Clustering in Public-Sector Analytics: Algorithm Selection and Post-Hoc Validation. 2627-2634 - Doron Reid, Esau Hutcherson, Natasha Tonge, Paria Rezaei, Salvatore Giorgi, Sharath Chandra Guntuku, Anietie Andy:
Analyzing #BlackLivesMatter Related Social Media Posts Published from Racially Diverse Geographic Regions in the United States. 2635-2638 - Ali El Sayed, Reihaneh Gh. Roshan, Sathappan Muthiah, Nikhil Muralidhar:
LLM-Modulo-Rec: Leveraging Approximate World Knowledge of LLMs to Improve eCommerce Search Ranking Under Data Paucity. 2639-2645 - Wonduk Seo, Taesub Shin, Hyunjin An, Dokyun Kim, Seunghyun Lee:
Question-to-Knowledge (Q2K): Multi-Agent Generation of Inspectable Facts for Product Mapping. 2646-2653 - Benchamat Takhwan, Ekkarut Viyanit:
Clustering Analysis of Railway Delay Incidents: A Case Study of Bangkok's Airport Rail Link. 2654-2657 - Kohdai Toyoda, Yoshimasa Utsumi, Ken Kobayashi, Kazuhide Nakata:
Classification of Strategic Patents Under the Scarcity of Labeled Data. 2658-2662 - Yuchen Wang, Ghali Laraqui Houssaini, Yuchen Hou, Shwetha Salimath, Sylvain Wlodarczyk, Francesca Bugiotti:
Accelerating Industrial Geological Stratification from Well Logs with Deep Learning and Statistical Constraints. 2663-2668 - Qixin Wang, Puneet Girdhar, Yaowei Hu, Dawei Wang, Yifan Wang, Chaitanya Devella, Ayush Dwivedi, Wenlai Guo, Terrence Liu, Manmohan Dogra, Kun Chen, Yu Zheng, Shangwen Huang, Swati Pandey, Balram Mirani, Diwash Pokharel, Greg Hayworth, Han Li, Xintao Wu:
A Hybrid Large Vision Model Powered GUI Agent for Walmart Myassistant Application. 2669-2672 - Michiharu Yamashita, Mert Kosan, Yong Zhao, Can Liu, Shubham Agrawal, Chiranjeet Chetia:
Transformers for Payment Transactions Via Periodic Positional Encoding and Contrastive Learning. 2673-2678 - Yixiang Yao, Joseph Cecil, Praveen Angyan, Neil Bahroos, Srivatsan Ravi:
Feasibility of Privacy-Preserving Entity Resolution on Confidential Healthcare Datasets Using Homomorphic Encryption. 2679-2684 - Chin-Chia Michael Yeh, Vivian Lai, Uday Singh Saini, Xiran Fan, Yujie Fan, Junpeng Wang, Xin Dai, Yan Zheng:
Empowering Time Series Forecasting with LLM-Agents. 2685-2688 - Yuhui Yun, Huilong Ye, Jingfeng Deng, Ruojia Li, Xinru Li, Li Li, Haoyi Xiong:
EICopilot: Search and Explore Enterprise Information Over Large-Scale Knowledge Graphs with LLM-Driven Agents. 2689-2696 - Chi Zhang, Jungkwon Kim, Jeonghyeon Park, Kwangsun Yoo, Seok-Joo Byun:
Semi-Supervised Hyperspectral Food Anomaly Detection Through Batch-Wise Distribution Alignment. 2697-2700 - Peizhe Zhao, Shunbo Jia:
SPFFNet: Strip Perception and Feature Fusion Spatial Pyramid Pooling for Fabric Defect Detection. 2701-2706 - Sugandha Rathi, Renuka Nagpal, Gautam Srivastava, Deepti Mehrotra:
Dynamic Workflow Scheduling in Cloud-Fog Environments Using Enhanced Grey Wolf Optimization with Real-Time Data Integration. 2707-2714 - Dogan Altan, Hamza Haruna Mohammed, Glenn Terje Lines, Dusica Marijan, Arnbjørn Maressa:
Physics-Guided Neural Network-Based Shaft Power Prediction for Vessels. 2715-2723 - Oluwafolake Ayano, Kehinde Ayano:
Comparative Analysis of Community Detection Algorithms and Machine Learning Approaches for Network Analysis. 2725-2731 - Alimohammad Beigi, Bohan Jiang, Dawei Li, Zhen Tan, Pouya Shaeri, Tharindu Kumarage, Amrita Bhattacharjee, Huan Liu:
Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions? 2732-2741 - Andrea Bertino, Philippe Cudré-Mauroux, Aria Darmanger, Owen Gombas, Stefanie Müller, Ana Petrus, Karsten Schuld, Sebastian Sigloch, Jennifer Swaminathan:
The Openness Assistant: A Swiss Platform for In-Depth Monitoring of Open Access Resources. 2742-2745 - Advik Bhatt, Atiksh Sah, Dikshant Gusain, Uddish Pilani, Surbhi Saraswat:
DataWiz: A No-Code Platform for Automated Data Visualization and Model Recommendation. 2746-2755 - Uday Chandra Bhookya, Raja Babu, Saneet Saluja, Maitreya Natu:
Data Stories from Insights for IT Operations. 2756-2765 - Eda Naz Korkmaz Buyukyildirim, Uraz Yavanoglu:
Detecting Ad Hominem Arguments in Turkish Online Texts: A Study Based on Reddit Political Discussions. 2766-2773 - Justin Carpenter, Md Athikul Islam, Edoardo Serra:
LLM-GMP: Large Language Model-Based Message Passing for Zero-Shot Learning on Graphs. 2774-2782 - Sreejato Chatterjee, Linh Tran, Quoc Duy Nguyen, Roni Kirson, Drue Hamlin, Harvest Aquino, Hanjia Lyu, Jiebo Luo, Timothy Dye:
Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models. 2783-2792 - Yuzhou Chen, Yulia R. Gel:
Bringing Shape to Spatio-Temporal Graph Contrastive Learning. 2793-2802 - Wenbo Du, Latifur Khan:
Global Conflicts Prediction via Novel Temporal-Spatial Graph Neural Networks. 2803-2812 - Matteo Gregorini, Chiara Boldrini, Lorenzo Valerio:
DODO: Causal Structure Learning with Budgeted Interventions. 2813-2822 - Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat:
KG-EDAS: A Meta-Metric Framework for Evaluating Knowledge Graph Completion Models. 2823-2832 - Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat:
Evaluating Knowledge Graph Complexity via Semantic, Spectral, and Structural Metrics for Link Prediction. 2833-2842 - Yuka Haruki, Shigeru Ishikura, Kazuya Demachi, Teruaki Hayashi:
Contextual Graph Embeddings: Accounting for Data Characteristics in Heterogeneous Data Integration. 2843-2852 - Chia Yu Huang, Hsu-Chao Lai, Yang-Che Sun, Wen-Yueh Shih, Jiun-Long Huang:
A Market-Aware Real-Time Bidding Strategy Using Censored Data With Reinforcement Learning in Online Advertising. 2853-2862 - Liangjie Huang, Dawei Li, Huan Liu, Lu Cheng:
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models. 2863-2872 - Fariz Ikhwantri, Dusica Marijan:
Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection. 2873-2882 - Feyza Dicle Isik, Semih Yumusak, Beyza Kizildag, Sercan Yesil, Kasim Öztoprak, Emine Esra Karaca, Özlem Evren Kemer:
Deep Learning-Based Temporal Assessment of Corneal Endothelial Morphology Following Descemet Membrane Endothelial Keratoplasty: A Comparative Analysis of Dual Architectural Approaches. 2883-2890 - Berat Burak Kaya, Mehmet Ulvi Simsek, Feyza Yildirim Okay, Uraz Yavanoglu:
LLM4IoT: GPT-Driven Large Language Models for Prediction of Multivariate IoT Time-Series. 2891-2898 - Sonia Khetarpaul, Hajer Baazaoui Zghal, Shreya Gupta, Vidushi Bist, Devina Bhatnagar:
A Comparative Study of AI-Driven Ontology Enrichment for Environmental Sustainability. 2899-2907 - Beyza Nur Koc, Recep Firat Cekinel, Pinar Karagoz:
Lightweight Approach for Multi-Modal Irony Detection by Image Caption Generation. 2908-2914 - Chaodie Liu, Jianxiong Luo, Cheng Chang, Qianyao Qiang, Feiping Nie:
Hyperspectral Image Clustering Based on Weighted Spatial Denoising and Anchor Graph. 2915-2923 - Yizhuo Ma, Rongzheng Wang, Qizhi Chen, Jiakai Li, Shuang Liang, Ke Qin:
Rethinking Graph Reasoning: Equip Large Language Models with Topology-Enhanced Prompt. 2924-2933 - Zalish Mahmud, Anantaa Kotal, Aritran Piplai:
ImpuGAN: Learning Conditional Generative Models for Robust Data Imputation. 2934-2942 - Shukurillo Makhammadjonov, Kayumov Abduaziz, Karimov Azamatjon, Ji Sun Shin:
Revisiting Global Local Outlier Scores Based on Hierarchies for Clarity and Parameter-Free Use. 2943-2951 - Lalitesh Morishetti, Abhay Kumar, Jonathan Scott, Kaushiki Nag, Gunjan Sharma, Shanu Vashishtha, Rahul Sridhar, Rohit Chatter, Kannan Achan:
Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data. 2952-2961 - Quoc-Khanh-Tuyen Nguyen, Duy-Dong Le, Minh-Son Dao:
HCMCTrafficDataset: Enabling Smart Mobility Solutions for Motorcycle-Dense Cities with Limited Infrastructure. 2962-2969 - Weijie Niu, Shiyu Ran, Alberto Huertas Celdrán, Burkhard Stiller:
DPT-DDPM: A Denoising Diffusion Probabilistic Model for Tabular Data With Differential Privacy Enhancement. 2970-2979 - Yu Pan, Hongfeng Yu, Tianjiao Zhao, Jianxin Sun:
Can Language Models Enable in-Context Database? 2980-2989 - Antonio Rafael Sabino Parmezan, João Pedro Ribeiro da Silva, Diego Minatel, Solange O. Rezende:
A Spatio-Temporal Approach for Identifying Microorganisms in Short Image Sequences. 2990-2999 - Antonio Rafael Sabino Parmezan, Angela Patricia Mestas Muñante, Diego Minatel, Solange O. Rezende:
Content-Based Macroscopic Microbial Image Retrieval. 3000-3007 - Jared Pilcher, Jishan Ahmed:
Dimensionality Reduction of Mathematical Problem-Solution Embeddings From Large Language Models. 3008-3013 - Ankit Rai, Durga Toshniwal, Ruchi Dua, Shivam Varfa:
Oversampling-Enhanced Classification Models for Handling Imbalanced Recurrent Tuberculosis Data from Uttarakhand. 3014-3019 - Sugandha Rathi, Renuka Nagpal, Gautam Srivastava, Deepti Mehrotra:
Dynamic Workflow Scheduling in Cloud-Fog Environments Using Enhanced Grey Wolf Optimization With Real-Time Data Integration. 3020-3027 - Cyrus Saadat, Cristina Maier, Dan A. Simovici:
Semantic-Aware Association Rule Mining at Scale: Ontology-Free Generalization with LLMs. 3028-3037 - Divya Singh, Satoru Watanabe, Kunju Kashalikar:
Comprehensive Evaluation of Transformer Models for Multilingual PII Detection. 3038-3044 - Tarun Sreepada, Arjun Chakravarthi Pogaku, Uday Kiran Rage, Kazuo Goda:
Accelerating Fuzzy Frequent Pattern Mining on GPUs with GPU Direct Storage. 3045-3054 - Gonghao Sun, Shuai Liu, Gautam Srivastava:
A Comparative Analysis of AI-Enabled Science Education Research in China and Abroad. 3055-3064 - Lo Pang-Yun Ting, Ali Senol, Huan-Yang Wang, Hsu-Chao Lai, Kun-Ta Chuang, Huan Liu:
Towards Hierarchical Multi-Agent Decision-Making for Uncertainty-Aware EV Charging. 3065-3074 - Haijing Tu, Chad Milburn, Namith Manjunath Telkar, Trevor Speich, Bhanuprakash Narayana:
An Exploratory Study on Kaggle Competition Trend: Topics, Submissions, and User Performanc. 3075-3080 - Arpita Vats, Rahul Raja, Vinija Jain, Aman Chadha:
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review. 3081-3090 - An Vuong, Minh-Hao Van, Prateek Verma, Chen Zhao, Xintao Wu:
Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction. 3091-3098 - Yufeng Wu, Meichun Liu:
Grounding Color: Links Between Image-Based Color Features and Sensory Ratings. 3099-3104 - Dingming Xue, Yang Ding, Kaira Sekiguchi, Yukio Ohsawa, Andi Li, Cecilia Melin:
MMPEP: A Multi-Modal Framework for Post-Earnings Stock Movement Prediction. 3105-3114 - Mingyu Yang, Jae-Young Choi, Kihyo Moon, Minsung Jang, Eunjoo Jeon:
DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World Serving. 3115-3124 - Ruiran Yu, Yi Wu, Yuanyi Jiang:
Evolution-Driven Deep Meta-Learning Algorithm for Multi-Objective Combinatorial Optimization. 3125-3131 - Ke Yu, Shigeru Ishikura, Yukari Usukura, Yuki Shigoku, Teruaki Hayashi:
SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data. 3132-3141 - Md Shahir Zaoad, Niamat Zawad, Latifur Khan, Priyanka Ranade, Richard Krogman:
Density2R: Efficient Document Re-Ranking via Embedding Density Over Parametric Knowledge of Large Language Models. 3142-3151 - Yuhang Zhang, Lu Wu, Zhigang Zhao, Liting Geng, Yingdi Xu, Xiang Li:
A Graph Transformer-Based Framework for Shipborne Wind Speed Correction and Prediction. 3152-3160 - Chengshuai Zhao, Garima Agrawal, Fan Zhang, Tharindu Kumarage, Zhen Tan, Yuli Deng, Ying-Chih Chen, Huan Liu:
Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education. 3161-3170 - Yawen Zheng, Hanjia Lyu, Jiebo Luo:
Irony in Emojis: A Comparative Study of Human and LLM Interpretation. 3171-3175 - Shafiq Alam, Imran Khan Niazi, Hina Shafi, Waqar Ahmed Awan, Imran Amjad, Muhammad Sohaib Ayub, Mufti Mahmud:
Clustering-Based Balance Phenotyping in Older Adults from Treadmill Training Interventions. 3176-3185 - Rafe Sumnan Azade, Salim Sazzed:
Zero-Shot Learning Capabilities of Large Language Models (LLMs) in Extracting Key Insights from Suicidal Narratives. 3186-3194 - Eda Bahar, Ozgun Pinarer:
Enhancing Federated Learning Performance Through Clustering in Big Data Healthcare Scenarios. 3195-3200 - Benjamin Bowman, Abdulaziz Alhamadani, Shailik Sarkar, Bayazit Karaman:
CAEW: An Explainable Approach to Understanding EEG Patterns in Major Depressive Disorder. 3201-3209 - Ching-Hua Chuan, Guohaonan Zhang, Chao Wu:
Exploring Barriers and Misconceptions Toward Clinical Trials on Social Media Using Large Language Models. 3210-3215 - Oguzhan Gungor, Sultan Turhan, Ozgun Pinarer, Souhila Arib:
A Knowledge-Driven Multi-Tier Architecture for Lossless Medical Image Storage and Sub-Second Retrieval in Large-Scale Neuroimaging Studies. 3216-3225 - Yuna Haseyama, Tomoki Ito, Hiroki Sakaji, Itsuki Noda:
Medical Incident Causal Factors and Preventive Measures Generation Using Tag-Based Example Selection in Few-Shot Learning. 3226-3235 - Emna Hazmi, Ghada Besbes, Sana Ben Abdallah Ben Lamine, Narjès Bellamine Ben Saoud, Hajer Baazaoui:
Systematic Literature Review on Knowledge Graph for Clinical Decision Support Systems. 3236-3245 - Guanglongyu Huo, Yuhan Zhang:
OmniSenseNet: A Position-Specific Strategy for Complex Cell Image Segmentation. 3246-3254 - K. M. Sajjadul Islam, John Fields, Praveen Madiraju:
MultiMentalRoBERTa: A Fine-Tuned Multiclass Classifier for Mental Health Disorder. 3255-3264 - Supriya Kottam, Sony Annem, Yingcheng Sun:
Error-Aware Text-to-SQL Generation for Clinical Trial Eligibility Criteria Querying in EHR Databases. 3265-3274 - Ashery Mbilinyi, Callum O'Riley, Julia Handra, Ashley Moller-Hansen, Jason G. Andrade, Marc Deyell, Cameron Hague, Nathaniel M. Hawkins, Kendall Ho, Jonathan Leipsic, Roger C. Tam:
Efficient Neural Architectures for Real-Time ECG Interpretation on Limited Hardware. 3275-3284 - Youssef Mohamed, Noran Mohamed, Khaled Abouhashad, Feilong Tang, Sara Atito, Shoaib Jameel, Imran Razzak, Ahmed B. Zaky:
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-Ray Classification. 3285-3294 - Prateek Verma, Minh-Hao Van, Christopher McEnaney, Ashtyn Le, Amy R. Poe, Xintao Wu:
A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation. 3295-3304 - Jiawei Wu, K. M. Sajjadul Islam, Praveen Madiraju:
Prediction of Long COVID and Mortality Among Patients With Substance use Disorder. 3305-3314 - Jiue-An Yang, Yuzhou Chen, Calvin P. Tribby, Loretta Erhunmwunsee, Caroline A Thompson, Tarik Benmarhnia, Hugo Kyo Lee, Marta M. Jankowska, Yulia R. Gel:
Understanding the Impact of Environmental Contexts on Lung Cancer with Simplicial Representation Learning and Remote Sensing. 3315-3324 - Alan Zhang, Hamid Mansoor:
Visualizing Asthma-Related Digital Health Data for Everyday Users. 3325-3334 - Xiaofan Zhou, Liangjie Huang, Pinyang Chen, Wenpeng Yin, Rui Zhang, Wenrui Hao, Lu Cheng:
Accelerating Causal Network Discovery of Alzheimer's Disease Biomarkers via Scientific Literature-Based Retrieval Augmented Generation. 3335-3344 - Syeda Faiza Ahmed, Kaies Al Mahmud, Md. Saiful Islam, Lafifa Jamal:
Adaptive Semi-Supervised Federated Learning with Selective Knowledge Distillation. 3345-3354 - George Aziz, Obaidullah Zaland, Sajib Mistry, Aneesh Krishna, Monowar Bhuyan:
Concept Drift Aware Hierarchical Aggregation for Personalised Federated Learning. 3355-3364 - Nikolay Blagoev, Bart Cox, Jérémie Decouchant, Lydia Y. Chen:
Go With the Flow: Churn-Tolerant Decentralized Training of Large Language Models. 3365-3375 - Bart Cox, Abele Malan, Lydia Y. Chen, Jérémie Decouchant:
Catalyst: Asynchronous Byzantine-Robust Federated Learning. 3376-3385 - Jagan Mohan Reddy Danda, Murali Krishnan Kesavan, Haritha Ivsl, Pavankumar Tammineedi, Abhinay Kolli:
Adaptive Federated Learning with Dynamic Client Selection and Heterogeneous Data Distribution for Large-Scale IoT Applications. 3396-3405 - Pierluigi Dell'Acqua, Marco Garofalo, Francesco La Rosa, Massimo Villari:
Bridging the Gap in Federated Learning Deployment: Evaluation and Prototype Design. 3406-3415 - Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong:
Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety. 3416-3425 - Chao Feng, Nicolas Fazli Kohler, Zhi Wang, Weijie Niu, Alberto Huertas Celdrán, Gérôme Bovet, Burkhard Stiller:
ColNet: Collaborative Optimization in Decentralized Federated Multi-Task Learning Systems. 3426-3435 - João Gaspar, Bruno Ribeiro, José Pessoa, Diogo Martinho, Joaquim Santos, Goreti Marreiros:
Local Vs Server Differential Privacy Analysis Regarding the Trade-Off Between Security and Recommendation Quality. 3436-3441 - Amin Tuni Gure, Mario A. Bochicchio:
Federated Learning with Homomorphic Encryption for Secure Healthcare Applications. 3442-3451 - Xinyuan Huang, Jiechao Gao, Jie Wang:
Federated Neural Architecture Search with Model-Agnostic Meta Learning. 3452-3461 - Thu Thuy Le, Nhut Minh Nguyen, Nhat Truong Pham, Phuong-Nam Tran, Nguyen Doan Hieu Nguyen, Phuong Luu Vo, Balachandran Manavalan, Duc Ngoc Minh Dang:
Federated Semi-Supervised FixMatch: Enhancing CutMix for Medical Image Segmentation. 3462-3471 - Abdullah Al Omar, Xin Yang, Euijin Choo, Omid Ardakanian:
MASER: Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption. 3472-3481 - Duc A. Tran, Dung Truong, Duy Le:
RobustFSM: Submodular Maximization in Federated Setting with Malicious Clients. 3482-3490 - Kang Yang, Chungen Xu, Lei Xu, Pan Zhang, Rui Zhang:
NeuroScope: Trigger-Induced Activation Analysis for Backdoor Detection in Federated Learning. 3491-3500 - Obaidullah Zaland, Zulfiqar Ahmad Khan, Monowar Bhuyan:
Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning. 3501-3509 - Sileshi Nibret Zeleke, Mario A. Bochicchio:
FedPerAda: Personalized Federated Learning via Local Adapters and Similarity-Aware Aggregation. 3510-3520 - Han Kyul Kim, Shriniwas Nayak, Aleyeh Roknaldin, Stephen Lu:
Understanding and Generating Student Questions with LLMs in Collaborative Learning. 3521-3528 - Han Kyul Kim, Stephen Lu:
Performance Gap-Aware Distributionally Robust Optimization for Fair Deep Knowledge Tracing. 3529-3537 - James Sungarda, Hongkai Liu, Zilong Zhou, Tien-Hsuan Wu, Johnson Chun-Sing Cheung, Ben Kao:
GenAI for Social Work Field Education: Client Simulation with Real-Time Feedback. 3538-3547 - Meiling Wang:
Skillgraph-Align: A Skill Graph Enhanced Job Recommendation Method for University Graduates - A Decade-Long Validation on Real-World Data. 3548-3554 - Marzena Halama, Konrad Polys, Joanna Domanska:
Speech-Based Analysis of Aggression in Social Content: Resistance of Large Language Models to Signal Degradation. 3555-3564 - Haiyan Huang, Xueni Pan, Junchao Yang, Zhiwei Guo, Yu Shen:
An Intelligent Feeding Method for Recirculating Aquaculture Systems Based on Visual Perception and Large Language Models. 3565-3572 - Ziyan Huang, Qian Tao, Huiwang Peng, Wentao Zhang, Qiong Li:
Meteo-DGN: A Meteorology Dynamic Graph Network for Urban-Scale Downscaling. 3573-3582 - Wenxin Jiao, Haiyu Xu, Yutong Wang, Peng Xiao, Zhiwei Guo, Quyuan Wang:
A Novel Graph Convolution Learning-Based Rumor Detection Approach by Exploring Bi-Directional Propagation and Diffusion. 3583-3590 - Junjie Liu, Xi Luo, Sirong Wu, Gengchen Sun, Yuhui Deng:
Tracing Partisan Bias to its Emotional Fingerprints: A Computational Approach to Mitigation. 3591-3600 - Marina Musse, Mathieu Roche, Natalia Grabar:
Coherent Augmentation of Controversial Comments. 3601-3610 - Jun Sashihara, Yukihisa Fujita, Kota Nakamura, Masahiro Kuwahara, Teruaki Hayashi:
LLM-Based Multi-Agent System for Simulating Strategic and Goal-Oriented Data Marketplaces. 3611-3620 - Ayeong Seong, Junyeop Cha, Eunil Park:
KMD: Korean Meme Dataset and A Vision-Centric Approach for Negative Content Detection. 3621-3630 - Siqi Guo, Zhihao Gavin Tang:
Multi-Layer Feature Fusion for Detecting AI-Generated Code in Programming Education. 3631-3639 - Xinrui Tao, Qiaoling Shen, Qiushuang Pu, Quyuan Wang, Fan Yang:
A Large Language Model-Enabled Framework for Simulating Multi-Agent Cooperative Game. 3640-3648 - Wenxin Wu, Dan Cui, Junchao Yang, Yueming Zhou:
pH Prediction Based on Computer Vision in Recirculating Aquaculture System. 3649-3655 - Cheng Xu, M.-Tahar Kechadi:
Analysis of Semantic Benchmark Data Contamination Attack for LLM-Driven Fake News Detection. 3656-3664 - Hao Yang, Qin Zhang, Yifan Zhang:
MCDAN: Multi-Modal Cross-Domain Adaptation Network for Fake News Detection. 3665-3674 - Yanchao Zhang, Weiyu Lin, Qiyue Zhong, Qian Tao:
Resistant: A Generic Framework for Graph Neural Networks Against Adversarial Attacks. 3675-3684 - Jianyu Fu, Zhihua Zhong, Xukang Wang, Jue Ma, Yoshihide Sekimoto:
Linking Urban Morphology and Human Activity Patterns: An Empirical Study Based on Mobility Survey Data from the Paris Region. 3685-3694 - Isao Karube, Setsuya Kurahashi:
Bayesian Network-Driven Level Correction for Computer Adaptive Testing: A Data-Driven Approach to Optimizing Learning Sequence. 3695-3704 - Daimotsu Kato, Setsuya Kurahashi:
Analytical Model of Factory Automated Guided Vehicles Systems by Using Multi-Agent Systems. 3705-3711 - Sae Kondo, Kazuma Suzuki, Yukio Ohsawa:
Small Data for Walkability: Street-Furniture Experiments and Mobility Sensors in a Japanese Compact City. 3712-3718 - Kenta Kowatari, Ryuichi Shibasaki:
Schedule Recovery Strategies in Container Liner Shipping Networks Using Multi-Agent Simulations. 3719-3727 - Jun Nakamura, Sanetake Nagayoshi, Tomohiro Kuroda:
Modeling Autonomous Mobility Demand Between Islands: A Hybrid Framework Integrating Cyberspace and Physical Constraints. 3728-3733 - Yukio Ohsawa, Sae Kondo:
Latent Interestingness of Regions Externalized on Multiscale Trend-Reach Entropy. 3734-3741 - Anderson Tadeu de Oliveira Vicente, Flávio Soares Corrêa da Silva:
A Multiscale Hexagonal Framework for Urban Walkability Analysis Using Open Geospatial Data. 3742-3751 - Scott Thomson, Michael Bewong, Arash Mahboubi, Tanveer A. Zia:
Social Engineering Attacks: A Systemisation of Knowledge on People Against Humans. 3752-3761 - Slamet Kristanto Tirto Utomo, Hangli Ge, Noboru Koshizuka:
Leveraging Visitor Mobility and IoT Sensor Networks for Sustainable Waste Management. 3762-3771 - Zhenggui Xiang, Guanting Chen:
Mobility Data Asset Valuation for Spatial Environment Design. 3772-3781 - Xiaojie Yang, Dizhi Huang, Hangli Ge, Masahiro Sano, Takeaki Ohdake, Kazuma Hatano, Noboru Koshizuka:
Place with Intention: An Empirical Attendance Predictive Study of Expo 2025 Osaka, Kansai, Japan. 3782-3789 - Masahiro Bessho, Ken Sakamura:
Towards a Citizen-Participatory Platform for Accessibility Data Collection Using a Multimodal Large Language Model. 3800-3807 - Masaru Dobashi, Kohei Toshimitsu, Hirotsugu Seike, Miki Kanno, Genki Horie, Noboru Koshizuka:
A Proposal for High-Level Architectural Model Capable of Expressing Various Data Collaboration Platform and Data Space Concepts. 3808-3817 - Hangli Ge, Hideaki Takeda, Takeshi Sagara, Naho Kitano, Noboru Koshizuka:
XCKAN: Federated Catalog for Data Discovery in Dataspaces. 3818-3824 - Soo-Yon Kim, Liam Tirpitz, Max Wagels, Benedikt T. Arnold, Christian Rennert, István Koren, Janik Rapp, Mario Moser, Wil M. P. van der Aalst, Bernhard Rumpe, Robert H. Schmitt, Jan Pennekamp, Sandra Geisler:
Dataspaces for Collaborative Research. 3835-3844 - Yukio Ohsawa:
Data Users' Tsugoes Fit Data Free Flow with Trust - Lessons by Large Language Model -. 3845-3852 - Kenji Sakiyama, Aya Takeichi, Karin Matsumoto, Yusuke Taira, Setsuya Kurahashi:
A Verifiable AI Framework Informed by DFFT: Integrating LLMs with Synthetic Data via MCP for Consumer Preference Estimation. 3853-3861 - Hirotsugu Seike, Yasukazu Aoki, Noboru Koshizuka:
Quantitative Analysis of Blockchain Consensus Effects on Dataspace Transaction Latency. 3862-3871 - Muhammet Furkan Atalay, Kasim Öztoprak, Yusuf Kursat Tuncel:
Passive Monitoring-Based Security Barometer: Determining Trust Levels and User Classification Through Risk Assessment. 3872-3877 - Asha Hemrajani, Davis Zheng Yang:
Closing the Gaps: A Regulatory Framework for Bias-Aware AI-Enabled Cybersecurity. 3878-3886 - Sabriye Nur Senturk, Damla Uslu, Enes Furkan Ozdemir, Reza Zare Hassanpour, Kasim Öztoprak, Yusuf Kursat Tuncel:
Explainable Anomaly Detection Framework for Electronic Health Record Access Logs. 3887-3895 - Yusuf Kursat Tuncel, Kasim Oztoprak, Reza Hassanpour:
Securing Agricultural IoT Networks: Adapting SAFE-CAST Framework for LoRa-Based Smart Farming Applications. 3896-3905 - Shamsher Ullah, Farhan Ullah, Muhammad Umar Farooq, Gautam Srivastava, Victor C. M. Leung:
H_SIG: Privacy-Preserving Auction for Big Data Based on Homomorphic Signcryption. 3906-3913 - Keun Soo Yim:
Forecasting Extreme Production Outages in Agile, Big Data and Machine Learning Services: Simple, Two-Parameter Software Reliability Models for Root Cause Insights. 3914-3923 - Alfred Asare Amoah, Yan Liu:
Explainable Retrieval and Graph Augmented Code Vulnerability Repair Recommendations. 3924-3933 - Jackson Astraikis, Robby Martin, Andrew Van Es, Supriya Kottam, Yingcheng Sun:
Benford-Constrained Multimodal Learning for Few-Shot Fake Image Detection. 3934-3941 - Pi-Wei Chen, Myroslav Mishchuk, Alexandre Niyomugaba, Jerry Chun-Wei Lin, Rafal Cupek:
KG-SEA: A Self-Evolving Framework for Iterative Knowledge Graph Construction in Graph-RAG Systems. 3942-3949 - Andrea Fedele, Beatrice Ferrigno, Riccardo Guidotti:
Explaining Relation Networks for Few-Shot Learning. 3950-3959 - Jiechao Gao, Rohan Kumar Yadav, Xinyuan Huang, Jie Wang:
Enhancing Interpretability in Self-Training with Tsetlin Machines for Mitigating Noisy Pseudo-Labels. 3960-3968 - Cristiano Landi, Alessio Cascione, Riccardo Guidotti:
Interpretable and Accurate Hybrid Decision Trees with Selective Case-Based Splits. 3969-3978 - Michal Lenort, Jakub Szygula, Dariusz Marek, Karol Marszalek, Adam Domanski:
Comparative Analysis of Generator Architectures in Cyclegan for Image Style Transfer. 3979-3987 - Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu:
FABLE: Fairness Attack in Abusive Language Detection. 3988-3997 - Antonio Mastropietro, Riccardo Guidotti, Andrea Iommi, Anna Monreale, Salvatore Ruggieri:
Counterfactual Explanations for Ranking in Algorithmic Hiring. 3998-4007 - Alexandre Niyomugaba, Dariusz Mrozek:
GPU-Enabled Edge-based Federated Continual Learning with Resource Adaptation for Efficient Non-Stationary Visual Anomaly Detection. 4008-4017 - Pranjal Patil, Anli Ji, Berkay Aydin:
Physics-Guided Counterfactual Explanations for Large-Scale Multivariate Time Series: Application in Scalable and Interpretable SEP Event Prediction. 4018-4027 - Olena Pavliuk, Myroslav Mishchuk:
Iterative Weighted-Voting Approach for Adaptive Time-Series Anomaly Correction in Federated AGV Systems. 4028-4035 - Tomasz Skowron, Adam Mastalerz:
Accelerating Model Development for Vulnerability Detection with Federated Learning. 4046-4054 - Ireneusz Smolka, Olena Pavliuk, Rafal Cupek, Jakub Musial:
Federated Learning for Wireless Communication Prediction - The Use Case of Internal Logistic System Based on AGV. 4055-4062 - Ireneusz Smolka, Piotr Gaj, Jacek Stój:
A Multi AI Agent Framework for OT Network Traffic Assesment in 5G Based AGV Communication. 4063-4070 - Kiana Vu, Ismet Selçuk Özer, Phung Lai, Zheng Wu, Thilanka Munasinghe, Jennifer C. Wei:
From Black Box to Insight: Explainable AI for Extreme Event Preparedness. 4071-4080 - Shan Xie, Man Luo, Chadly Daniel Stern, Mengnan Du, Lu Cheng:
DemoShapley: Valuation of Demonstrations for In-Context Learning. 4081-4090 - Tomasz Zyzak, Piotr Gaj, Ireneusz Smolka:
XAI-Enhanced Sensor Fusion for Reliable Predictive Analytics in Industry 4.0. 4091-4098 - Dinesh Chowdary Attota, Ying Xie:
EvoRL: Evolution of Agentic Workflows Using Reinforcement Learning. 4099-4106 - Chi-Fang Chao, Mu-En Wu, Hsin-Hung Li, Ming-Hua Hsieh:
Turning Point Prediction Under Multi-Objective Genetic Algorithm. 4107-4112 - Chun-Hao Chen, Chieh-Shu Jaun, Chao-Chun Chen, Tzung-Pei Hong:
A Concept Drift-Based Technique for Trading Strategy Portfolio Dynamic Adjustment in Streaming Data Environments. 4113-4119 - Jaidev Goel, Roshni Anna Jacob, Jie Zhang, Yulia R. Gel:
Topological Robust Reinforcement Learning. 4120-4129 - Kevin Hayes, Yingcheng Sun:
Modality-Aware Multimodal Fusion for Sleep Event Classification. 4130-4135 - Tzung-Pei Hong, Jing-Chi Yang, Yu-Chuan Tsai, Chun-Hao Chen:
Rescan-Amended Federated Utility Mining. 4136-4141 - Tzung-Pei Hong, You-Da Chuang, Yu-Chuan Tsai, Shu-Min Li, Wen-Yang Lin:
Perturbation-Based Vertical Federated Frequent Itemset Mining. 4142-4148 - Tomohiro Kimura, Shusaku Tsumoto:
Medical Incident Reports Analysis. 4149-4154 - Jay Chiehen Liao, Jun-Wei Chiu, Cheng-Te Li:
TabGSL: Graph Structure Learning for Tabular Data Predictions. 4155-4164 - Chee-Hoe Loh, Yi-Chung Chen, Yang-Chou Juan, Chun-Yuan Wang, Wen-Huang Wang, Shao-Yuan Lin, Jia-Ching Ying:
Application of Radial Basis Function and Deep Neural Networks to Identify Factors Underlying Missed Appointments at Hospital Outpatient Clinics. 4175-4180 - Bozena Malysiak-Mrozek, Tomasz Sitek, Vaidy S. Sunderam, Boleslaw Pochopien, Krzysztof Tokarz, Che-Lun Hung, Dariusz Mrozek:
From Genetic Reads to Information Granules: Scalable Big NGS Data Cleaning with Apache Pig. 4181-4186 - Paritosh Pandey, Shirley Tian, Shaoen Wu, Linh Le:
An Investigation of Data Granularity in RAG Pipelines for Personalized Medicine. 4187-4192 - Ja-Hwung Su, Liang-Yu Chen:
An Effective Music Emotion Recognition Approach Fusing Multi-Temporal Convolution Neural Networks and Auditory Fragment Mining Techniques. 4193-4196 - Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano:
Topological Data Analysis in Rule Mining Space. 4197-4206 - Lukasz Wawrowski, Konrad Chwelatiuk, Marcin Michalak, Iwona Kostorz, Dominik Slezak, Piotr Biczyk, Blazej Adamczyk, Maksym Brzeczek:
Information Granulation for Hierarchical Feature Selection in Detection of Anomalies in IoT Devices. 4207-4216 - Abdul Barek, Md Bajlur Rashid, ABM Kamrul Islam Riad, Md. Mostafizur Rahman, Sharmin Yeasmin, Md. Jobair Hossain Faruk, Hakki Erhan Sevil, Guillermo Francia, Hossain Shahriar, Alfredo Cuzzocrea, Sheikh Iqbal Ahamed, Coskun Cetinkaya:
Secure Database Sharing in Healthcare: An LLM Based HIPAA Compliant Solution for Data Privacy and Security. 4217-4226 - Md Morshedul Islam, Suraj Neupane, Md. Jobair Hossain Faruk, Hossain Shahriar, Alfredo Cuzzocrea:
Exposing Privacy Vulnerabilities in Federated Learning: A GAN-Based Model Inversion Attack. 4227-4236 - Tasmin Karim, Mst. Shapna Akter, Alfredo Cuzzocrea:
A Benchmark Dataset for Code-Level Vulnerability Detection and Analysis. 4237-4246 - Jiyao Li, Wei Liu:
When Summaries Lie: Adversarial Attacks on Abstractive Summarization Models. 4248-4252 - Mingchen Li, Di Zhuang, Keyu Chen, Dumindu Samaraweera, J. Morris Chang:
Exploiting Meta-Learning-Based Poisoning Attacks for Graph Link Prediction. 4253-4262 - Yong Li, YiMing Wang, Han Gao, Shuo Yang, Yongxin Jiang:
Personalized Federated Learning with Shared Feature Tables. 4263-4268 - Yong Li, Zhuoran Li, Yiming Zhang, Gang Liu:
A Prototype-Based Personalized and Fair Federated Graph Learning Algorithm. 4269-4275 - Yong Li, Zhuoran Li, Yiming Zhang, Chenxi Hao, Gaochao Xu:
Enhancing Privacy and Accuracy in Federated Learning Via Local Model Ensemble and Data Shuffling. 4276-4287 - Hung-Chia Lu, Cheng-Te Li:
BitGNN: Bipartite Tabular Graph Neural Networks for Privacy-Preserving Data Synthesis. 4288-4297 - Adiba Mahmud, Yasmeen Rawajfih, Hossain Shahriar, Fan Wu:
Contamination-Aware, Taxonomy-Driven Vulnerability Classification for CPS: Evidence and Insights at Scale. 4298-4304 - S. M. Mustaquim, Anantaa Kotal, Paul H. Yi:
When Privacy Isn't Synthetic: Hidden Data Leakage in Generative AI Models. 4305-4314 - Jakob Richard Proos, Giuseppe Cascavilla, Cristoffer Leite, Alfredo Cuzzocrea:
Mind the Shift: A Study on Transfer Learning and Domain Adaptation in Vehicular Intrusion Detection. 4315-4324 - Md Abdur Rahman, Guillermo Francia, Hossain Shahriar, Eman El-Sheikh, Alfredo Cuzzocrea, Sheikh Iqbal Ahamed:
Explaining Network Intrusion Detection System with SHAP and LIME. 4325-4332 - Md Abdur Rahman, Guillermo Francia, Hossain Shahriar, Alfredo Cuzzocrea, Atef Mohamed, Muhammad Umair Khan, Sheikh Iqbal Ahamed:
A Survey of Large Language Models (LLMs) for Cybersecurity: Opportunities and Directions. 4333-4342 - Md Bajlur Rashid, Mohammad Shafayet Jamil Hossain, Mohammad Ishtiaque Khan, Sharaban Tahora, Aiasha Siddika, Mahmudul Islam Prakash, Sharmin Yeasmin, Hossain Shahriar:
A Survey on the Role of LLMs in AI-Based Software Development: Augmentation and Latent Risks. 4343-4352 - ABM Kamrul Islam Riad, Md Reazul Hassan Rizvi, Abdullah Al Mamun, Shakil Miah, Md Abdul Barek, Yasmeen Rawajfih, Muhammad Umair Khan, Hossain Shahriar, Alfredo Cuzzocrea:
Phishing Defense: An ML-Based URL Detection System with Real-World Deployment. 4353-4359 - ABM Kamrul Islam Riad, Abdullah Al Mamun, Salma Akter, Md Abdul Barek, Maliha Zaman Nizum, Guillermo Francia, Hossain Shahriar, Alfredo Cuzzocrea, Sheikh Iqbal Ahamed:
Healthcare Solutions for Noisy Clinical Text: A Federated Privacy-Preserving Approach. 4360-4369 - Carlos Gonzalez, Tomas Jara, Carlos Alvarado:
Web-Based System with RFID, OCR, and Digital Payment Technology for Automated Management and Electronic Toll Collection in Metropolitan Lima. 4370-4377 - Md. Shazzad Hossain Shaon, Mst. Shapna Akter, Alfredo Cuzzocrea:
ResVul-LLM: A Neurosymbolic Framework Combining Large Language Models and Symbolic Reasoning for C/C++ Vulnerability Analysis. 4378-4387 - Shivani Shukla, Himanshu Joshi:
Temporal Privacy Drift in Tool-Augmented Large Language Models: A Quantitative Framework for Big Data System Security. 4388-4395 - Md. Fahim Sultan, Mst. Shapna Akter, Alfredo Cuzzocrea:
P3R: Parallel Plugin-Based Parameter Efficient Fine-Tuning for Code Understanding Through Hierarchical Representation Refinement. 4396-4405 - Md. Fahim Sultan, Mst. Shapna Akter, Alfredo Cuzzocrea:
CodeVul+: A Structure-Aware Framework for Cross-Repository Vulnerability Detection. 4406-4415 - Maryam Taeb, Shonda Bernadin, Hongmei Chi:
A Decentralized Approach to Deepfake Detection Using Blockchain-Based Federated Learning in Forensic Contexts. 4416-4424 - Obaidullah Zaland, Sajib Mistry, Monowar Bhuyan:
Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning. 4425-4434 - Shamil Al-Ameen, Bharath Sudharsan, Osamah Alzacko, Roua Al-Taie, Tejal Shah, Rajiv Ranjan:
DART: Device-Native Adaptive Real-Time Training for Lifelong Learning on IoT Boards. 4435-4444 - M. Akroma E. Ansah, Carson K. Leung, Omodesayo A. Owolabi, Alfredo Cuzzocrea:
Machine Learning on Big Data for Crime Trend Analytics and Prediction. 4445-4454 - Soumia Benkrid, Alfredo Cuzzocrea:
Segment-Aware Learning for Adaptive Customer Churn Prediction. 4455-4464 - Ishani Chakraborty:
Hybrid Optimized Bayesian Policy for Training Set Sampling for Recommendation Systems from Variably Imbalanced Clusters of Raw Data *: *Bayesian Hybrid Sampler. 4465-4473 - Abhisek Chakraborty:
Empirical Likelihood for Regression with Sparsely Permuted Data. 4474-4483 - Ishani Chakraborty:
Algorithms for Optimization and Near-Optimization of Time Series of Recommendations Based on Computational Model of Delayed Feedback Series. 4484-4493 - Anqi Chu, Wilhelm Stork:
Hybrid Reinforcement Learning to Optimize for Physics-Constrained Spectral Analysis. 4494-4503 - Alfredo Cuzzocrea, Cristina Seceleanu, Tiberiu Seceleanu:
A Self-Adaptation Framework for Supporting Distributed Computing Based on Industry-Scale Digital Twins. 4504-4510 - Alfredo Cuzzocrea, Abderraouf Hafsaoui, Ismail Benlaredj:
Generation, Analysis and Experimental Validation of an Emotion-Enlightened Synthetic Dialogue-Dataset via Advanced LLM-Based Methodologies. 4511-4519 - Alfredo Cuzzocrea:
Multidimensional Big Healthcare Data Generation for Alzheimer Disease Early Prevention and Analytics: The HCRS Algorithm. 4520-4531 - Alfredo Cuzzocrea:
ALCMAEON: A Multidimensional Big Data AnaLytiCs PlatforM for Supporting Predictive Analysis and Mining over Clinical and MEdical (Big) Data ON Alzheimer's Disease Patients. 4532-4543 - Omer Faruk Deniz, Ruiyu Mao, Ruochen Li, Yapeng Tian, Latifur Khan:
Vision Token Reduction via Attention-Driven Self-Compression for Efficient Multimodal Large Language Models. 4544-4551 - Junqing Duan, Xiaotao Wei, Xiang Wei, Bingke Fu, Dashuai Guan, Ruiping Yu:
iTransformer-LSTM-MoE: A Dual-Branch Mixture-of-Experts Framework for Disk Failure Prediction. 4552-4559 - Carlos Daniel Cubas Gallardo, Leslie Viviana Torres Chulluncuy, Carlos Alberto Alvarado Quintana:
Web Application Based on Machine Learning for the Prediction and Prevention of Low Academic Performance in Primary School Students in the District of Matara, Cajamarca. 4560-4565 - Fengchen Gu, Zhilu Zhang, Zhengyong Jiang, Ángel F. García-Fernández, Jionglong Su, Huakang Li:
Memory Instance Gated Transformer Reinforcement Learning for Portfolio Management. 4566-4575 - Leila Habibi, Madjid Maidi, Larbi Boubchir, Boubaker Daachi:
Hybrid CNN-Transformer Architecture for Object Detection and Multimodal Captioning in Educational Contexts. 4576-4585 - Jianjun He, Feng Qiao, Ruirui Zheng, Yu Zhou, Xinshu Cui, Peng Xu:
Multi-View Kernel Geometric Mean Metric Learning. 4586-4594 - Jing He, Han Zhang, Lin Chen, Cheng Luo, Wei Guo, Zhen Zhang:
SCL-CFSR: Context-Aware Session-Based Recommendation via Self-Contrastive Learning and Multi-Layer Self-Filtering Residual Attention. 4595-4604 - Long Hoang, Umair ul Hassan:
A Stacking-Based Ensemble Deep Learning Approach to Forecast Offshore Wind Farm Power Output. 4605-4612 - Abhinav Jain, Carson K. Leung, Thanh Trung Jack Nguyen, Jing Xiang Ong, Alfredo Cuzzocrea:
Machine Learning on Big Economic Data for Predictive Financial Analytics. 4613-4622 - Ragini Kihlman, Maria Fasli:
Hallucination Detection and Reclassification Using Graph Co-Training. 4623-4632 - Jimin Kim, Young Yoon:
Predicting Machine Learning Training Costs with MLPerf Benchmarks. 4633-4642 - Xiaodi Li, Dingcheng Li, Rujun Gao, Mahmoud Zamani, Feng Mi, Latifur Khan:
PPSEBM: An Energy-Based Model with Progressive Parameter Selection for Continual Learning. 4643-4652 - Hamza Haruna Mohammed, Dusica Marijan, Arnbjørn Maressa:
Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-Based Approach. 4653-4662 - Manuel Mondal, Ljiljana Dolamic, Philippe Cudré-Mauroux, Julien Audiffren:
Two Shots are Enough: Reliable Constrained Generation with LLMs. 4663-4672 - Davide Rucci, Sebastian Parfeniuc, Matteo Mordacchini, Emanuele Carlini, Alfredo Cuzzocrea, Patrizio Dazzi:
A Parallel and Distributed Rust Library for Core Decomposition on Large Graphs. 4673-4682 - Zineddine Tighidet, Lazhar Labiod, Mohamed Nadif:
Classification EM-PCA for Clustering and Embedding. 4683-4692 - Emre Umucu, Guillermina Solis, Leon Garza, Emilia Rivas, Beatrice Lee, Anantaa Kotal, Aritran Piplai:
Empathy by Design: Aligning Large Language Models for Healthcare Dialogue. 4693-4702 - Keyu Wan, Ranga Raju Vatsavai:
Comparative Evaluation of Deep Learning Models for Large-Scale Deforestation Mapping. 4703-4712 - Shu Wan, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan:
CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting. 4713-4722 - Kenta Yamamoto, Teruaki Hayashi:
Designing Reputation Systems for Manufacturing Data Trading Markets: A Multi-Agent Evaluation With Q-Learning and IRL-Estimated Utilities. 4723-4732 - Niamat Zawad, Patrick T. Brandt, Latifur Khan, Vito J. D'Orazio, Javier Osorio:
Conflict Event Actor Prediction Using Spatial Graph Neural Networks. 4733-4742 - Shenghan Zhao, Yuzhen Lin, Ximeng Yang, Qiaochu Lu, Haozhong Xue, Gaozhe Jiang:
Optimization of Deep Learning Models for Dynamic Market Behavior Prediction. 4743-4756 - Zhiwei Zhou, Chunxiao Wang, Chuantao Li, Jintao Li, Xiaoning Wang, Yanchao Xiao, Dingfeng Yu, Jian Zhang:
USTNet: A Knowledge-Guided Spatio-Temporal Deep Learning Framework for Ulva Prolifera Suitability Assessment. 4757-4764 - Stephen C. Gravereaux, Sheikh Rabiul Islam:
Accuracy and Efficiency Trade-Offs in LLM-Based Malware Detection and Explanation: A Comparative Study of Parameter Tuning vs. Full Fine-Tuning. 4765-4773 - Ninon De Mecquenem, Simon Bosse, Vasilis Bountris, Fabian Lehmann, Somayeh Mohammadi, Pauline Karega, Knut Reinert, Ulf Leser:
Domain-Specific Data Compression for Nextflow with COMET-FLOW. 4774-4783 - Saeid Sheikhi:
SLMFORGE: Small Language Models for Federated Feature Selection via Union Aggregation in Cybersecurity. 4784-4792 - Ethan Silverstein, Angel Todorov:
Temporal Entropy Gating for Storage Aware Video Analytics. 4793-4798 - Yuchun Wang, Guoying Zhang, Jingqi Wang, Hui Qi, Chunbo Wang:
Similarity-Aware Techniques for Deduplication in Large-Scale Remote Sensing Data. 4799-4808 - Changao Wang, Ronghuai Luo, Mei Sun, Zhiping Zhang, Peiguang Lin:
LSM-CAD: A Lightweight and Semantic-Guided Multi-Model Algorithm for Campus Anomaly Detection. 4809-4814 - Yuming Xu, Zhanchao Xu, Yaowen Liu, Xuejia Chen, Qi Chen, Mingtao Zhang, Zhuohan Ge, Haoyang Li, Chen Jason Zhang:
Fast and Faithful: A Lightweight Spatio-Temporal GNN for Semi-Supervised Air Quality Forecasting with Inductive Capability. 4815-4824 - Xiangkai Yin, Shuoyu Wang, Zhaorui Zhang, Zimeng Zhou, Lei Ju, Zhuoran Ji:
TensorNTT: Architecture-Aware Optimizations for Number-Theoretic Transform on Tensor Core Unit. 4835-4844 - Changfeng Zou, Bigyan Ghimire, Jon C. Calhoun:
SZ3_SIMD: Accelerating Error-Bounded Lossy Compression with Architecture Independent SIMD. 4845-4854 - Saddam Abdulwahab, Sylvie Chambon, Simone Gasparini:
3D-FireRecon: Single-Image 3D Firearm Reconstruction Using Video-Derived Voxel Supervision. 4855-4864 - Yang Chen, Ickjai Lee, Zhigang Lu, Xiaoqin Shen, Ziyang Cheng, Junhui Zhou:
Spatial Neighborhood-Enhanced Framework for Efficient Loss and Regularization in Skeleton-Based Anomaly Detection. 4865-4873 - Alexandros Kalpazidis, Georgios Stavropoulos, Konstantinos Votis:
GunPT: A Privacy-Preserving Mobile Application for Firearm Classification. 4874-4881 - Eleftheria Katsoura, Georgios Stavropoulos, Konstantinos Votis:
A Unified Blockchain Analytics Platform for Multi-Cryptocurrency Forensics with Explainable AI. 4882-4891 - Eleftheria Katsoura, James M. Ferryman, Georgios Stavropoulos, Andreas Uhl, Henryk Gierszal, Arkadiusz Kruszynski, Piotr Tyczka, Sarah Murray, Mariano Martín Zamorano Barrios, Eileen Murphy, Konstantinos Votis:
Vision Paper: AutoBorder - Vehicle-Integrated Solutions for Drive-Through and Human-Centric Borders. 4892-4900 - Eleftheria Katsoura, Georgios Stavropoulos, Konstantinos Votis:
Vision Paper: CERTHTRACE - Transforming Cryptocurrency-Facilitated Crime Investigation through Explainable, Hybrid Intelligence. 4901-4907 - Maria Makrynioti, Chaido Porlou, Alexandros Kalpazidis, Eleftheria Katsoura, Anastasios Alexiadis, Georgios Stavropoulos, George Pantelis, Konstantinos Votis, Dimitrios Tzovaras:
CYBERPATROL: An Intelligent Platform for Monitoring Illicit Online Firearms Trafficking. 4908-4917 - Maria Makrynioti, George Lazaridis, Georgios Spanos, Georgios Stavropoulos, Periklis Chatzimisios, Silvia Canale, Esther Stallone, Konstantinos Votis, Dimitrios Tzovaras:
Securing Data-Driven Cognitive V2G Charging: Edge Intelligence and Cybersecurity for Trusted EV Energy Exchange. 4918-4927 - Garyfallia Papadopoulou, Alexandros Kalpazidis, Ioannis Grypiotis, Georgios Stavropoulos, Konstantinos Votis:
A Privacy-Preserving System for Border Crossing and Inspection. 4928-4937 - Yewei Hu, Guangshun Li, Junhua Wu:
Multi-Behavior Recommendation System Based on Self-Attention and Contrastive Learning. 4938-4947 - Yunhee Jeong, Aekyeung Moon, Eunsang Yu, Seung Woo Son:
Lightweight Stream-Based On-Device Earthquake Detection: A Sparse Profile Analysis Approach. 4948-4953 - Aashish Panta, Giorgio Scorzelli, Amy Ashurst Gooch, Werner Sun, Katherine S. Shanks, Suchismita Sarker, Devin Bougie, Keara Soloway, Rolf Verberg, Tracy Berman, Glenn Tarcea, John Allison, Michela Taufer, Valerio Pascucci:
Large Data Acquisition and Analytics at Synchrotron Radiation Facilities. 4954-4963 - Liam Tirpitz, Sandra Geisler:
Cross-Organizational Data Stream Management using Solid Data Spaces. 4964-4972 - Yu Foon Darin Chau, Andrew Horner:
Chord Latent Decoupling for Music Mashups. 4973-4980 - Anh-Dung Dinh, Xinyang Wu, Andrew Brian Horner:
Effects of Tempo and Tonality on Listener Enjoyment of Automated Pop Mashups. 4981-4988 - Daniel Faronbi, Peter Traver:
A Modular Approach to Music Generation: Adding Music Controls to Neural Audio Compression Models. 4989-4995 - Radhika Grover, Ankit Maurya, Manikandan Ravikiran, Rohit Saluja:
Can Language Models Verify Indian Classical Music Note Sequences for Early Learners? 4996-5002 - Anna Jordanous:
Emovectors: Assessing Emotional Content in Jazz Improvisations for Creativity Evaluation. 5003-5006 - Maximos Kaliakatsos-Papakostas, Dimos Makris, Konstantinos Soiledis, Konstantinos-Theodoros Tsamis, Vassilis Katsouros, Emilios Cambouropoulos:
Pay (Cross) Attention to the Melody: Curriculum Masking for Single-Encoder Melodic Harmonization. 5007-5015 - Callie C. Liao, Duoduo Liao, Ellie L. Zhang:
MusicAIR: A Multimodal AI Music Generation Framework Powered by an Algorithm-Driven Core. 5016-5025 - Sanjay Majumder, Karl Reichard:
BiGRU: Bi-Directional GRU-Based Approach for Audio Source Separation. 5025-5032 - Sanjay Majumder:
Neural Motif Recombination: A Transformer-Based Framework for Cross-Genre Music Generation. 5026-5034 - Mohammad Shokri, Alexandra C. Salem, Gabriel Levine, Johanna Devaney, Sarah Ita Levitan:
Story2MIDI: Emotionally Aligned Music Generation from Text. 5043-5050 - Rebecca Wroblewski, Julius O. Smith:
Diffusion for Room Impulse Response Generation. 5051-5056 - Ellie L. Zhang, Duoduo Liao, Callie C. Liao:
Dynamic Multi-Species Bird Soundscape Generation with Acoustic Patterning and 3D Spatialization. 5057-5066 - Saroj Gopali, Bipin Chhetri, Deepika Giri, Sima Siami-Namini, Akbar Siami Namin:
In-Context and Few-Shots Learning for Forecasting Time Series Data Based on Large Language Models. 5067-5076 - David Heye, Karl Kindermann, Robin Decker, Johannes Lohmöller, Anastasiia Belova, Sandra Geisler, Klaus Wehrle, Jan Pennekamp:
Supporting Artifact Evaluation with LLMs: A Study with Published Security Research Papers. 5077-5085 - Vamsi Krishna Koppala, Srijagan Tirumalavasa Adari, Akbar Siami Namin:
An LLM-Based Multi-Modal Framework for Efficient and Realtime Detection of Sensitive Information Using Speech and Transcribed Data. 5086-5095 - Bipsa Paka, Akbar Siami Namin, Faranak Abri, Keith S. Jones:
Emotion Detection in Imbalanced Conversational Data Using Transformer-Based Language Models. 5096-5103 - Maharage Nisansala Sevwandi Perera, Franziska Zimmer, Ryosuke Kobayashi, Mhd Irvan, Rie Shigetomi Yamaguchi, Yoshihiro Tanaka:
Investigating Robot Behavioral Biometrics Through Interaction Logs for Distinguishing Operators. 5104-5113 - Daniel Berhane Araya, Duoduo Liao:
FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection. 5114-5123 - Jonathan Grienay, Marina Reyboz, Martial Mermillod, Laurent Rodriguez, Benoît Miramond:
Leveraging Brain Inspired Principles for Data Efficient Multimodal Learning. 5132-5141 - Jia Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi:
Diffusion is Your Friend in Show, Suggest and Tell. 5142-5151 - Hyeong-Ryul Jo, Young-Woo Kwon:
Cognitive Consistency Verification: Neuro-Symbolic Approach for Mitigating VLM Hallucination. 5152-5155 - Primoz Kocbek, Azra Frkatovic-Hodzic, Dora Lalic, Vivian Hui, Gordan Lauc, Gregor Stiglic:
Exploration of Augmentation Strategies in Multi-Modal Retrieval-Augmented Generation for the Biomedical Domain*: *A Case Study Evaluating Question Answering in Glycobiology. 5156-5165 - Abideep Singh Kondal, Ravinder Singh Ghataura, Yan Liu, Zerui Wang:
The Hybrid Deployment Architecture for Explainable and Robust Video Understanding. 5166-5174 - Shuhong Lin, Moshe Zukerman, Hong Yan:
Dance to Music Generation Based on Residual Vector Quantization. 5175-5178 - Yangyu Liu, Mingzi Chen, Hongjun Li:
Enhancing Text-to-Image Diffusion with Intent-Aware Semantic Alignment from Simple Prompts. 5179-5186 - Shubha Masti, Shyam K. Sateesh, Siyani Vengatagiri, Athul Raimon, Bhaskarjyoti Das:
Weight of a Feeling: Temporal and Modal Contributions to Emotion from Music Videos. 5187-5193 - Felipe Moreno Vera, Andres De-la-Puente, Jorge Poco:
UrbanPhysicalDisorder-4K: Understanding Urban Perception via Counterfactuals and Street View Signs of Physical Disorder. 5194-5200 - Songwen Pei, Jian Zhang, Kai Cong:
TGRPO-SRM: Token-Aware GRPO with Semantic Reward Modeling for Referring Expression Grounding. 5201-5208 - Arun Rajaratnam, Zois Boukouvalas:
Multimodal Fusion of Chest Radiographs and Text Reports for Heart Failure Detection. 5209-5213 - Yeswanth Ravichandran, Duoduo Liao, Charan Teja Kurakula:
Data-Driven Assessment of Concrete Slab Integrity via Impact-Echo Signals and Neural Networks. 5214-5223 - Tomás Ruiz, Tanalp Agustoslu, Carsten Schwemmer:
Rethinking Ground Truth: A Case Study on Human Label Variation in MLLM Benchmarking. 5224-5229 - Sneha, Chen Ding:
HMR-LLM: Hybrid Multimodal Sequential Recommendation with LLM Reranking. 5230-5237 - Yoshiyuki Sone, Yuma Dose, Takahiro Hara, Takuya Maekawa, Kazuki Shimazaki, Teppei Seguchi, Takayuki Kikuchi, Kenshiro Kato:
MMGSL: Multi-Modal Graph Structure Learning for Recommendation. 5238-5245 - Yanan Wu, Chaoqun Hong, Xuebai Zhang, Shuo Wang, Hongbin Yang:
FireSeg-SAM: A Dual-Module Architecture with Context-Aware FireAdapter and Domain-Bridge for Effective Fire Segmentation. 5246-5250 - Shuo Yan, Yan Yang, Hu Jin:
Cross-Modal Consistency Learning with Dynamic Multimodal Fusion for Fake News Detection. 5251-5254 - Fang-Chun Yeh, Urjitkumar Patel, Chinmay Gondhalekar:
AVATAAR: Agentic Video Answering via Temporal Adaptive Alignment and Reasoning. 5255-5262 - Fengchi Yu, Guangshun Li, Junhua Wu:
A Lightweight Visible and Infrared Fusion Framework for Object Detection from UAV Perspectives. 5263-5266 - Shiyin Zhang, Wenhao Chen, Guojie Song, Gang Shen, Wenjun Ma, Rundong Cao:
Attribute-Enhanced Fine Tuning for Subject-Driven Generation. 5267-5276 - Lucas Henrique de Lima Antonio, Sidney Junior Corrêa Terenciani, Danilo Medeiros Eler, Lourenço Alves Pereira Júnior, Robson Eduardo De Grande, Geraldo P. R. Filho, Rodolfo Ipolito Meneguette:
Analyzing the Role of Autonomous Vehicles and Vehicle-As-A-Service in Enhancing Public Transport Efficiency in SãO Paulo. 5277-5286 - Pengnan Chi, Xiaoliang Ma:
One-Step Generation in Traffic Forecasting with Flow-Based Models. 5287-5292 - Yasir Hassan, Yosif Mohamedain, Mohamed K. M. Fadul, Austin Harris, Mina Sartipi:
Cloud-Based Network-V2X Platform for Improving Road Users Safety. 5293-5300 - Joseph Natter, Yifan Zhang, David Hart, Rui Wu:
Improving Transformer-Based Multivariate Time Series Forecasting with Vector Field Embeddings and Sparse Attention. 5301-5308 - Ivens Da Silva Portugal, Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan:
Towards a Graph-Based Agentic Workflow and Framework for Natural Language Directions. 5309-5313 - Gabriel Spadon, Ruixin Song, Vaishnav Vaidheeswaran, Md Mahbub Alam, Floris Goerlandt, Ronald Pelot:
Modeling Maritime Transportation Behavior Using AIS Trajectories and Markovian Processes in the Gulf of St. Lawrence. 5314-5323 - Beatriz Teixeira, Tania Tanzin Hoque, Paulo Amorim, Cátia Silva, Tiago Pinto, Hugo Paredes, Arsénio Reis, João Barroso:
High-Performance Computing for Supporting Electric Vehicle Integration into the Transport Industry. 5324-5333 - Phuoc-Loc Truong, Tuan-Thanh Ho, Huy T. Vo, Tien B. Dinh:
Efficient Map Matching for Low-Sampling-Rate Trajectories Using an Edge Frequency Matrix from Historical Data. 5334-5343 - Franziska Zimmer, Ryosuke Kobayashi, Rie Shigetomi Yamaguchi:
A One-Year Spatiotemporal AIS Analysis and Visualization of Vessel Behavior in the Persian Gulf and Gulf of Oman. 5344-5353 - Dominik Zurek, Wieslaw Dudek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber:
Fast and Efficient Integer Linear Programming Method for Aircraft Recovery Problem. 5354-5361 - Mahmut Aslan, Yekta Said Can, Efe Batur Giritli, Mehmet S. Aktas:
Balancing Recency and Order in Session Representations: A Temporal-Sequential Embedding Approach for Clickstream Analytics. 5362-5372 - Dharmendra Prajapat, Durga Toshniwal:
Scalable Task-Oriented Dialogue Systems with Mixture of Experts and Offline Reinforcement Learning. 5373-5381 - S. I. M. Adnan, Abrar Hameem, Shikha Anirban, Md. Saiful Islam, Md. Musfique Anwar:
Evaluation of Large Language Models for Understanding Counterfactual Reasoning in Texts. 5382-5389 - Javier Martín Arista, Darío Metola Rodríguez, Daniel B. Morris:
Enhanced Old English NER via Morphology-Aware Analysis, Cross-Germanic Transfer, and Domain-Specific Patterns. 5390-5399 - Anna Arnaudo, Riccardo Coppola, Maurizio Morisio, Antonio Vetrò, Maurizio Borghi, Bryan Khan, Riccardo Raso:
Copyright Infringement Issues and Mitigations in Data for Training Generative AI. 5400-5409 - Muskaan Chopra, Lorenz Sparrenberg, Sarthak Khanna, Rafet Sifa:
How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation. 5410-5417 - Tejaswani Dash, Dinesh Karri, Anudeep Vurity, Gautam Datla, Tazeem Ahmad, Saima Rafi, Rohith Tangudu:
Polypersona: Persona-Grounded LLM for Synthetic Survey Responses. 5418-5427 - Mo El-Haj, Paul Rayson:
AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs. 5428-5436 - Hossam Elsafty, Farizeh Aldabbas, Rafet Sifa:
Arabic OCR in the Age of Multimodal Models: A Comprehensive Comparative Evaluation. 5437-5442 - Xia Jiaju, Cao Lei:
IDR-RAG: An Iterative Draft-Revision Agent-Like RAG Pipeline for Efficient and Accurate Knowledge Retrieval in Large-Scale Private Domains. 5443-5451 - Konstantin Kubrak, Ahmed El-Moselhy, Ammar Alsulami, Remaz Altuwaim, Hassan Ismail Fawaz, Faisal Alsaby:
Arabic Prompts with English Tools: A Benchmark. 5452-5461 - Iñaki Lacunza, José Javier Saiz, Alexander Shvets, Aitor Gonzalez-Agirre, Marta Villegas:
XDoGE: Multilingual Data Reweighting to Enhance Language Inclusivity in LLMs. 5462-5471 - Hai Li, Wanli Xing, Chenglu Li, Bailing Lyu:
Tackling Low-Resource K-12 Hand-Drawn Mathematics VQA: Unified Regularization with Compute-Aware Expert Token Architecture. 5472-5481 - Javier Martín Arista, Darío Metola Rodríguez, Ana Elvira Ojanguren López:
Scaling Classical NLP Pipelines for Underresourced Old English: Character-Level Models, Unsupervised Pretraining, and Supervised Data Growth. 5482-5489 - Felipe Ribeiro Fujita de Mello, Hideyuki Takada:
Improving Translation Quality by Selecting Better Data for LLM Fine-Tuning: A Comparative Analysis. 5490-5499 - Giridhar Pamisetty, Subbareddy Batreddy, Priya Verma, Ch. Sobhan Babu:
UniFi-LLM: A Unified Large Language Model for Financial Data Generation and Fraud Prediction. 5500-5506 - Haomin Qi, Chengbo Huang, Zihan Dai, Yunkai Gao:
Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models. 5507-5516 - Soham Ratnaparkhi, Saeed Samet:
Fine-Tuning Large-Language-Models using Federated Learning & Blockchain. 5517-5526 - Phong Tran Thanh, Phuc Nguyen Le Bao, Trong-Nghia To, Van-Hau Pham, Phan The Duy:
Leveraging LLM Agents for Autonomous Web Penetration Testing Targeting SQL Injection Vulnerability. 5527-5534 - Anh Kiet Nguyen Truong:
Temporal-Aware RAG for Multilingual ESG Document Retrieval: A Low-Resource Approach to Time-Sensitive Question Answering. 5535-5542 - Justin Ebby Varghese, Yi Shang:
Benchmarking LLM Optimization Strategies for Clinical NER: A Comparative Analysis of DSPy GEPA Against Domain-Specific Transformers. 5543-5552 - Yiqun Wang, Chaoqun Wan, Xiang Tian, Xuesong Liu, Yaowu Chen:
Targeted Knowledge Enhancement: A Systematic Continual Pre-Training Approach for Effective Domain Adaptation. 5553-5562 - Wooseong Yang, Chen Wang, Zihe Song, Weizhi Zhang, Philip S. Yu:
Cluster-Aware Item Prompt Learning for Session-Based Recommendation. 5563-5572 - Yuan An, Ruhma Hashmi, Michelle Rogers, Jane Greenberg, Brian K. Smith:
Rate-Distortion Guided Knowledge Graph Construction from Lecture Notes Using Gromov-Wasserstein Optimal Transport. 5573-5582 - Moritz Busch, Giuliana Defilippis, Philipp Weiß, Christian Beecks, Stefan Decker, Diego Collarana:
GRAFT - Graph Retrieval Augmented Generation Fine-Tuning Approach. 5583-5592 - Bara Diop, Cheikh Talibouya Diop, Lamine Diop:
One-Class Outlier Detection of Label-Induced Ambiguity in Knowledge Graphs. 5593-5602 - Hieu Minh Duong, Long Nguyen, Eugene Levin, Todd Gary:
CaST: Causal Discovery via Spatio-Temporal Graphs in Disaster Tweets. 5603-5612 - Xinyi Fang, Kyumin Lee, Yichuan Li:
LLM Profiling and Fine-Tuning with Limited Neighbor Information for Node Classification on Text-Attributed Graphs. 5613-5622 - Jugal Gajjar, Kaustik Ranaware, Kamalasankari Subramaniakuppusamy, Vaibhav C. Gandhi:
HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddings. 5623-5631 - Bedirhan Gergin, Charalampos Chelmis:
Retrieval-Reranker: A Two-Stage Pipeline for Knowledge Graph Completion. 5632-5641 - Alexander Graß, Jonathan Lehmkuhl, Diego Collarana, Stefan Decker, Christian Beecks:
Code2Onto: Multi-Agent System for Code-Driven Ontology Population. 5642-5651 - Yi-Mo Ho, Wei-Pin Ku, Pei-Yu Hou:
LiteKG: A Lightweight LLM-Assisted Framework for Domain-Specific Knowledge Graph Construction. 5652-5661 - Asma Houimli, Zaineb Gabsi, Sabri Skhiri:
Evaluation of GraphRAG Strategies for Efficient Information Retrieval. 5662-5670 - Kehan Hu:
Learning Recommendation under an Identical-Pool Protocol: Top-K Ranking on Skill Graphs with Fair, Reproducible Evaluation. 5671-5678 - Shenghao Huang, Yoshihide Kato, Shigeki Matsubara:
A Commonsense Knowledge Graph for Representing Exceptions Concerning Extrinsic Factors. 5679-5688 - Maryam Mubarak, Hanqi Chen, Nahed Abu Zaid, Kara Schatz, Rada Chirkova:
Bridging Semantic Gaps in Federated Knowledge Graphs with Context-Enriched Synonym Detection. 5689-5698 - Dorsaf Sellami, Wissem Inoubli, Imed Riadh Farah, Sabeur Aridhi:
SA-KGP: A Semantic-Aware Partitioning Method for Scalable Knowledge Graph Embedding. 5699-5708 - Manil Shrestha, Edward Kim:
Efficient Multi-Hop Question Answering Over Knowledge Graphs via LLM Planning and Embedding-Guided Search. 5709-5718 - Nhan Vo, Nhat Truong, Tuan Bui, An Nguyen, Khang Huynh, Tho Quan, Thang Bui:
Enhancing Link Prediction with Attentive-HINGE: A Vietnamese Case Study in Educational Knowledge Graphs. 5719-5726 - Nahed Abu Zaid, Kara Schatz, Zhuocheng Mei, Rada Chirkova:
AMSP-KG: Automated Mapping of Sentences to Paths in Knowledge Graphs. 5727-5736 - Nahed Abu Zaid, Kara Schatz, Deepak Sai Pendyala, Alexey V. Gulyuk, Yaroslava G. Yingling, Rada Chirkova:
RL-CURATE-KG: Multi-Agent Reinforcement Learning for Scalable Knowledge Graph Curation. 5737-5746 - Jin Zhang, Huiling Liu, Wengen LI, Jianquan Wen, Yuan Zhao, Jianing Chen, Jian Liu, Chengkun Wu:
DTRAG: Triple-Fusion Retrieval-Augmented Generation Leveraging a Knowledge Graph for Answering Diabetes Questions. 5747-5755 - Fengchen Gu, Huijia Wang, Zhengyong Jiang, Angel F. García-Fernández, Jionglong Su, Huakang Li:
Mixture-of-Experts Liquid Financial Mamba Framework for Portfolio Management Based on Deep Reinforcement Learning. 5756-5764 - Atushi Ishikawa, Shouji Fujimoto, Takayuki Mizuno:
A Universal Scaling Law in Animal Movement: Quantifying Emergent System Properties from Big Data. 5765-5772 - Han Kyul Kim, Ankur Garg, Hansea Kim, Eunjeong Joo, Andy Skumanich:
Whose Line is it Anyway? Linguistic Attribution of Misinformation from Mainstream and Fringe LLMs. 5773-5781 - Takayuki Mizuno:
Architecture for Deliberative Reasoning (ADR): A Computational Model of Facilitated Dialogue for Societal Questions. 5782-5789 - Tomohiro Murakami, Mitsuo Yoshida:
The Circulate and Recapture Dynamic of Fan Mobility in Agency-Affiliated VTuber Networks. 5790-5799 - Saneyuki Okabe, Taisei Enomoto, Mamoru Komachi, Atsushi Keyaki:
Investigating the Impact of Japanese Names and Japanese Prompts on Social Bias in Hiring Decisions Using LLMs. 5800-5809 - Hibiki Sumioku, Yuya Shibuya:
When the Crowd Agrees(or Not): Topic Effects and Reason Distributions in X's Community Notes. 5810-5819 - Kanata Takahashi, Yuuki Nishiyama, Yuya Shibuya:
Daily Emotional States Improve Predictions of Human Mobility Diversity. 5820-5826 - Keitaro Takayanagi, Shiori Hironaka, Kazuyuki Shudo:
Measuring Geographic Preferences in Social Networks Beyond Population Bias. 5827-5834 - Koutarou Tamura:
Dual-Input Settlement Prediction with Word-Pair SHAP: Financial ADR Cases. 5835-5841 - Antonela Tommasel, Juan Manuel Rodriguez:
SpanishTweetsCOVID-19: A Social Media Enriched Covid-19 Twitter Spanish Dataset. 5842-5851 - Keito Uehara, Taichi Murayama:
Impression Zombies: Characteristics Analysis and Classification of New Harmful Accounts on Social Media. 5852-5859 - Zhichao Wang, Zeyu Lyu:
The Impact of Regional Economic Conditions on Bidding Strategies in Online Labor Markets. 5860-5867 - Qiao Wang, Liang Liu, Mitsuo Yoshida:
Understanding Toxic Interaction Across User and Video Clusters in Social Video Platforms. 5868-5875 - Qianyun Wu, Yukie Sano, Hideki Takayasu, Misako Takayasu:
Linking Opinion Dynamics and Emotional Expression in Online Communities: a Case Study of Covid-19 Vaccination Discourse in Japan. 5876-5883 - Hiroyasu Ando, Ryunosuke Fukuzaki, Morimitsu Kurino, Naoko Matsuda, Takahiro Noguchi:
Passenger Trust and Driver Workload Evaluation via Heart Rate Variability in Bus Services. 5884-5893 - Takako Hashimoto, Tetsuji Kuboyama, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Takeaki Uno:
AI-Enhanced Two-Stage Clustering for COVID-19 Vaccine Discourse Analysis: Multi-Faceted Public Reaction Assessment. 5894-5903 - Yoichi Izunaga, Satoshi Takahashi, Naoki Watanabe:
Numbers of Bids Placed Under Approximate DGS Algorithms with Different Tie-Breaking Rules: A Subject Experiment of Multi-Item Auctions. 5904-5913 - Yuta Kitagawa, Eizo Akiyama:
Influence of Agent Social and Network Segregation on Fake News Diffusion. 5914-5921 - Takuya Nagura, Eizo Akiyama:
Effects of a "Topic Diversification System" Facilitating Diverse Topic Exposure on Topic Interest and Social Media Engage Behavior. 5922-5929 - Lorenz Sparrenberg, Tobias Schneider, Tobias Deußer, Armin Berger, Rafet Sifa:
Towards Uncertainty-Aware Low-Bit Quantized LLMs for On-Device Inference. 5930-5939 - Jia-Hao Syu, Yuh-Dauh Lyuu:
Trapezoidal Frustum and Angle Bracket for the Maximum Drawdown. 5940-5946 - Shunta Yoshimura, Tomoya Kawasaki, Ayato Kitadai, Nariaki Nishino:
Profitability of Slow Steaming Under Vessel Offshore Waiting Conditions. 5947-5953 - Thiago Henrique Bragato Barros, Rafael Rodrigo do Carmo Batista, Frances Ryan, Maurício Coelho da Silva, David Haynes:
Ontologies Applied to Archival Records: a Preliminary Proposal for Information Retrieval. 5954-5959 - Jessica Bushey, Nicholas Rivard, Michel Barbeau:
Cryptographic Provenance and AI-Generated Images. 5960-5967 - Daniel F. Fonner:
Algorithm Auditing for Reliable AI Authenticity Assessment of Digitized Archival Objects. 5968-5974 - Aditya Jadhav, Bipasha Banerjee, Jennifer Goyne:
Using an Ensemble Approach for Layout Detection and Extraction from Historical Newspapers. 5975-5984 - Shadrack Katuu:
Systems Thinking, Management Standards and the Quest for Records and Archives Management Relevance. 5985-5994 - Hajra Klair, Fausto German, Amr Ahmed Aboelnaga, Bipasha Banerjee, Hoda Eldardiry, William A. Ingram:
Retrieval-Augmented LLMs for ETD Subject Classification. 5995-6004 - Jiho Lee, Jaehyung Jeong, Victoria Lemieux, Tim Weingärtner, Jaeseung Song:
Blockchain and Responsible AI: Enhancing Transparency, Privacy, and Accountability Through Blockchain Hackathon. 6005-6010 - Basma Makhlouf Shabou, Lamia Friha, Wassila Ramli:
Developping a Smart Archival Assistant with Conversational Features and Linguistic Abilities: The Ask_ArchiLab Initiative. 6011-6017 - Joel Pepper, Zach Siapano, Jacob Furst, Fernando J. Uribe-Romo, David E. Breen, Jane Greenberg:
From Analog Records to Computational Research Data: Building the AI-Ready Lab Notebook. 6018-6023 - Josepa Raventós-Pajares, Joan-Andreu Sánchez, Enrique Vidal:
PARDES: Automatic Generation of Descriptive Terms for Logical Units in Historical Handwritten Collections. 6024-6028 - Jim Suderman, Frédéric Simard, Nicholas Rivard, Iori Khuhro, Erin Gilmore, Michel Barbeau, Darra Hofman, Mario Beauchamp:
Operationalizing Context: Contextual Integrity, Archival Diplomatics, and Knowledge Graphs. 6029-6037 - Jussara Teixeira, Juliana Almeida, Tânia Gava, Raphael Lugon Campo Dall'Orto, José Márcio Moraes Dorigueto:
Classification of Paper-Based Archival Records Using Neural Networks. 6038-6043 - Kenneth Thibodeau, Alex Richmond, Mario Beauchamp:
Archival Research Theory: Putting Smart Technology to Work for Researchers. 6044-6051 - William Underwood, Joan Gage:
Can GPT-4 Think Computationally About Digital Archival Practices? - Part 3. 6052-6061 - Qihong Zhou, Binming Li, Victoria Lemieux:
Index-Aware Knowledge Grounding of Retrieval-Augmented Generation in Conversational Search for Archival Diplomatics. 6062-6069 - Niraj Dineshkumar Bhagchandani, Sanjay Kumar Singh, Rajiv Misra:
Machine Learning for Predicting Clinical Outcomes of Metformin Dosage on Patient Health. 6070-6077 - Aswini Ghosh, Rajiv Misra:
Minimizing Inequality in Urban Water: ST-GNN Forecasting and Differentiable Optimization. 6078-6086 - Priyadarshni, Shivani Tripathi, Kaushik Saha, Praveen Kumar, Rajiv Misra:
Optimizing Service Allocation in Mobile Edge Computing with Genetic Algorithm. 6087-6091 - Vaneet Kour, Sudhir Kumar, Shubham Sahu, Rajiv Misra:
FedEnergy: Federated Learning for Energy Consumption Forecasting on Smart Meters using Hybrid TCN-Transformer Model. 6092-6101 - Shiom Kumar, Manoj K. Chauhan, Priyadarshni, Shivani Tripathi, Rajiv Misra, T. N. Singh:
Predicting Cloud Workload Job Arrival Rates Using a Diffusion Autoformer Model. 6102-6107 - Praveen Kumar, Yasir Waseem, Anubhav Kumar, Priyadarshni, Rajiv Misra:
Skin Cancer Detection and Classification Using Swin Transformer and YOLOv8. 6108-6113 - Praveen Kumar, Yasir Waseem, Anubhav Kumar, Priyadarshni, Rajiv Misra:
Efficient Resource Allocation Prediction for B5G Network Slicing Using Attention Based LSTM-DDPG. 6114-6123 - Sudhir Kumar, Vaneet Kour, Shubham Sahu, Vaishnavi Choudha, Rajiv Misra:
Optimizing Power-Accuracy Tradeoff in Air Pollution Forecasting for Edge-Based Quantized Models. 6124-6132 - Priyanya Kumari, Shreya Yadav, Rajiv Misra:
Post-Quantum Secure Peer-to-Peer VPN Protocol. 6133-6140 - Pradeep Kumar Lodhi, Rajiv Misra, Rahul Mishra:
HiResGAN-Climate: Conditional Physics-Aware Generative Adversarial Networks for High-Resolution Climate Scenario Generation and Downscaling. 6141-6149 - Ravi Kumar Mishra:
Fine Tuning a Multilingual Translation Model for Financial Crime Data. 6150-6153 - Rajiv Misra, Kuntal Majumder:
Quantum-Driven Logistics: Building Sustainable and Efficient Supply Chain. 6154-6162 - Udit Narayan, Priyadarshni, Praveen Kumar, Shivani Tripathi, Rajiv Misra:
CEC-DuelNet: Relational Deep Reinforcement Learning for Coded Edge Computing Offloading. 6163-6166 - Magesh Rajasekaran, Md Saiful Islam Sajol, Chris Alvin, Supratik Mukhopadhyay, Yanda Ou, Z. George Xue:
Benchmarking Artificial Intelligence Models for Daily Coastal Hypoxia Forecasting. 6167-6176 - Nimisha Sinha, Shivank Gupta, Vaneet Kour, Mukul Misra, Rajiv Misra:
Insight Lens: Multi-View Summarization via Retrieval-Augmented Generation for Hallucination Reduction. 6177-6186 - Prashant Srivastava, Rajiv Misra, Amit Kumar Verma:
A Comparative Analysis of State-of-the-Art Text-to-3D Generation Models: Evaluation Framework and Performance Benchmarking. 6187-6191 - Nagbhushan R. Subbapurmath, Rajiv Misra, Pradeepika Verma:
Comprehensive Survey of Big Data Analytics with Generative AI for Climate Change. 6192-6201 - Shivani Tripathi, Shiom Kumar, Manoj K. Chauhan, Priyadarshni, Rajiv Misra, T. N. Singh:
Neuro-Symbolic Ensemble Architecture (NSEA) for Adaptive Workload Prediction in Containerized Cloud Environments. 6202-6209 - Chandrasekar Vuppalapati, Anitha Ilapakurti, Shruti Vuppalapati, Sharat Kedari, Santosh Kedari, Jaya Vuppalapati:
Edge AI and IoT-Driven SLMs: Enabling Multilingual Access and Sustainable Futures for Small and Subsistence Farmers. 6210-6219 - Ayush Bajracharya, Yannick Toussaint, Sabeur Aridhi:
Comparative Analysis of Multimodal Fusion Techniques for Clinical Severity Classification. 6220-6227 - Haixi Cheng, Chaoqun Hong, Bo Zhang, Yongfeng Chen:
DBGF: Dual-Attention and Bi-Cross with Gated Fusion for Multi-Modal Glaucoma Grading. 6228-6234 - Ao Deng, Wufan Wang, Bo Zhang, Xirong Que, Wendong Wang:
SwinPose: A Unified Spatio-Temporal Transformer Network for Video-Based Human Pose Estimation. 6235-6240 - Songwen Pei, Yunfeng Chen, Kai Cong, Xing Jia:
MEVLERG: Medical Vision-Language Encoder for Report Generation. 6241-6247 - Qiujie Zhang, Wufan Wang, Bo Zhang, Zheng Zhang, Xirong Que, Wendong Wang:
A Lightweight Real-Time Framework for Skeleton-Based Action Recognition on Mobile Devices. 6248-6254 - Boyi Zhang, Chenwei Yan, Yan Gao, Xiangling Fu, Yu Wu, Xiaohua Wang:
Evaluation of Deep Learning Models for Automatic MRI Segmentation of Borderline Ovarian Tumors. 6255-6260 - Suzhen Cao, Lei Han, Guorui Liu, Tianhao Zhang, Xuan Zhang, Xiaodong Yang:
A Privacy Set Intersection Protocol for Medical Data Security Sharing. 6261-6269 - Yanzhuo Li, Leilei Yu, Jiasheng Yuan, Yunghsiang S. Han:
Erasure-Coded Consistent Hashing for Distributed Storage. 6270-6278 - Jianming Lin, Hui Li, Min Wang, Niansheng Tang, Wenhui Hu, Bing Lin, Runhuai Huang, Ximing Xu, Shengyao Wu, Ying Li:
A Trustworthy and Traceable Identity Authentication Framework Leveraging Zero-Knowledge Proofs. 6279-6287 - Zhen Ren, Haihan Duan, Hengming Dai, Xiaoyi Fan, Cong Zhang, Xiping Hu:
Blockchain-Enabled Market Clearing Mechanism for Peer-to-Peer Energy Storage Sharing. 6288-6297 - Yongxin Song, Hui Li, Pin-Han Ho, Min Wang, Zehua Wang, Yimin Yun, Shaowen Deng:
A High-Throughput Blockchain System for Stablecoins via Parallelizing Consensus and Execution. 6298-6307 - Shibiao Tan, Hui Li, Jianming Liu, Jucheng Yang, Pin-Han Ho, Zehua Wang, Runhuai Huang, Bing Lin, Yanping Zhang, Tao Zhang:
A Traceable, Secure, Hierarchical, and Fine-Grained Redactable Blockchain for Multi-Identifier System. 6308-6317 - Xiaoyan Zhou, Sichun Luo, Linqi Song, Hanxu Hou:
A Cross-Modal Information Retrieval Framework Based on an Interactive Encoder and Re-Ranking Algorithm. 6318-6324 - Vinícius Alboneti Aguiar, Leonardo Afonso Amorim, Artur Matos Andrade Novais, Thiago Pedroso de Jesus, Anderson da Silva Soares, Sávio Salvarino Teles de Oliveira:
A Multi-Agent Architecture for Governance and Security of LLM-Based Knowledge Access. 6325-6334 - Raghav Gupta, Mohan Reddy, Yuri Yerastov:
A Workforce Agent for Labor Market Question and Answering. 6335-6342 - Dingwei Liu, Yan Wang, Yuxuan Tian, Zhiqiang Zeng, Su Liu, Weipeng Zheng, Yufeng Xiao:
MixCoT-SQL: A User-Adaptive Text-to-SQL Framework Based on Mixed Chain-of-Thought and Result Reflection Refinement. 6343-6352 - Mehwish Nasim, Syed Muslim M. Gilani, Amin Qasmi, Usman Naseem:
Simulating Influence Dynamics with LLM Agents. 6353-6356 - Amin Qasmi, Usman Naseem, Mehwish Nasim:
Competing LLM Agents in a Non-Cooperative Game of Opinion Polarisation. 6357-6366 - Linying Su, Bin Zhu, Shouqiang Liu:
AdaptiCare-RL: Adaptive Multi-Agent Collaborative Counseling Dialogues Regulated by Reinforcement Learning. 6377-6386 - Surendrabikram Thapa, Kritesh Rauniyar, Shuvam Shiwakoti, Surabhi Adhikari, Junaid Rashid, Jungeun Kim, Usman Naseem:
Agentic AI Framework for Low-Resource Essay Evaluation via Scoring, Explanation, and Debate. 6387-6394 - Chaopeng Wang, Yi Sun, Chao Wang, Bo Wang, Shujie Yang, Zan Zhou, Yujiao Yuan, Lin Jia, Xu Xiang, Fei Xiao:
KeBugFix: Automated Program Repair Framework Based on Code Retrieval Enhancement and LLM Agent. 6395-6402 - Ajay Yadav, Mohammad Luqman, Akshar Prabhu Desai, Himaanshu Gauba, Pranjul Yadav:
Multi Modal and Self Learning Agents in Finance. 6403-6410 - Veronica Cretì, Chiara Rucco, Alessandro Stefano, Francesca Zampino, Motaz Saad, Antonella Longo, Alè Aghazadeh Ardebili:
Multi-Agent Intelligence for e-Tourism: Lecce use Case and Enabling Digital Twins. 6411-6420 - Andrei I Hirata, Ronaldo C. M. Correia, Rodolfo I Meneguette:
Smartcitysystem: A Digital Twin Platform with Virtual Sensors for Urban Mobility Analysis. 6421-6425 - Alexandros S. Kalafatelis, Vasileios Nikolakakis, Nikolaos Tsoulakos, Panagiotis Trakadas:
Privacy-Preserving Hierarchical Federated Learning Over Data Spaces. 6426-6435 - Youngjoon Lee, Taehyun Park, Yunho Lee, Jinu Gong, Joonhyuk Kang:
Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation. 6436-6440 - Sara Dana Kabl Talabani, Angelo Martella, Antonella Longo, Marco Zappatore, Francesco Piccialli:
Deployment Benchmarking of a Federated YOLOv12s Model Across Heterogeneous Edge Devices. 6441-6450 - Manav Bhasin, Faranak Abri, Jade Webb, William Andreopoulos:
Real-Time Adaptive Topic Modeling Framework for Identifying Social Engineering Attacks. 6451-6460 - Akhila Kambhatla, Taminul Islam, Khaled R. Ahmed:
ArmFormer: Lightweight Transformer Architecture for Real-Time Multi-Class Weapon Segmentation and Classification. 6461-6469 - Donghun Lee, June Moh Goo:
Early Detection of Disaster Events in Tweet Streams via NLP-Based Distributional Shift Analysis Using Conformal Predictors and Martingale Theory. 6470-6478 - Elijah Shannon, Chaity Banerjee:
Localizing AI Image Manipulations by Learning Generative Noise Signatures Using Diffusion Based Noise Priors. 6479-6488 - Farhaan Syed, Abhi Chatterjee, Moitrayee Chatterjee, Xiwang Guo:
AI Blinks, Chaos Winks: Adversarial Vulnerability of Object Detection in High-Density Urban Mobility Scenarios. 6489-6494 - Anastasiia Voitenko, Mourad Oussalah:
Adversarial-Based Image Encryption for Privacy Preservation: Integrating FGSM, GANs, and Chaotic Cryptography for Secure Deep Learning. 6495-6503 - Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas:
A Systematic Comparison of Statistical and Neural Frameworks for Spanish POS Tagging. 6500-6508 - Haoyang Wang, Wei Hu, Yue Quan, Dejun Mu:
Private Spatial Range Queries Over Outsourced Data: A Survey. 6504-6513 - Ermis Arvanitis, Georgios Drakopoulos, Leonidas Theodorakopoulos, Spyros Sioutas, Phivos Mylonas:
Extractive Document Summarization with Graph Neural Networks and Topic Modeling in PyTorch. 6514-6520 - Georgios Drakopoulos, Leonidas Theodorakopoulos, Spyros Sioutas, Phivos Mylonas:
Functional Programming Meets Pinecone: Recommending Graph Structured Documents. 6521-6526 - Ioannis Karamitsos, Theofanis Aravanis, Andreas Kanavos:
From Reviews to Representations: Integrated Big Data Analytics on Amazon Product Metadata. 6527-6534 - Zhaochen Li, Huaxia Wang, Anfa Zhang, Zhiyong Yan, Runhuai Huang:
APSys: Disaggregated LLM Serving System with an Adaptive Parallel Strategy. 6535-6544 - Stavros Theofanis Miloulis, Ioannis Kakkos, Christina Kaliampakou, Ioannis Zorzos, Georgios N. Dimitrakopoulos, Ioannis A. Vezakis, Ioannis N. Kouris, Athanasios Anastasiou, George K. Matsopoulos:
Feature-Level Explainability in EEG-Based Fatigue Detection Using LASSO and Functional Connectivity. 6545-6551 - Nikolaos Roufas, Athanasios Kanavos, Ioannis Karamitsos, Khalil Al-Hussaeni, Manolis Maragoudakis:
Do Deeper Layers Explain Better? An LID-Based Study of Transformer Explainability. 6552-6559 - Kanchon Gharami, Quazi Sarwar Muhtaseem, Deepti Gupta, Lavanya Elluri, Shafika Showkat Moni:
Modeling Romanized Hindi and Bengali: Dataset Creation and Multilingual LLM Integration. 6569-6576 - Seif Ikbarieh, Kshitiz Aryal, Maanak Gupta:
RAG-Targeted Adversarial Attack on LLM-Based Threat Detection and Mitigation Framework. 6577-6586 - Suyash Kalwani, Md Badrul Hasan, Zhiyuan Chen, Meilin Yu:
Physics-Informed Machine Learning for Detecting Stealthy Long-Term Cyber Attacks on Wind Energy Systems. 6587-6596 - Mayank Kapadia, Tanya Yadav, Aditya Tekale, Kevin Gao, Nandhakumar Apparsamy, Matthew Leffler, Jeff Chong, Shih-Yu Chang:
Building a Robust and Explainable IDS Using ML Techniques. 6597-6605 - Wenhao Li, Selvakumar Manickam, Yung-Wey Chong, Shankar Karuppayah:
PhishDebate: An LLM-Based Multi-Agent Framework for Phishing Website Detection. 6606-6615 - Damodar Panigrahi, Raj Patel, Shaswata Mitra, Sudip Mittal, Shahram Rahimi:
IRSDA: An Agent-Orchestrated Framework for Enterprise Intrusion Response. 6616-6625 - Sai Sitharaman, Hassan Karim, Deepti Gupta, Mudit Tyagi:
Scalable Privilege Analysis for Multi-Cloud Big Data Platforms: A Hypergraph Approach. 6626-6633 - Javed Tamboli, Karuna Pande Joshi, Ommo Clark:
Security Compliance for Smart Manufacturing Using Knowledgegraph Based Digital Twin. 6634-6643 - Mohamed Afane, Abhishek Satyam, Ke Chen, Tao Li, Junaid Farooq, Juntao Chen:
SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models. 6644-6652 - Sandra García-Ponsoda, Javier Sanchis, Juan Trujillo, Alejandro Maté, Miguel A. Teruel:
A Clinical Data Lake for ADHD Research: Architecture, Integration, and Early Outcomes. 6653-6658 - Hongtao Xie, Shengxin Zhu:
MambaGuard-MOO: Multi-Objective Safe Drug Recommendation with Contrastive Learning. 6659-6666 - Venkata Kadiyala, Md. Saiful Islam, M. A. Hakim Newton:
An Experimental Evaluation of Mixup Ensemble Meta-Classifiers for Improving GNN-Based Node Classification. 6667-6675 - Syed Ahmed Taimoor, Shruti Shivakumar, Xiaorui Liu, Ramakrishnan Kannan, Jiajia Li:
Scalable and Efficient Tensor Message-Passing Hypergraph Neural Networks. 6676-6680 - Eldar Jalilzade, Maksim Kalameyets, Shrikant Malviya, Rebecca Owens, Stamos Katsigiannis, Ben Farrand, Lei Shi:
Mapping Discrimination in LLM-Driven HR Systems. 6681-6690 - Yuzhou Jiang, Liang Wang, Yuwei Lou, Xianping Tao, Hao Hu:
Multi-Agent Debate for Content Moderation with Dynamic Group Arbitration. 6691-6698 - Mahdi Naser-Moghadasi, Faezeh Ghaderi:
Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models. 6699-6706 - Mahdi Naser-Moghadasi, Faezeh Ghaderi:
Neural Activation Patterns Across Language Model Architectures: A Comprehensive Analysis of Cognitive Task Performance. 6707-6712 - Milad Olad, Ehsan Khaksar, Robert F. Lytle, Ryan Hilimoniuk, Maryam Ghanbari, Leila Tahmooresnejad, Anteneh Ayanso:
Enhanced ESG Data Processing Using Retrieval-Augmented AI. 6713-6721 - André-Louis Rochet, Matis Despujols, Léo Appourchaux, Noé Brandolini, David Soeiro-Vuong, Paul Lemaistre, Gérard Réus, Bikram Pratim Bhuyan:
CU-1: A Class-Agnostic Detection Transformer Bridging Large Language Models and Big Data Interface Understanding. 6722-6731 - Sampurna Roy, Ayan Sar, Anurag Kaushish, Kanav Gupta, Tanupriya Choudhury, Abhijit Kumar:
Dynamic Reasoning Chains Through Depth-Specialized Mixture-of-Experts in Transformer Architectures. 6732-6742 - Ayan Sar, Pranav Singh Puri, Sumit Aich, Tanupriya Choudhury, Abhijit Kumar:
SwasthLLM: A Unified Cross-Lingual, Multi-Task, and Meta-Learning Zero-Shot Framework for Medical Diagnosis Using Contrastive Representations. 6743-6752 - Ayan Sar, Sampurna Roy, Kanav Gupta, Anurag Kaushish, Tanupriya Choudhury, Abhijit Kumar:
Hierarchical Resolution Transformers: A Wavelet-Inspired Architecture for Multi-Scale Language Understanding. 6753-6762 - Ashutosh Sharma, Amit Sharma:
Graph Neural Network (GNN) and its Application: A State-of-the-Art Survey. 6763-6772 - Kemalcan Bora:
NutriLite: Balancing Accuracy and Efficiency in Food Nutrient Estimation with Small Language Models. 6773-6779 - Jan Drole, Ana Gjorgjevikj, Barbara Korousic-Seljak, Tome Eftimov:
Beyond Fine-Tuning: Robust Food Entity Linking Under Ontology Drift with FoodOntoRAG. 6780-6789 - Denica Kjorvezir, Danilo Najkov, Eva Valencic, Erika Jesenko, Barbara Korousic-Seljak, Tome Eftimov, Riste Stojanov:
Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation. 6790-6799 - Yihang Lu, Carola Doerr, Mathieu Sebilo:
From Binary to Multiclass Logistic Regression for Wine Origin: A Correlation- and Cost-Aware Study in Portugal and Chile. 6800-6807 - Dimitar Peshevski, Darko Sasanski, Riste Stojanov, Dimitar Trajanov:
Preserving Macedonian Culinary Heritage: Fine-Tuning a Large Language Model for Recipe Generation in a Low-Resource Language. 6808-6813 - Darko Sasanski, Dimitar Peshevski, Riste Stojanov, Dimitar Trajanov:
Building a Macedonian Recipe Dataset: Collection, Parsing, and Comparative Analysis. 6814-6822 - Svetlana Schmidt, Linda Klasen, Ute Nöthlings, Rafet Sifa:
Towards Automated Recipe Reconstruction: Optimization of Dietary Data Collection using Information Retrieval, Large Language Models and Mathematical Optimization. 6823-6832 - Maks Pozarnik Vavken, Matevz Ogrinc, Tome Eftimov, Barbara Korousic-Seljak:
Evaluation of LLMs in Retrieving Food and Nutritional Context for RAG Systems. 6833-6838 - Chen-Wei Chang, Shailik Sarkar, Hossein Salemi, Hyungmin Kim, Shutonu Mitra, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu:
Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks. 6839-6846 - Pedro Henrique Silva Gontijo, Robson de Oliveira Albuquerque, João José Costa Gondim:
Operationalizing Structured Direction and Planning for Cyber Threat Intelligence: A Practical Implementation for the Brazilian Financial System. 6847-6852 - Tjielke Nabuurs, Cristoffer Leite, Indika Kumara, Roya Nasiri, Matthijs Vos, Justin Hende:
An Empirical Investigation of Ransomware Encryption Techniques and Forensic Evidence Availability. 6853-6862 - Arttu Paju, Waris Abdullah, Juha Nurmi:
Measuring Onion Website Discovery and Tor Users' Interests with Honeypots. 6863-6872 - Diogo Rio, Krishna Teja Atluri, Giuseppe Cascavilla, Jessica De Pascale:
Uncovering the Darknet: A Hybrid Intelligence Framework for Drug Market Surveillance. 6873-6882 - Francesco Saccone, Alessandro Manzi, Andrea Di Sorbo, Elisa Costante, Corrado Aaron Visaggio:
Design and Implementation of a Multi-Agent Threat Intelligence Assistant Based on Generative AI. 6883-6888 - Qizhao Chen, Hiroaki Kawashima:
Stock Price Forecasting with Sentiment of Related Entities Via Graph-Based Community Detection. 6889-6897 - ZhiJun Chen, XiaoYan Gu, Hao Yang, Yi Yang:
Chinese NER for UAV Fault Texts via Local-Global Joint Modeling and Diffusion-Based Semantic Denoising. 6898-6905 - Shuying Liu, Bowei Chen, Cathy Yi-Hsuan Chen, Yu Zheng, Jun Wang:
MultiNFT: A Multimodal Dataset for Non-Fungible Tokens Market Analysis. 6906-6913 - U. Hou Lok, Zheng-Liang Lu, Jia-Hao Syu:
Forecasting Option-Implied Dynamics with Google TimesFM: From Model to Market. 6914-6919 - Pengyue Ma, Zihang Zeng, Ziqian Lu, Raymond S. T. Lee:
LORSTransformerDRL: A Novel Deep Reinforcement Learning Framework for Intelligent Stock Trading with Chaotic Oscillators and Attention Mechanisms. 6920-6929 - Xiaolong Wang, Hui Bu:
Bank Customer Repurchase Prediction: A Novel Weighted LightGBM. 6930-6938 - Xuefei Wu, Wei Shang, Lei Cao:
Incorporating Market Risk Perception in Copper Commodity Price Forecasting. 6939-6947 - Xiaojia Zhu, Xingfen Wang, Huiying Du:
A Multimodal Agent for Stock Price Trend Forecasting. 6948-6955 - Hongguang Chen, Yin Chen:
STMN4SR: Spectral-Temporal Mamba Network for Sequential Recommendation. 6956-6965 - Alex Kaplunovich:
Optimizing Agentic Code Generation: Cost Efficiency, Observability and Orchestration. 6966-6971 - Juan Ren, Mark Dras, Usman Naseem:
Agentic Moderation: Multi-Agent Design for Safer Vision-Language Models. 6967-6976 - Oluwatobiloba Odunsi, Aravind Mohan, Seraj Al Mahmud Mostafa, Jianwu Wang:
CloudBot: Autonomous End-to-End Cloud Deployment from Code to Infrastructure. 6972-6981 - Zhenlian Qi, Junyu Ren, Wensheng Gan, Philip S. Yu:
Large Language Models for Fault Diagnosis. 6982-6991 - Lilian Rage, Youri Lalain, Mathis Escriva, Martial Roberge, Paul Lemaistre, André-Louis Rochet, Gérard Réus, Bikram Pratim Bhuyan:
Geometric Model Merging for Efficient and Scalable Adaptation of Large Language Models. 6992-7001 - Animesh Raj, Zayed Haque, K. Shantha Kumari, P. Kanmani, Raghava Rao Mukkamala:
Quantifying and Mitigating Occupational Bias in Open-Source Large Language Models. 7002-7011 - Eren Caglar, Amirkia Rafiei Oskooei, Mehmet Kutanoglu, Mustafa Keles, Mehmet S. Aktas:
Asynchronous Pipeline Parallelism for Real-Time Multilingual Lip Synchronization in Video Communication Systems. 7012-7020 - Ruisi Li, Ren Wei Ou, Zhiyou Zhuang:
EdgeAMRNet: Lightweight Automatic Modulation Recognition for OFDM-Based IoT Communications. 7021-7026 - Saeid Sheikhi, Panos Kostakos, Lauri Lovén:
Cognitive SOC: Evidence-Backed Narrative Generation for Security Operations with Multi-Agent LLM Architecture. 7027-7036 - Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu:
Identification of Hypersynchronization and Reduced Control Efficiency in Dementia Using EEG Derived Brain Functional Networks. 7037-7044 - Muskaan Chopra, Lorenz Sparrenberg, Armin Berger, Sarthak Khanna, Jan H. Terheyden, Rafet Sifa:
From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening. 7045-7054 - Li-Yen Alyssa Chou, Md Majedul Islam, Selena He:
Quantum Convolutional Neural Networks in Injury Detection of 3D Computed Tomography Volumes. 7055-7063 - Stefano Cirillo, Vincenzo Deufemia, Luigi Di Biasi, Giuseppe Polese, Giandomenico Solimando, Genoveffa Tortora:
CADHE: Privacy-Preserving Medical Image Analysis Through Homomorphic Encrypted Convolutional Networks. 7064-7072 - Ryan Marinelli, Markus Lammle, Robert Andrew Chetwyn:
Position Paper: An Argument for Applications of Reinforcement in Image Segmentation to Mitigate Adversarial Attacks. 7073-7380 - Luigia Rizzo, Domenico Rossi, Fabiola De Marco, Alessia Auriemma Citarella, Monica Maria Lucia Sebillo, Genoveffa Tortora:
Explainable Multimodal Ai for Oral Cancer: Integrating Image Segmentation and Large Language Models. 7081-7088 - Priya Tomar, Aditya Parikh, Christian Bauckhage, Rafet Sifa:
Leveraging Transfer Learning with Class-Specific Decoders for Laparoscopic Segmentation. 7089-7096 - Jinjing Zhang, Pinle Qin, Jianchao Zeng, Lijun Zhao, Xiaoyu Feng:
Deep Gradient-Guided and Gradient-Reinforced Network for Multi-Modal Brain Tumor Segmentation. 7097-7106 - Tejaswani Dash, Gautam Datla, Anudeep Vurity, Tazeem Ahmad, Mohd Adnan, Saima Rafi, Saisha Patro, Saina Patro:
Residual GRU+MHSA: A Lightweight Hybrid Recurrent Attention Model for Cardiovascular Disease Detection. 7107-7116 - Mahmoud Elbattah, Federica Cilia, Gilles Dequen:
Few-Shot Learning with Pretrained Visual Embeddings of Eye-Tracking Patterns for Autism Detection. 7117-7122 - Loris Bergeron, Jérôme François, Radu State, Jean Hilger:
Leveraging Large Language Models to Build Computationally Efficient Models for Sustainable Finance Investment Decision Support. 7123-7132 - Eliot Brenner, Dominic Seyler, Manjunath Hegde, Andrei Simion, Koustuv Dasgupta, Bing Xiang:
Adaptation of Embedding Models to Financial Filings Via LLM Distillation. 7133-7142 - Qizhao Chen, Hiroaki Kawashima:
Multi-Agent LLM Framework for Formulaic Alpha Generation and Selection in Quantitative Trading. 7143-7152 - Francisco Galuppo, Gianlucca L. Zuin, Guilherme Drummond, Denis Oliveira, Adriano Alonso Veloso:
Enhancing Genetic Algorithms for Feature Selection with Language Models. 7153-7162 - Chinmay Gondhalekar, Urjitkumar Patel, Fang-Chun Yeh:
MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation Framework for Financial Question Answering. 7163-7172 - Chinmay Gondhalekar, Urjitkumar Patel, Fang-Chun Yeh:
SQuARE: Structured Query & Adaptive Retrieval Engine for Tabular Formats. 7173-7180 - Berkcan Kapusuzoglu, Supriyo Chakraborty, Renkun Ni, Stephen Rawls, Sambit Sahu:
SPEAR-MM: Selective Parameter Evaluation and Restoration via Model Merging for Efficient Financial LLM Adaptation. 7181-7185 - Konstantinos Katharakis, Ana Paula Garcia, Joana Rio Maior, Sarah Sophie Nagel, Raghava Rao Mukkamala:
Time Series and Econometric Modeling using Small Language Models. 7186-7195 - Sarthak Khanna, Armin Berger, Muskaan Chopra, David Berghaus, Rafet Sifa:
History Rhymes: Macro-Contextual Retrieval for Robust Financial Forecasting. 7196-7203 - Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan:
ABL: An LLM-Based Agentic Framework for Applying Black-Litterman Portfolio Optimization. 7204-7212 - Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan:
ACVA: An Agentic LLM-Based Framework for CVA Calculation. 7213-7220 - Mohammad Luqman, Himaanshu Gauba, Prabhat Kumar, Akshar Prabhu Desai, Ajay Yadav, Ritu Prajapati, Pranjul Yadav:
Survey of Agents Methodologies in the Financial Domain. 7221-7227 - Christopher Regan, Ying Xie:
Inferring Latent Market Forces: Evaluating LLM Detection of Gamma Exposure Patterns via Obfuscation Testing. 7228-7237 - Kexin Wang, Quanzhi Li:
Automatic Court View and Judgment Generation for Private Loan Cases Using LLMs. 7238-7245 - Hasan Ersan Yagci, Aygül Dikmen, Cansu Gürel, Ömer Burak Akgün, Ilgin Safak, Nailcan Kara, Özge Özcan Metinkaya, Arzucan Özgür:
Automatic Labeling of Bank Transfer Categories Using a Hybrid Retrieval Augmented Generation Architecture. 7246-7252 - Tobias Deußer, Gregor Ramien, Nico Weber, Maximilian Meidinger, Max Hahnbück, Christian Bauckhage, Rafet Sifa:
Leveraging Synthetically Generated Data for Real Estate Document Classification. 7253-7257 - Aditi Gautam, Manikandan Ravikiran, Fatma Sena Ekiz:
Memory-Augmented Forecasting: Scalability and Generalization Across Temporal Domains. 7258-7265 - K. R. Sheetal Kumar, Akhash Vellandurai, Abhishek Kumar, Vinoth Kumar, Kingshuk Banerjee:
Minimizing Delays in Opportunity Charging for Electric Bus Fleets. 7266-7270 - Manikandan Ravikiran, Aditi Gautam, Alisha Chulani:
Beyond MAE: Measuring Forecast Reliability with Temporal Dependence-Aware Error (TDE). 7271-7277 - Ankit Sharma, Manikandan Ravikiran, Sohom Chakrabarty, Rohit Saluja, Mrunmayee Limaye, Harshal Kolhe, Samiron:
Prompted to Fly: Translating Free-Form Instructions into Schema-Constrained Mission Generation for UAVs Using LLMs. 7278-7286 - Akhash Vellandurai, Ankit Sharma, Vinoth Kumar, Kingshuk Banerjee:
Weighted Sum TimeMixerMax: Capturing Peak Dynamics in Multivariate Time Series Forecasting. 7287-7293 - Rajat Verma, K. R. Sheetal Kumar, Vinoth Kumar:
Improving Ev Customers Loyalty by Incentivizing Charging. 7294-7300 - Amirhossein Alizad, Mostafa Milani:
Relation-Stratified Sampling for Shapley Values Estimation in Relational Databases. 7301-7310 - Yukun Cui, Feng Zhang, Zheng Chen, Wei Lu, Tong Li, Xinyi Zhang, Shuang Liu, Yahui Sun, Xiaoyong Du:
Accelerating Graph Neural Network Inference in Heterogeneous Computing Environments. 7311-7320 - Haopu Dong, Zirui Hu, Chenhao Lu, Siyang Weng, Qingsong Ruan, Rong Zhang:
Memory-Aware Query Optimization. 7321-7329 - Futoshi Hashimoto, Takuya Suzuki, Shunta Sakai, Hayato Yamana:
Accurate and Low-Latency Secure BERT Inference Leveraging Homomorphic Encryption and Trusted Execution Environment. 7340-7346 - Zarin Tahia Hossain, Mostafa Milani:
Beyond Accuracy: An Empirical Study of Uncertainty Estimation in Imputation. 7347-7356 - Ai Kawasaki, Da Li, Panote Siriaraya, Yukiko Kawai, Shinsuke Nakajima:
Evaluation of the Effectiveness of Automatically Generated Spot Descriptions Based on Walking Route Surrounding Information. 7357-7364 - Youngjoon Lee, Jinu Gong, Joonhyuk Kang:
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks. 7365-7369 - Yuzhuo Gao, Abinas Roy, Vishal Chodnekar, Chetan Solur, Guanzhong Pan:
Survey of Generative Artificial Intelligence Powered Human-Data Interfaces in Big Data Systems. 7370-7379 - Jitai Li, Chuitian Rong, Yukun Cui, Tiegang Chen:
The Lightweight Optimization Techniques for Knobs Tuning of Database System Using Evolution Strategy. 7370-7377 - Da Li, Sora Takayama, Tadahiko Kumamoto, Yukiko Kawai:
Emotion-Aware Music Recommendation System Based on Video Content and User Mood. 7378-7384 - Hayate Masuda, Ryotaro Tsukada, Masashi Toyoda, Naoki Yoshinaga:
Robust Crowd Forecasting at Event Venues Using Microblog Posts. 7385-7394 - Ryoto Miyamoto, Akira Kasuga:
Enterprise Data Science Platform: A Unified Architecture for Federated Data Access. 7395-7404 - Hitomi Mori, Chihiro Maru, Miyuki Nakano, Masato Oguchi:
GAN-Based Anomaly Detection for Time-Series Data Considering Privacy Protection. 7405-7414 - Rei Ohoka, Daisuke Kitayama:
Gamified Individual Brainstorming Support Using LLM-Based Unique Score. 7415-7423 - Tyson O'Leary, Everett Lewark, Federico Larrieu, Nathan Orwick, Paige Hansen, Sangmi Lee Pallickara, Shrideep Pallickara:
Scalable Harmonization for Efficient Exploration of Heterogeneous Spatiotemporal Datasets. 7424-7434 - Jiaming Tian, Zhenbo Fu, Hao Yuan, Qiange Wang, Chaoyi Chen, Minghe Yu, Yanfeng Zhang, Ge Yu:
Dual RAG: An Effective Graph-Based RAG Framework with Adaptively Integrating Knowledge Graphs and Chunks. 7435-7443 - Reon Uemura, Daichi Amagata:
IVF++: A Flexible and Efficient Algorithm for Approximate Nearest Neighbor Search under Attribute Constraint. 7444-7451 - Fumiya Yamaguchi, Mayuko Yokoyama, Asaka Cheng Lan, Da Li, Mayumi Ueda, Shinsuke Nakajima:
A Data-Driven Method to Mining and Integrating Subjective Third-Party Fragrance Impressions from User Reviews Into Intelligent Database Systems. 7452-7460 - Xinni Yang, Da Li, Shinsuke Nakajima, Yukiko Kawai:
Learning to Re-Rank Search Results with Latent User Expectations for Ads. 7461-7468 - Jiutao Zhou, Chenyu Zhang, Peirong Ma, Weiguang Qu, Masaru Kitsuregawa, Yanhui Gu:
ReasonAlign: A Prompt-Based Framework for Zero-Shot Schema Alignment Across Data Sources. 7469-7476 - Aydin Ayanzadeh, Tim Oates:
Floorplan2Guide: LLM-Guided Floorplan Parsing for BLV Indoor Navigation. 7477-7485 - Hong Seng Gan, Hancang Mi, Shuxian Wu, Ozgur Tosun, Atakan Bayir, Özge Ertem:
Knee Cartilage Segmentation Using Dual-Channels Graph Attention Network: Data from the Osteoarthritis Initiative. 7486-7492 - Xingfeng Li, Jiahao Kang:
Musically-Inspired Colored Pitch Features for Emotion and Speaker Recognition in Speech. 7493-7502 - Hengjie Ma, Hong Seng Gan, Hancang Mi, Pengjing Xu, Yang Liu, Weikai Li:
Attention Transfer Based Hybrid Knowledge Distillation for Multimodal Brain Tumor Segmentation. 7503-7510 - Bing Ni, Cheuk-Yin Cheung, Chi-Hung Ng:
A Framework for Enhancing Variety-Seeking. 7511-7520 - Nick Tzavidas, Anestis Kaimakamidis, Ioannis Pitas:
Cloud Learning-by-Education Node Community (C-LENC) Framework. 7521-7528 - Bohan Zhang, Yiyi Miao, Taoyu Wu, Tong Chen, Ji Jiang, Zhuoxiao Li, Zhe Tang, Limin Yu, Jionglong Su:
ArchMap: Arch-Flattening and Knowledge-Guided Vision Language Model for Tooth Counting and Structured Dental Understanding. 7529-7538 - Jordan Edgecombe, Neil Phillips, Mahmoud Elbattah:
StandUp: A Semi-RAG Retrieval Tool to Enhance Access to Housing Law in England and Wales. 7549-7555 - Qiang Mao, Fusheng Wei, Robert Neary, Charles Wang, Han Qin, Jianping Zhang, Nathaniel Huber-Fliflet:
Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery. 7556-7561 - Qiang Mao, Han Qin, Robert Neary, Charles Wang, Fusheng Wei, Jianping Zhang, Nathaniel Huber-Fliflet:
A Comparative Study of Retrieval Methods in Azure AI Search. 7562-7567 - Ran Qin:
Cost-Efficient and Accurate Legal Contract Analysis Using Multi-Tier Large Language Models Under Cloud Computing. 7568-7577 - Chen Wu, Tongyue Xiong, SaiXing Shi, Qunxin Du, Binbin Ma:
An Analysis of Ethical Risks and Legal Issues in AI-Empowered Data Collection of Students' Learning Activities. 7578-7583 - Jianping Zhang, Han Qin, Nathaniel Huber-Fliflet:
Detecting Privileged Documents by Ranking Connected Network Entities. 7584-7589 - Athanasios Askitopoulos, Dimitrios Bormpoudakis, Iason Tsardanidis, Ilias Tsoumas, Dimitra A. Loka, Christos Noulas, Paraskevi Gripari, Alexandros Tsitouras, Charalampos Kontoes:
Enhancing Soil Organic Carbon Mapping by Combining Remote Sensing and Farmer-Collected Data in a Machine Learning Framework. 7590-7595 - Geeta Rani, Vijaypal Singh Dhaka, Tommaso Ruga, Eugenio Vocaturo, Ester Zumpano:
Towards an Integrated AI Pipeline for Disease Diagnosis and Quality Assessment in Coffee Production. 7596-7605 - Arijit Ghosh, Anindya Bijoy Das:
Performance Analysis of Open-Source LLMs for Visual Agricultural Intelligence. 7606-7611 - Seunghan Lee, Jiho Choi, Sung Woo Byun:
Comparative Analysis of Deep Learning Architectures for Data - Driven Phenotype Prediction. 7612-7616 - Yi Liu, Matthew L. Spangler, Jennifer Clarke, Hongfeng Yu:
Toward Cost-Efficient Metadata Curation in Agricultural Genomics with LLMs. 7617-7626 - Laura Teresa Martínez-Marquina, José Ramón Torres Martín, José Manuel Velarde Gestera, Juan Antonio Navas-Cortés, Miguel Román Écija, Mihaela I. Chidean, Inmaculada Mora-Jiménez:
A Data-Driven Framework for Temporal Monitoring of Xylella fastidiosa in Almond Trees. 7627-7635 - Sai Nath Chowdary Medikonduru, Hongpeng Jin, Yanzhao Wu:
A Diversity-Optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection. 7636-7641 - Anirban Acharya, Thilanka Munasinghe, Kevin Rose:
Early Detection of Harmful Algal Blooms using Machine Learning. 7642-7651 - Hasaan Ahmed, Huong Mai Nguyen, Amirhossein Ghaffari, Ekaterina Gilman, Lauri Lovén:
Past to Plan: LLM-Powered Personalized Travel via Mobility Patterns. 7652-7661 - Homayra Alam, Bayu Adhi Tama, Sikan Li, Mostafa Cham, Omar Faruque, Jianwu Wang:
Scalable Deep Learning for Greenland Ice Bed Topography Prediction. 7662-7667 - Kevin Chovanec, John Fields, Praveen Madiraju:
Explaining Pre-Trained Language Models in the Context of Higher Education. 7668-7676 - Tripti Garg, Durga Toshniwal, Manoranjan Parida:
Rule-Guided, Cost-Sensitive LLMs for Optimal Maternal Ambulance Dispatch Triage in Resource-Constrained Settings. 7677-7686 - Heng Hao, Wenjun Hu, Oxana Verkholyak, Davoud Ataee Tarzanagh, Baruch Gutow, Sima Didari, Masoud Faraki, Hankyu Moon, Seungjai Min:
PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning. 7687-7696 - Manodhya Opallage, Quazi Abidur Rahman:
Reflection: A Graph-Based Journaling System for Emotional Navigation Using Intelligent Pathfinding. 7697-7702 - Domenico Rossi, Alessia Auriemma Citarella, Fabiola De Marco, Genoveffa Tortora:
Green AI for Healthcare: Efficient ECG Biometrics Through Model Compression. 7703-7708 - Tommaso Ruga, Luciano Caroprese, Eugenio Vocaturo, Ester Zumpano:
A Conversational Agent for Rare Eye Disease Knowledge Support in Local Italian Healthcare Contexts: The ELENA Framework. 7709-7713 - Salim Sazzed, Rafe Sumnan Azade, Farhan Noor Dehan, Md Ehashan Rabbi Pial:
Evaluating the Few-Shot Performance of Large Language Models for Classifying Clinical Risk Factors in Mental Health Text. 7714-7718 - Md Nahid Parves Shakil, Md. Saiful Islam, Nasimul Noman, Marcella Papini:
Feature Drift-Guided Adaptive ML Retraining: An MLOps Approach for Big Data Analytics. 7719-7727 - Yongheng Wang, Wensheng Gan, Philip S. Yu:
AI-Driven Log Analysis: Advances and Challenges. 7728-7743 - Dustin Yan, Melody Moh, Teng-Sheng Moh:
ApplicantAI: Transforming Resume Creation, Leveraging LLMs for Job Applications. 7738-7746 - Dalila Cherifi, Ghillasse Bentayeb, AbdelDjalil Saadsaoud, Larbi Boubchir:
EEG Signal Analysis for Biometric Identification Using Machine Learning. 7747-7753 - Abdullah Mahmood, Timothé Bentaboulet, Sophie Féréol, Régis Fournier, Amine Naït-Ali:
Preserving BioMicroMetric Information in Deep Learning Based Cell Migration Analysis. 7754-7760 - Marco Becattini, Roberto Verdecchia, Enrico Vicario:
An Accountability-Based Architectural Tactic for Agent Cooperation in LLM-Based Multi-Agent Systems. 7761-7769 - Broderick Bellard, Xinyi Celine Liu, Raima Lohani, Shaina Raza, Pedro Elkind Velmovitsky, Quynh Pham, Shumit Saha:
Development and Evaluation of an Agentic RAG with Embedded LLM-as-a Judge for Heart Failure Management: A Pilot Study. 7770-7774 - Alex Kaplunovich:
Plan-Execute-Generate-Judge: A Self Verifying Multi Agent LLM Framework for Complex NoSQL Querying. 7775-7784 - Daniel Liu, Krishna Upadhyay, Vinaik Chhetri, A. B. Siddique, Umar Farooq:
A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems. 7785-7792 - Even Eilertsen, Vasileios Mavroeidis, Gudmund Grov:
Towards Agentic Investigation of Security Alerts. 7793-7802 - Haruto Ishii, Kunio Akashi, Yuji Sekiya:
TabRefine: A Post-Processing Framework for Enhancing Synthetic Tabular Data in Network Intrusion Detection Systems. 7803-7813 - Bojing Li, Duo Zhong, Dharani Nadendla, Gabriel Terceros, Prajna Bhandary, Raguvir S, Charles Nicholas:
MASCOT: Analyzing Malware Evolution Through a Well-Curated Source Code Dataset. 7814-7824 - Jacob Mahon, Chenxi Hou, Zhihao Yao:
PyPitfall: Dependency Chaos and Software Supply Chain Vulnerabilities in Python. 7825-7834 - Mahya Samdaliri, Zhihao Yao:
PACE: Policy Adaptation for Cybersecurity Events Through Formal Verification of LLM-Generated Firewall Policies. 7835-7844 - Bharath Kumar Swargam, Prajna Bhandary, Charles Nicholas:
Analyzing the Impact of Outliers in Malware Clustering. 7845-7853 - Rebeka Tóth, Richard A. Dubniczky, Olga Limonova, Norbert Tihanyi:
Sustaining Cyber Awareness: The Long-Term Impact of Continuous Phishing Training and Emotional Triggers. 7854-7862 - Zhixiong Chden, Tianyu Wang, Nianjun Zhou, Deming Chen:
Decentralized Identification and Communitycorroborated for Multi-Agent Access Control and Trust Management. 7863-7872 - Aditya Aggarwal, Nahid Farhady Ghalaty:
A Distributed Multi-Agent Framework for Real-Time Privacy Monitoring and Compliance in Enterprise AI Systems. 7873-7882 - Tasmiah Tahsin Mayeesha, Pretom Roy Ovi, Sharad Sharma:
Adversarial Misdirection: Probing & Visualizing Cross-Modal Reasoning Vulnerabilities in Vision-Language Models. 7899-7907 - Jacopo Tagliabue, Ciro Greco:
Safe, Untrusted, "Proof-Carrying" AI Agents: Toward the Agentic Lakehouse. 7908-7912 - Lu Zhang, Yubao Wu:
Towards Explainable and Educational Phishing Detection: A Zero-Shot LLM Approach. 7913-7922 - Jiangrui Zheng, Yingming Zhou, Ali Abdullah Ahmad, Hanqing Yao, Xueqing Liu:
From Reviewers' Lens: Understanding Bug Bounty Report Invalid Reasons with LLMs. 7923-7932 - Sydney Anuyah, Mehedi Mahmud Kaushik, Hao Dai, Rakesh Shiradkar, Arjan Durresi, Sunandan Chakraborty:
Domain-Specific Knowledge Graphs in RAG-Enhanced Healthcare LLMS. 7943-7952 - Sydney Anuyah, Sneha Shajee-Mohan, Ankit-Singh Chauhan, Sunandan Chakraborty:
Benchmarking LLMs for Pairwise Causal Discovery in Biomedical and Multi-Domain Contexts. 7953-7962 - Subbareddy Batreddy, Giridhar Pamisetty, Priya Verma, Ch. Sobhan Babu:
EHR Can-Flow: Contrastively Aligned Normalizing Flows for Conditional EHR Generation. 7963-7970 - Keyuan Jiang, Iram Azam, Gordon R. Bernard:
Batch Classification of Text Data for Personal Health Experience Identification with LLM Batch Prompting. 7971-7978 - Giuliano Lorenzoni, Paulo S. C. Alencar, Donald D. Cowan:
An Agentic LLM-Based Framework for Population-Scale Mental Health Screening. 7979-7986 - Giuliano Lorenzoni, Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan:
Contextual Prompt Enabler for Mental Health (CPEMH): An Agent-Based LLM Framework for Prompt Design, Evaluation, and Selection for Depression Screening from Transcripts. 7987-7996 - Giridhar Pamisetty, Subbareddy Batreddy, Priya Verma, Ch. Sobhan Babu:
HiCARE-EHR: Hierarchical Conditional AutoRegressive Events for High-Fidelity EHRs. 7997-8003 - Naga V. S. M. Rayabharam, Mohammad Masudur Rahman, Rahmanul Hoque, Sayed Mohsin Reza, Md Faisal Kabir:
Extracting Latent Insights and Tagging Fall Injuries from Clinical Narratives Using Unsupervised Learning. 8004-8010 - Umme Kulsum Tumpa, Nazifa Tasnim Hia, Md Shahrar Fatemi, Md. Mahbubul Alam Joarder, Shebuti Rayana:
Voices of Care: Actor-Centric LLM-Assisted Analysis of Alzheimer's and Dementia Discourse on Reddit. 8011-8020 - Yucheng Wang, Alex Li, Jeremy Blum, Hien Nguyen:
Multi-Planners in Plan-and-Solve Prompting for Medical Reasoning. 8021-8029 - Yucheng Wang, Md AlMahfuz Chowdhury, Mahmuda Akter Sristy, Md Faisal Kabir:
StagRAG: Explaining Where RAG Systems Go Wrong in Medical Reasoning. 8030-8039 - Kpangni Alex Jérémie Koua, Bara Diop, Mamadou Diop, Cheikh Talibouya Diop, Lamine Diop:
Ontology for Newborn Screening: Towards a Knowledge Graph for Sickle Cell Disease. 8040-8049 - Qilin Li, Yaqiang Wang, Weiyi Zhang, Guo Chen, Tao Zhu, Xuechao Hao:
Informative Instances are More Important: Hardconstrained Data Generation for Augmenting Postoperative Pulmonary Complication Prediction. 8050-8059 - Yuelin Luo, Yaqiang Wang, Xiran Peng, Ruihao Zhou, Guo Chen, Xuechao Hao, Tao Zhu:
A Preoperative Data Sentenceization Method for Postoperative Major Adverse Cardiovascular Event Prediction. 8060-8069 - Yiwen Shi, Xiaohua Hu:
Dynamic Retrieval Strategy for Summarizing Doctor-Patient Dialogues with RAG. 8070-8079 - Abdelhafid Zeroual, Amir Benzaoui, Larbi Boubchir:
Hybrid Learning Paradigm for Automatic Electrocardiograph Heartbeat Anomaly Detection. 8080-8085 - Jinjing Zhang, Pinle Qin, Jianchao Zeng, Lijun Zhao, Xiaoyu Feng:
Semantic Dual-Decomposition Unfolding Network for Multi-Modality Medical Image Segmentation. 8086-8095 - Wenxi Zhu, Wensheng Gan, Zhenlian Qi, Philip S. Yu:
Large Language Models for Bioinformatics: Applications and Challenges. 8096-8105 - Xueyan Bai, Tao Jiang, Lingling Yuan, Ruiheng Li, Jinkui Li, Kang Fu, Xiaoyan Li, Chen Li:
Med-Align: Zero-Shot Histopathological Image Classification via Adaptive Multimodal Feature Alignment. 8106-8115 - Kang Fu, Tao Jiang, Lingling Yuan, Jinkui Li, Xueyan Bai, Ruiheng Li, Marcin Grzegorzek, Hongzan Sun, Chen Li:
KTD-Net: A Synergistic Diffusion Framework with Gated Knowledge-Transfer Transformer for Abdominal Multi-Organ Segmentation in CT Images. 8116-8125 - JinKui Li, Tao Jiang, Kang Fu, RuiHeng Li, XueYan Bai, Marcin Grzegorzek, Hongzan Sun, Chen Li:
Met-Diff: A Diffusion Model-Based with Multi-Organ Segmentation in Abdominal CT of Metabolic Syndrome Patients. 8126-8134 - Jinyang Lv, Zhenfu Chen, Liang Wei, Faxu Li:
Biased Random Walks with multiple-particle for Mining vital Clique Structures in Higher-Order Networks. 8135-8143 - Lijun Zhao, Zhanrong Zhao, Jinjing Zhang, Ruizhen Liu, Lin Li:
Interpretable Infrared Target Detection via Multi-Scale Robust Principle Component Analysis. 8144-8152 - Jeong-Eun Choi, Shiying Fan:
Towards Interpretable Suicide Risk Prediction: A Hybrid Approach with Feature Extraction and Sequential Binary Classification. 8153-8162 - Jannic Alexander Cutura:
Time-Aware Ordinal Modelling of Sequential Text Data: A Two-Stage Architecture Combining Llm Classification and Lightweight Temporal Models. 8163-8168 - Zhixiang Lu, Jionglong Su:
HierRisk: A Hierarchical Framework for Suicide Risk Prediction on Social Media. 8169-8174 - Miao Wang:
LADEN: A LLM-AideD ENsemble Model for Suicide Risk Prediction. 8175-8180 - Li-Fang Wang, Ping-Cheng Chuang, Man-Ho Li, Cheng-Te Li:
PoWER-M: Prediction of Writing-Based Emotional Risk with Mental-Adaptive Multi-Modal Learning. 8181-8190 - Chang Yang, Ziyi Wang, Wangfeng Tan, Zhiting Tan, Changrui Ji, Zhiming Zhou:
Hierarchical Dual-Head Model for Suicide Risk Assessment via MentalRoBERTa. 8191-8199 - Rui Zeng, LiYan Chen, Rui Zhang, Ye Li:
Multi-Modal Sequential Prediction of Suicide Risk on Social Media via Feature Fusion and Ordinal Classification. 8200-8207 - Muteb Hail S. Al Anazi:
From Equation to MatView: ACBP Compiles Categorical Boolean Policies into Verifiable Decision Spaces with Sub Second Joins. 8208-8212 - Eda Atalay:
Examining Moral Judgment in Aligned LLMs. 8216-8218 - Jonathan Bader, Edgar Blumenthal, Marten Eckardt, Justus Krebs, Joel Witzke, Xemena Wysokinska, Haci Ismail Aslan, Odej Kao:
Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling. 8219-8221 - Jonathan Bader, Julius Irion, Jannis Kappel, Joel Witzke, Niklas Fomin, Diellza Sherifi, Odej Kao:
Learning Process Energy Profiles from Node-Level Power Data. 8222-8224 - Gunnar Von Bergen, Jingyi Huang, Maria Kunigk-Bakalar, Liran Ma, Yang Zhang:
Med-CoT: Towards Proactive Clinical Agentic LLM. 8225-8229 - Bangli Du, Yaqiang Wang, Ying Ye, Jiannong Wu, Shan Liu, Ze Chang, Yunling Zhang:
A Generative Syndrome Differentiation Method Based on Multi-Path Fusion of Multimodal TCM Clinical Data. 8230-8232 - Francesco Flammini:
Towards Autonomic and Trustworthy Wheelchair-Drone Systems Through Run-Time Monitoring for Data-Driven Self-Healing. 8233-8235 - Andrew Gargett, Lucette Gargett:
Investigating Folk Psychology in Legal Text. 8236-8238 - Cameron Hajaliloo, Cameron Scolari, Sophie Kadifa, Lanyu Shang, Junyuan Lin:
Structure-Aware Content Classification on Social Networks via Diffusion Graph Learning and LLMs. 8239-8243 - Yubin Ham, Hyeonsu Seong, Sukbeom Chang, Joohee Oh:
From Pixels to Profits: A Multimodal Analysis Showing Visual UGC Outperforms Traditional Metrics in Retail Performance Classification. 8244-8246 - Minju Hong:
Adaptive Sub-Question Generation for Visual Commonsense Reasoning. 8247-8249 - Ying Hu, Guang Cheng, Deyu Zhao:
Attention-based Multi-label Multi-class Classification for Multiplexed VPN Traffic Identification. 8250-8252 - Jaegeun Jang, Young-Woo Kwon:
Analyzing Spatio-Temporal Graph Neural Networks to Predict Urban Flooding on Unstructured Mesh. 8253-8255 - Hyewon Kim, Sungwha Hong:
Clustering-Based Network Analysis of International Scientific Collaboration. 8257-8258 - DaeGwang Kim, Young-Woo Kwon:
Multi-Scale Dual-VAE with Extreme-Aware Optimization for Flood Early Warning. 8260-8262 - Seong-Hwan Kim, Siwoon Son, Heesun Won:
ASPEN: Authority-Based Sovereign Provenance-Enforced Network for RDF Catalog Federation. 8263-8265 - Mio Kodama, Saki Inoue, Yuanyuan Wang, Yukiko Kawai, Kazutoshi Sumiya:
An Automatic Viewpoint Switching Method to Enhance Route Comprehension in Map Spaces. 8266-8268 - Tahoon Kwon, Jinny Seo, Eunsoo Sohn:
Analyzing SDG Relevance in Strategic AI Research Defined by Korea's National Agenda with an LLM-Augmented Classifier. 8269-8271 - Jiae Lee, Seunghyun Yoon, Hyuk Lim:
MP-RAG: Multi-Paraphrasing Enhanced Retrieval-Augmented Generation. 8272-8274 - Sunwoo Lee, Hyuk Lim, Seunghyun Yoon:
Signed-Only Execution for Third-Party Pre-Trained Models in AI Platforms. 8275-8277 - Sun-Hye Lee, Young-Woo Kwon:
A Probabilistic Multi-Scale Temporal Framework for Quality Assessment in the IoT Sensor Network. 8278-8280 - Changyi Li, Yu Xiao:
Revisiting the Impact of Domain Similarity on the Performance of Cross-Domain Few-Shot Activity Recognition. 8281-8283 - Yuelin Luo, Yaqiang Wang, Xiran Peng, Ruihao Zhou, Guo Chen, Xuechao Hao, Tao Zhu:
A Preliminary Study on Preoperative Data Sentenceization for Postoperative Major Adverse Cardiovascular Event Prediction. 8284-8286 - Rafi Magdon-Ismail, Thilanka Munasinghe, Jennifer C. Wei:
Data Driven Dengue Dynamics via Satellite Data. 8287-8290 - Ryan Anthony Marinelli, Victor Strandmoe:
Durinn: Scaling Vibe Coding Auditing. 8291-8293 - Thilanka Munasinghe, Kimberly A. Cornell, James A. Hendler, George Berg, Jennifer C. Wei:
A Knowledge-Based System for Managing Hardware Dependency and Reproducibility in Quantum Machine Learning Workflows. 8294-8298 - Daniel Onah, Ravish Desai:
DeepBrainNet: An Optimized Deep Learning Model for Brain Tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning. 8300-8302 - Ren Wei Ou, Ruisi Li:
Ray Tracing-Enabled Realistic Data-Driven Site-Specific CSI Prediction. 8303-8305 - Naomi Panjaitan, Ling Jin, Caitlin Brown, Tin Ho, Anna Spurlock, Thomas Wenzel, Alina Lazar, Qianmiao Chen, Andrew Bae:
Large Scale Integrated Simulation of Household Vehicle Fleet Composition with Geographically Explicit Synthetic Population. 8306-8308 - Hun Park:
SPECTRUM: A Unifying Mechanism for Specific Preference Tailored Responses. 8309-8311 - Sae Hyong Park, Seungjae Shin, Sungtae Hong, Byungchan Kim, Taeyeon Kim:
Towards a Control and Optimization Intelligence for 6G Mobile Networks. 8312-8314 - Juhyeong Park:
Culturally Guided Query Rewriting for Korean Cultural Inference. 8315-8317 - Jemin Park, Wonmo Kang, Ha Eun Jang, David Niewelt, Joohee Oh:
Quantifying Multimodal Review Quality with LLMs in the Online Marketplace. 8318-8320 - Jinny Seo, Eunsoo Sohn, Taehoon Kwon:
Big Data Network and Cluster Analysis of Cell and Gene Therapy (CGT) Policy Documents. 8321-8323 - Hyeonsu Seong, Yubin Ham, Sukbeom Chang, JooHee Oh:
Beyond Tabular Data: Interpretable Promotion Effectiveness with a Heterogeneous Graph Attention Network. 8324-8326 - Soorya Ram Shimgekar, Abhay Goyal, Shayan Vassef, Koustuv Saha, Christian Poellabauer, Xavier Vautier, Pi Zonooz, Navin Kumar:
NimbleLabs: Accelerating Healthcare AI Development Through Agentic AI. 8327-8329 - Eunsoo Sohn, Jinny Seo, Taehoon Kwon:
The Knowledge Landscapes and Korea's Technological Competitiveness in Synthetic Biology Based on a Scientometric Approach. 8330-8332 - Siwoon Son, Seong-Hwan Kim, Heesun Won:
Design and Implementation of a Distributed Data Pipeline Framework for Multi-Hub Environments. 8333-8335 - Taihei Sone:
Wage Sentiment Indices Derived from Survey Comments via Large Language Models. 8336-8340 - Hyewon Song, Chang Soo Kim, Moonyoung Chung:
Event-Driven Dynamic Traffic Trajectory Generation Framework Under Exceptional Traffic Scenarios. 8341-8343 - Tatsuya Teshima, Tadashi Kaji, Haruo Takeda:
A Trust Model in Data Flow on 5W1H. 8344-8347 - Siyao Wang, Jianfeng Wang, Florian Guitton, Guanyu Tao, Chengliang Dai, Nguyen Truong, Mark Kennedy, Kai Sun:
A Practical Framework for Active and Accountable Clinical Data Governance in Multi-Organization Research. 8348-8351 - Jaewon Yang, Seungnam Han, Euiseok Hwang:
Random Key Generation from Entropy-Constrained SRAM PUFs Using Fourier Analysis. 8352-8354 - Jin Zhang, Cong Yao, Wengen Li, Qiyou Xie, Qiuzhen Wan, Chunye Gong:
Physics-Guided Multimodal Neural Networks for Big Data - Driven Magnetic Component Design. 8355-8357 - Mohamed Elmahallawy, Asma Jodeiri Akbarfam:
Decentralized Trust for Space AI: Blockchain-Based Federated Learning Across Multi-Vendor LEO Satellite Networks. 1-10 - Ted Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi:
A Knowledge-Graph Translation Layer for Mission-Aware Multi-Agent Path Planning in Spatiotemporal Dynamics. 1-10
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