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ORCID24th ICMLA 2025: Boca Raton, FL, USA
- International Conference on Machine Learning and Applications, ICMLA 2025, Boca Raton, FL, USA, December 3-5, 2025. IEEE 2025, ISBN 979-8-3315-5980-9
- Diego Hitzges, Guillaume Sagnol:
Deep Learning for Unrelated-Machines Scheduling: Handling Variable Dimensions. 1-8 - Chen Tao, Li Shen, Soumik Mondal:
Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training. 9-16 - Suleiman Junaidu Sadiq, Martin Mariusz Lester:
Fault Robustness and Lightweight Error Correction for Low-Precision Posit Neural Networks in Safety-Critical Systems. 17-24 - Zhennan Shi, Qiushi Wei:
Learning Robust Simplex Sparse Representation Using Alternating Linearized Minimization Method. 25-32 - Taehee Jeong, Xingzhe Zhao, Peizu Li, Markus Valvur, Weihua Zhao:
Progressive Searching for Retrieval in RAG. 33-38 - Nour Jamoussi, Giuseppe Serra, Photios A. Stavrou, Marios Kountouris:
Information-Geometric Barycenters for Bayesian Federated Learning. 39-46 - Andreas Strand, Karsten Brathen, Martin Asprusten, Patrick Gorton:
Multi-Agent Behavior Cloning for Modeling Realistic Adversaries in Air Combat Simulations. 47-54 - Courtney Franzen, Farhad Pourkamali-Anaraki:
Out-of-the-Box Uncertainty: Reducing Confident Errors with Dirichlet Classifiers. 55-60 - Kuiche Sop Brinda Leaticia, Yuyan Luo, Kombou Victor, Anto Leoba Jonathan:
QMIX-Based Multi-Agent Reinforcement Learning for Coordinated Tourist Recommendation with Crowd Management. 61-66 - Venkat Margapuri, Garik Kazanjian, Naren Kosaraju:
PEPS: Quantum-Inspired Reinforcement Learning for Coherent Reasoning Traces in LLMs. 67-74 - Rama Kassoumeh, David Rügamer, Henning Oppel:
Enhancing Heavy Rain Nowcasting with Multimodal Data: Integrating Radar and Satellite Observations. 75-82 - Hongbo Pang, Changcheng Huang:
Leveraging Anatomical Guidance: A Novel Attention Mechanism for Pedestrian Detection. 83-90 - Mohammad Helal Uddin, Sai Krishna Ghanta, Liam Seymour, Sabur Baidya:
CAMP-HiVe: Cyclic Pair Merging based Efficient DNN Pruning with Hessian-Vector Approximation for Resource-Constrained Systems. 91-98 - Praveshika Bhandari, Connor Z. Young, Jan P. Springer, Aryabrata Basu:
Scientific Crosstalk: Analyzing Sentiment-Topic Alignment in Personal and Scientific Discourse. 99-106 - Punit Kumar, Vaibhav Saran, Divyesh Patel, Nitin Kulkarni, Alina Vereshchaka:
Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment. 107-114 - Nyi Nyi Aung, Neil Muralles, Adrian Stein:
Object Identification Under Known Dynamics: A PIRNN Approach for UAV Classification. 115-122 - Noaman Mehmood, Kenneth E. Barner:
Feature Orthogonalization via Contrastive Upper-bound Separation for Domain Generalization. 123-129 - Soham Khisa, Avijoy Chakma:
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition. 130-137 - Quentin Bigouraux, Vincent Heiries, Saifeddine Aloui, Antoine Laurin, Marion Chandesris:
State of Health estimation of Li-ion cells via internal degradation modes identification and physics-informed machine learning. 138-143 - Chreston Miller, Bipasha Banerjee:
Optical Character Recognition for Pre-Digital Historical Documents using Large Language Models. 144-151 - Ethan Pedersen, Jacob W. Crandall:
Automated Feature Engineering for Contextual Bandits via AATention Transfer Learning. 152-159 - Khalid Hasan, Jamil Saquer, Yifan Zhang:
Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models. 160-167 - Priyanka Haresh Bhatia:
MIGRANT-DE: Scalable Differential Evolution for Large-Scale Machine-Learning Optimization. 168-175 - Wadduwage Shanika Perera, Haodi Jiang:
BEACON: Behavioral Malware Classification with Large Language Model Embeddings and Deep Learning. 176-183 - Vaishnavi Sen
, Rashida Hasan:
A Feature-based Linguistic and Statistical Framework for AI-Generated Text Detection. 184-191 - Alimire Nabijiang, Feng Liu, Jiao Feng, Qilei Chen, Yu Cao, Benyuan Liu:
Accurate Polyp Sizing via Attention-Guided Parallel CNN-ViT Depth and Learned Scale. 192-199 - S. M. Rafiuddin:
Edu-EmotionNet: Cross-Modality Attention Alignment with Temporal Feedback Loops. 200-205 - Daichi Murata, Tatsumi Uezato, Yusuke Matsuda, Keisuke Inata, Satoshi Kujiraoka, Morio Matsumoto:
Data-augmentation Technique Using Helpful AI-generated Images for Training. 206-211 - Enis Teper, Mustafa Keskin, Emre Rençberoglu, Yusuf Hüseyin Sahin:
SkewFuse: Unsupervised Confidence-Guided Rank Fusion for Multi-View Image Retrieval. 212-217 - Akshat Sharma, JingTao Yao:
A Generative Adversarial based Approach for Continual Federated Learning with Non-IID Data. 218-223 - Jovan Andjelkovic, Shelly Gupta, Abdulrahman Alharbi, Zoran Obradovic:
Decoding Social Media Sentiment Before Events Occur Through Sentence-Level Embeddings and Graph Learning. 224-229 - Quincy Hershey, Randy C. Paffenroth:
Sparse RNNs in Reinforcement Learning Applications. 230-237 - Rafeef Baamer, Mihai Boicu:
Troll Detection in Reddit Using Combined Machine Learning classifiers, Deep Learning, and Human-in-the-Loop Analysis. 238-245 - Sayan Mandal, Divyadarshini Karthikeyan, Manas Paldhe:
SAM2LoRA: Composite Loss-Guided, Parameter-Efficient Finetuning of SAM2 for Retinal Fundus Segmentation. 246-252 - Lekha Patel, Shamina Hossain-McKenzie:
Heterogeneous Time Series Anomaly Detection in Cyber-Physical Systems with VAEM-LSTMs. 253-260 - Julien Pallage, Antoine Lesage-Landry:
Sliced-Wasserstein Distance-based Data Selection. 261-268 - Elbadry Elbadry, Mahmoud Gamal, Marwa Baraka, Marwan Torki:
Enhancing 3D Semi-Supervised Teeth Segmentation with Voxel Entropy-Guided Self-Learning. 269-274 - Chang Liu, Ladda Thiamwong, Yanjie Fu, Rui Xie:
Diffusion Policies with Offline and Inverse Reinforcement Learning for Promoting Physical Activity in Older Adults Using Wearable Sensors. 275-282 - Clarissa Loures, Caio Hosken, Luan Oliveira, Gianlucca L. Zuin, Adriano Veloso:
Enhancing Authorship Attribution with Synthetic Paintings. 283-288 - Mohammad Abdul Hafeez Khan, Twisha Bhattacharyya, Omar Khan, Noorah Khan, Alina Aziz Fatima Khan, Mohammed Qutub Khan, Sujoy Ghosh Hajra:
NORA: A Nephrology-Oriented Representation Learning Approach Towards Chronic Kidney Disease Classification. 289-295 - Esha Datta, Johanna Hennig, Eva Domschot, Connor Mattes, Michael R. Smith:
Topology of Out-of-Distribution Examples in Deep Neural Networks. 296-301 - Yiqin He, Qilei Chen, Ke Wan, Alimire Nabijiang, Yu Cao, Benyuan Liu:
A Multi-Stage Machine Learning Pipeline for Automated Bowel Preparation Scale Assessment in Colonoscopy Videos. 302-309 - Pramil Paudel, Fengjun Li:
Reconstruction-Free Classification for Lensless Imaging Systems. 310-315 - Taoran Sheng, Manfred Huber:
Label-Efficient Human Activity Recognition from Wearables via Self-Supervised Representation Learning. 316-323 - Babak Barazandeh, Subhabrata Majumdar, Om Rajyaguru, George Michailidis:
Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning. 324-329 - Austin Yunker, Peter Kenesei, Hemant Sharma, Jun-Sang Park, Antonino Miceli, Rajkumar Kettimuthu:
Uncertainty-Guided Learning for Semantic Segmentation in CT using Noisy Pseudo Labels. 330-337 - Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss, Livio Forte, Dan Buckmaster, Philip Schneider, Chunming Qiao, Alina Vereshchaka:
Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting. 338-345 - Dinesh Chowdary Attota, Linh Le, Ying Xie:
Privacy-Preserving Model Compression: Adaptive Pruning for Federated Split Learning of LLMs. 346-353 - Atsuya Saiga, Akihiro Inokuchi:
Learning a Single Compact Soft Tree with Iterative Updates of Sample Weights. 354-361 - Itallo Patrick Castro Alves Da Silva, Emanuel Adler Medeiros Pereira, Erick de Andrade Barboza, Baldoino Fonseca dos Santos Neto, Márcio de Medeiros Ribeiro:
Evaluating the Impact of Compression Techniques on the Robustness of CNNs under Natural Corruptions. 362-367 - Carlos Diaz, Hassan S. Salehi:
GUI-Based Deep Learning System for Real-Time Early Dental Caries Classification and Detection via OCT Images. 368-375 - Bingcheng Li:
Reinforcement Learning and 3D Chirogram Representation for Blind Source Separation. 376-381 - Shyam Sundar Murali Krishnan, Dean Frederick Hougen:
SR4-Fit: An Interpretable and Informative Classification Algorithm Applied to Prediction of U.S. House of Representatives Elections. 382-389 - Juan Manuel Perez, Kevin Garcia, Brooklyn Berry, Dongjin Song, Yifeng Gao:
Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing. 390-395 - Sérgio Baldo Júnior, Gabriel S. Matz, Marcos B. S. Paula, Ewerton Guarnier, Donato S. Filho, Raquel L. Melo, Lucas B. Picarelli, Victor C. V. Rosa, Zhao Liang, Renato Tinós:
Clustering and Explainable AI for Supporting Energy Contracting in the Brazilian Free Energy Market. 396-403 - Josias K. Moukpe, Philip K. Chan, Ming Zhang:
Highly Imbalanced Regression with Tabular Data in SEP and Other Applications. 404-409 - Gaurab Chhetri, Darrell Anderson, Boniphace Kutela, Subasish Das:
A Transformer-Based Cross-Platform Analysis of Public Discourse on the 15-Minute City Paradigm. 410-415 - Ariel Gonzalez Batista, Xingquan Zhu:
Survival Analysis for Employee Retention Prediction in Retail and Trade Sector Organizations. 416-423 - Fazle Rahat, M. Shifat Hossain, Arvind Ramanathan, Sumit Kumar Jha, Hao Zheng, Rickard Ewetz:
Attr-RAG: Attribution-Guided Retrieval-Augmented Generation for Scientific Experiment Design. 424-431 - Mitchell Piehl, Dillon Wilson, Ananya Kalita, Jugal Kalita:
Solving Math Word Problems Using Estimation Verification and Equation Generation. 432-439 - Zahra Salekshahrezaee, Mary Anne Walauskis, Taghi M. Khoshgoftaar:
Unsupervised Feature Extraction using Convolutional Autoencoder for Credit Card Fraud Detection. 440-445 - Raman Zatsarenko, Sergei Chuprov, Dmitrii Korobeinikov, Leon Reznik, Adrian Peña:
MADE-PI: Framework for Effective Anomaly Detection in Federated Learning Applications. 446-451 - Maroun Ayli, Youssef El Bakouny, Nader Jalloul, Hani Seifeddine, Rima Kilany:
AI-Driven Test Generation from Natural Language: A Gamified Framework for Automated UI Testing. 452-459 - Md Rubel Ahmed, Fazle Rahat, M. Shifat Hossain, Sumit Kumar Jha, Rickard Ewetz:
Street2Air: A Framework for Synthesizing Aerial Vehicle Views from Ground Images. 460-467 - Seraj Al Mahmud Mostafa, Aravind Mohan, Jianwu Wang:
SLA-MORL: SLA-Aware Multi-Objective Reinforcement Learning for HPC Resource Optimization. 468-475 - Xuke Yan, Bo Liu, Jinzhao He, Guangzhi Qu:
Fusing Camera and Electromyography Data for Enhanced Range of Motion Assessment. 476-483 - Gonzalo A. Vivian, Chelsea M. Zuvieta, Taghi M. Khoshgoftaar:
Return-to-Work Classification of Occupational Injury Claims via Rank-Ordering. 484-491 - Joshua Luo, Luke Zhong, Feiyang Cai, Long Cheng:
Supervised Contrastive Disentanglement for Classification. 492-499 - Khalil I. Almakrami, Rose Atuah, Michael P. McGuire:
Predicting Wildfire Spread with Attention U-Net: A Multi-Feature Geospatial Deep Learning Approach. 500-507 - Zarin T. Shejuti, Debzani Deb, Emily R. Dunkel:
From Answer to Origin: Page Number Grounding in Document-Level Question Answering. 508-514 - Gulsum Alicioglu, Bo Sun:
BoP-X: A New XAI Approach to Explain Reinforcement Learning for Autonomous Driving. 515-522 - Kehan Gao, Sarah Tasneem, Taghi M. Khoshgoftaar:
Medical Imaging with Deep Learning: A Comparison of CNN and Transformer Models. 523-530 - Abdul Muntakim, Sai Sanjay Potluri, Md Abdullah Al Hafiz Khan, Yong Pei:
Trust-Aware Human-AI Teaming Framework for Fake News Detection Using LLMs. 531-538 - Luke Delzer, Robert Kroleski, Ali K. AlShami, Jugal Kalita:
Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks. 539-546 - Jane Odum, John Mller:
Adaptive Quantile Guidance in Diffusion Models: Multi-Dataset Learning for Pandemic Time Series. 547-554 - An T. T. Phan, Xingquan Zhu:
EDLAD: Ensemble Deep Learning for Alzheimer's Disease Detection using Brain EEG Signals. 555-562 - Preston Billion Polak, Andy Sinclair, Taghi M. Khoshgoftaar:
Applying Machine Learning to Classify Automobile Repossession Success. 563-568 - Rafeef Baamer, Ahmed S. Alghamdi, Mihai Boicu:
Labeling an Arabic Sockpuppet Dataset Using a Human-in-the-Loop Approach - Short Paper. 569-574 - Eya Laffet, Ahmed Samet, Mohamed Anis Bach Tobji, Baptiste Lafabregue, François de Bertrand de Beuvron:
Dynamic Time Warping-Based Evidential Clustering of Time Series with c-Medoids. 575-581 - Débora Souza, Rohit Gheyi, Lucas Albuquerque, Gustavo Soares, Márcio Ribeiro:
Code Generation with Small Language Models: A Codeforces-Based Study. 582-587 - Zackary Hoyt, Dean Frederick Hougen, Bryan Lavender, Zachary Kastl, Levi Golston, Sean Nguyen, Joseph Karch:
Generalizing Distributions of Learned Error and Bias using Empirical Analysis. 588-594 - Duy Nhat Phan, Quynh Anh Nguyen, Thuy Ngoc Nguyen:
Federated Boolean Matrix Factorization Using Integer Programming. 595-600 - Martha Cash, Alexander M. Wyglinski:
Improving Internet Traffic Matrix Prediction via Time Series Clustering. 601-606 - Prasiddha Siwakoti, Atefeh Khoshkhahtinat, Piyush M. Mehta, Barbara J. Thompson, Michael S. F. Kirk, Daniel Da Silva:
Spectral and Spatial Graph Learning for Multispectral Solar Image Compression. 607-614 - Kushal Badal, Subhram Dasgupta, Md Tasnim Alam, Xiaohong Yuan, Kaushik Roy:
MARVEL: Multi-modal Analysis and Reasoning for Violence Explanation with Large Language Models. 615-622 - Pal Dave, Subhram Dasgupta, Kushal Badal, Xiaohong Yuan, Kaushik Roy:
Efficient Visual Cyberbullying Detection via Knowledge Distillation from EfficientNet to Lightweight CNNs. 623-630 - Shadman Sakib, Gaurav Shinde, Snehalraj Chugh, Mohammad Saeid Anwar, Nirmalya Roy:
RespFormer: A Motion-Guided Temporal-Frequency Multimodal Fusion Transformer for Contactless Respiratory Monitoring. 631-638 - Sanjaykrishnan Ravikumar, Ravi Kumar Rogannagari, Md. Jahirul Islam, Kazi Aminul Islam:
Comparative Analysis of Defense Approaches against Adversarial Attacks on Remote Sensing Applications. 639-646 - André Castro, Alexandre Naves, Lucas Neves, João Pedro Fernandes, Rian Santos, Caio Oliveira, Ricardo Franco:
A Semi-Automated Pipeline for Generating and Annotating Colorectal Polyp Data for Semantic Segmentation Tasks. 647-654 - Mingcong Cao, Yucheng Huang, Suat Gumussoy, Ümit Y. Ogras:
Mamba World Model for RL: Enhancing Long-term Memory in Model-based Reinforcement Learning. 655-662 - Mehrdad Moradi, Marco Grasso, Bianca Maria Colosimo, Kamran Paynabar:
Single-Step Reconstruction-Free Anomaly Detection and Segmentation via Diffusion Models. 663-670 - Areen Patil, Rehaan Kadhar:
Adaptive Kernel Selection: Performance Pattern Analysis Across Network Depth Hierarchies and Dataset Complexities. 671-676 - Sharan Sukesh:
DeepTime: Meta-Learning Temporal Dynamics for Salesforce Opportunity Forecasting. 677-681 - Dong Hyun Roh, Rajesh Kumar:
Active Authentication via Korean Keystrokes Under Varying LLM Assistance and Cognitive Contexts. 682-689 - Jayetri Bardhan, Bushi Xiao, Daisy Zhe Wang:
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization. 690-697 - Abu Fuad Ahmad, Jiefei Liu, Qixu Gong, Satyajayant Misra, Jayashree Harikumar:
Feature Selection via Class-wise Mean Deviation. 698-703 - M. Shifat Hossain, Sumit Kumar Jha, Hao Zheng, Rickard Ewetz:
Multitask Contrastive Learning using Task-Wise Training and Partitioned Embedding Space. 704-711 - Halima Audu, Varun Kumar Reddy Dodda, Ruth Agada, Jie Yan, Anne Osano, George Ude, Supriyo Ray:
Semantic Segmentation of Kale Plant Images Using Deep Learning for Phenotypic Feature Analysis. 712-719 - Geraldo Gomes da Cruz Júnior, Robson do Nascimento Fidalgo:
Lacium Flower: Learning Phonological Representations for Literacy Tasks in Low-Resource Scenarios for Brazilian Portuguese. 720-725 - Salomon Ibarra, Frida Cantu, Kaixiong Zhou, Li Zhang:
Gradient-based Model Shortcut Detection for Time Series Classification. 726-731 - Geraldo Gomes Da Cruz Júnior, Robson do Nascimento Fidalgo:
A Multilingual Evaluation of Large Language Models for Generating Phonological Exercises via Linguistic Heuristic Guidance. 732-737 - Eman Almotairi, Danda B. Rawat:
A Multi-Feature Fusion Approach to Learner Engagement Detection. 738-741 - Ethan Pedersen, Jacob W. Crandall:
Can a Machine Learning Model Consistently Learn Profitable Trading Strategies in the Forex Market? 742-747 - Jake S. Rhodes, Scott D. Brown, J. Riley Wilkinson:
Localized Uncertainty Quantification in Random Forests via Proximities. 748-753 - Parth Agarwal, Sangaa Chatterjee, Md Faisal Kabir, Suman Saha:
Explainable Gait Abnormality Detection Using Dual-Dataset CNN-LSTM Models. 754-759 - Erin Lanus, Daniel Wolodkin, Laura J. Freeman:
Hierarchical Scoring for Machine Learning Classifier Error Impact Evaluation. 760-765 - Shaurya Mathur, Shreyas Bellary Manjunath, Nitin Kulkarni, Alina Vereshchaka:
Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression. 766-771 - Shresth Mishra, Daniel Cionca, Raunak Pradhan:
A Novel Framework for Vehicle Detection and Dynamic Light Control via YOLOv8n on Edge-Deployed IMX500. 772-777 - Gunner Stone, Youngsook Choi, Alireza Tavakkoli, Ankita Shukla:
Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds. 778-783 - Maruf Hassan, Steven Davy, Muhammad Zawish, Owais Bin Zuber, Nouman Ashraf:
NeuCODEX: Edge-Cloud Co-Inference with Spike-Driven Compression and Dynamic Early-Exit. 784-789 - Tyler Trogden, Dan Ventura:
An Empirical Study on the Application of TDA to Deep Neural Networks. 790-795 - Akash Chavan, Sumit Kumar Jha, Sunny Raj:
Post-training Quantization without BN Statistics: A Data Free Approach. 796-801 - Gunner Stone, Sushmita Sarker, Alireza Tavakkoli:
Guided and Unguided Conditional Diffusion Mechanisms for Structured and Semantically-Aware 3D Point Cloud Generation. 802-807 - Aruna Jithesh, Chinmayi Karumuri, Venkata Kiran Reddy Kotha, Meghana Doddapuneni, Taehee Jeong:
Diabetic Retinopathy Lesion Segmentation through Attention Mechanisms. 808-813 - Alyssa Pinnock, Shakya Jayakody, Kawsher A. Roxy, Md Rubel Ahmed:
EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical Model. 814-819 - P. Djagba, V. Rakotonarivo, A. Zeleke:
Hybrid Deep Learning Models for the Prediction of Some Experimental Quantities of Molecules. 820-825 - Monitha Davuluri, Manish Vikrama, Rashida Hasan:
An Autoencoder-based Feature Selection with Optimized Reconstruction Loss and Feature Scoring. 826-831 - Abdullah Tariq Choudhry, Vivek K. Pallipuram:
Neural Oceans: Physics-Informed Deep Learning for Underwater Marine Debris Forecasting. 832-837 - Shelly Gupta, Jovan Andjelkovic, Abhudaya Shrivastava, Atsuhiro Muto, Zoran Obradovic:
Physics-Informed Neural Networks for Soil Moisture Modeling and Landslide Assessment. 838-841 - Chinh Hoang, Youssef Nassef, Mohammad Rashedul Hasan:
Towards Reliable Reasoning in Vision-Language Models. 842-847 - David Cong, Keyan Guo, Hongxin Hu:
Toward Unified Moderation of Cyberbullying Across Social Media and Video Games. 848-852 - Onur Berk Tore, Ibrahim Samil Yalçiner, Server Calap:
ShelfRectNet: Single View Shelf Image Rectification with Homography Estimation. 853-856 - Mohammad Abdul Hafeez Khan, Marcello Mattei Di Eugenio, Benjamin Diaz, Ruth E. White, Siddhartha Bhattacharyya, Venkat Keshav Chivukula:
LVADNet3D: A Deep Autoencoder for Reconstructing 3D Intraventricular Flow from Sparse Hemodynamic Data. 857-862 - Onat Güngör, Ishaan Kale, Jiasheng Zhou, Tajana Rosing:
LIGHT-HIDS: A Lightweight and Effective Machine Learning-Based Framework for Robust Host Intrusion Detection. 863-868 - Onat Güngör, Roshan Sood, Harold Wang, Tajana Rosing:
AQUA-LLM: Evaluating Accuracy, Quantization, and Adversarial Robustness Trade-offs in LLMs for Cybersecurity Question Answering. 869-874 - Prajit T. Rajendran, Fabio Arnez, Huáscar Espinoza, Agnès Delaborde, Chokri Mraidha:
Oracle-Guided Soft Shielding for Safe Move Prediction in Chess. 875-880 - Jake S. Rhodes, Adam G. Rustad, Sofia Pelagalli Maia, Evan Thacker, Hyunmi Choi, Jose Gutierrez, Tatjana Rundek, Ben Shaw:
Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification. 881-886 - Marian Renz, Felix Igelbrink, Martin Atzmueller:
Integrating Prior Observations for Incremental 3D Scene Graph Prediction. 887-892 - Hambal Tella, Prajyot Patil, Maria Kyrarini:
Robot Learning Framework using Behavioral Cloning and Gaussian Mixture Model (BC-GMM) for Sorting Tasks. 893-898 - Robert Morain, Dan Ventura:
A Reward-Driven Controller for Text Generation with Black-Box Language Models. 899-904 - Ayomide Afolabi, Ramazan Aygun, Truong X. Tran:
Difficulty-Driven Fine Training for WisdomNet. 905-910 - Mark Fullton, Xiaojun Ruan, Xunfei Jiang, Mahdi Ebrahimi:
Reducing Exposure Bias in Deep Learning Models for GPU Temperature Prediction in Data Centers. 911-916 - Samuel Matloob, Ayan Dutta, O. Patrick Kreidl, Swapnoneel Roy, Ladislau Bölöni:
Bounomodes: the grazing ox algorithm for exploration of clustered anomalies. 917-922 - Farhad Pourkamali-Anaraki:
Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons. 923-928 - Joshua Lockart, Venkata Shaurya Mantrala, Vaibhav Reddy Dandala, Sokhna Amar, Emily Dunkel, Sambit Bhattacharya:
LUMIN: Language-based Understanding and Multimodal Interface for NASA PDS. 929-935 - Purbesh Mitra, Sennur Ulukus:
MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs. 936-941 - An Vuong, Thinh Nguyen:
Perception-based multiplicative noise removal with Diffusion models. 942-947 - Steven Tate, Randy C. Paffenroth:
Unitary Vision: Deep Learning with Information Decorrelation for Signal Reconstruction. 948-953 - Neha Ananthavaram, Taehyung Wang:
Energy Efficiency for Automobile A/C Systems Using Machine Learning Algorithms. 954-959 - Sebastião Alves de Jesus Filho, Alvaro Santana Santos, Rafael Dias Araújo, Rodrigo Sanches Miani:
Applying LLMs to the Classification of Cybersecurity Incident Tickets in a Few-Shot Scenario. 960-965 - Anbi Guo, Mahfuza Farooque:
Memory-Augmented Log Analysis with Phi-4-mini: Enhancing Threat Detection in Structured Security Logs. 966-971 - Hassan Tavakoli, Thinh Nguyen, Bella Bose:
Information Theoretic Threshold Tuning in Parallel Stochastic Quantizer Architectures ∗. 972-977 - Christopher Illg, Oliver Nelles:
Axes-Oblique Partitioning for Local Model Networks with RFIR Models. 978-983 - Chenxi Guo, Andreas Hubert, Konrad Doll:
Adaptive Contrastive Learning for Understanding Procedural Activities. 984-989 - Munim Ahmed, M. M. Mahbubul Syeed, Jahid Hasan Rony, Razib Hayat Khan, Mohammad Faisal Uddin, Safiqul Islam, Mohammad Khursheed Alam:
Deep Learning for Third Molar Segmentation: An Empirical Analysis on Dental Radiographs. 990-995 - Bhumi Patel, Lemba Priscille Ngana, Atefehsadat Haghighathoseini, Janusz Wojtusiak:
Influence of Stratified Variable Encoding on Quality of Mortality Prediction in Systolic Heart Failure. 996-999 - Gulsum Alicioglu, Bo Sun:
Explainable Artificial Intelligence in Robotics: A Review of Applications and Methods. 1000-1005 - Michael R. Smith, Eva Domschot:
From Uncertainty to Clarity: Projecting Points onto Classification Boundaries Using Distance Metrics. 1006-1009 - Ai Kagawa, Judy Min, Nancy Min:
Bilevel-Optimized Clustered and Distributed Federated Learning Secured by Blockchain for Building Energy Forecasting. 1010-1015 - Muhammad-Momin Salman, Christoph Gerhardt, Wolfgang Broll:
Leveraging Diffusion-Based Augmentation for Robust Semantic Segmentation. 1016-1021 - Aniruddha Tiwari, Zhen Ni, Xiangnan Zhong, Ahmed Imteaj:
A New Federated Learning Approach for Imbalanced Medical Image Datasets. 1022-1027 - Eiraj Saqib, Oscar Artur Bernd Berg, Isaac Sánchez Leal, Irida Shallari, Silvia Krug, Axel Jantsch, Mattias O'Nils:
Efficient Edge Inference via Entropy and Magnitude-Aware Feature Map Pruning in Partitioned CNNs. 1028-1033 - Hugo Garrido-Lestache Belinchon, Jeremy Kedziora:
Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies. 1034-1039 - Jonathan Keane, Sam Keyser, Jeremy Kedziora:
Strategy Masking: A Method for Guardrails in Value-based Reinforcement Learning Agents. 1040-1045 - Yuhang Zhang, Zhiyao Zhang, Marcos Quiñones-Grueiro, William Barbour, Gautam Biswas, Daniel B. Work:
Offline Reinforcement Learning Benchmark for Variable Speed Limit Control with Real-World Dataset. 1046-1051 - Pegah Mavaie, Ravigopal Vennelakanti:
Learning from Incomplete Logs: Dual-Task Failure Prediction for Natural Gas Compressor Units. 1052-1057 - Robert D. Ward, Xinyuan Wang:
Detecting Sliver DNS Command and Control (C2) Beaconing Using LSTM Neural Networks. 1058-1063 - Rodrigo Bernabé Silveira, Rodrigo Sanches Miani, Paulo Henrique Ribeiro Gabriel:
Event Detection in Dark Web and Surface Web Forums using Machine Learning. 1064-1069 - Reza Mansouri, Dustin J. Kempton, Pete Riley, Rafal A. Angryk:
Toward Data-Driven Surrogates of the Solar Wind with Spherical Fourier Neural Operator. 1070-1075 - Carter Capetz, Ryan Solgi, William Sheppard:
Iterative Tensorization of Physics-Informed Neural Networks. 1076-1079 - Manas V. Shetty, John Springer, Sudip Vhaduri, Zachary Hass, Jessica E. Huber, Brad H. Rosen, Jennifer A. Coddington:
Detecting Patient and Healthy People's Personalized Breathing Patterns with Few-Shot Learning. 1080-1085 - Md. Nahid Hasan, Md. Sultan Mahmud, Clifford Jones, Saroj Baral, Khem Poudel:
A Data-Driven Approach for Sleep Stage Detection Using Machine Learning and Feature Selection Algorithms. 1086-1091 - Kevin Hickey, Ricardo Flores, Avantika Shrestha, Elke A. Rundensteiner:
A Self-Supervised Auxiliary Learning Approach for Effective Depression Screening. 1092-1097 - Sharan Sukesh:
Optimizing Equitable Access to Opportunities within Salesforce Networks using Reinforcement Learning-Driven Graph Augmentation. 1098-1103 - Mahmoud Abusaqer, Khalid Hasan, Jamil Saquer:
Multiclass Hate Speech Detection: Evaluating 303 Model Configurations Across Traditional Machine Learning, Deep Learning, and Transformer Approaches. 1104-1109 - Catherine Hoier, Khandaker Mamun Ahmed:
Structural Damage Detection Using AI Super Resolution and Vision Language Model. 1110-1115 - Jonas Rosengren, Joel Brynielsson, Fredrik Johansson, Patrik Jonell:
Jailbreaking Large Language Models: Safety Alignment, Response Quality, Computational Cost. 1116-1123 - Brian Bowers, Smita Khapre, Jugal Kalita:
Analyzing Code Injection Attacks on LLM-based Multi-Agent Systems in Software Development. 1131-1136 - Asaki Kataoka, Nipun Ravindu Wickramanayaka, Yu Togashi, Masafumi Oizumi:
Spontaneous organization of diverse human color representations: from trichromacy to dichromacy in neural networks trained with retina-like inputs. 1137-1142 - Armin Moghadam, Sahib Bhatia, Fatemeh Davoudi Kakhki, Hiroyuki Ichikawa:
Design and Validation of a YOLOv8 Synthetic Data Generation Pipeline for Surface Defect Detection in Manufacturing. 1143-1150 - Md. Hasan Imam Bijoy, Dewan Aminul Islam, Susmoy Biswas, Mohammad Shamsul Arefin, Md. Zahid Hasan, Mohammad Shorif Uddin:
An Explainable Dynamic Few-Shot Learning Framework for GERD and Polyp Detection in Endoscopic Imaging. 1151-1158 - Grant King, Musa Azeem, Savannah Noblitt, Ramtin Zand, Homayoun Valafar:
Rep Smarter, Not Harder: AI Hypertrophy Coaching with Wearable Sensors and Edge Neural Networks. 1165-1172 - Marcelo dos Santos, João C. Neves, David Menotti:
Beyond a Single Perspective: Neural Fusion of Lévy-Generated Super-Resolution Images for Robust Face Recognition. 1173-1180 - Dongyi Ma, Aitian Ma, Sirui Luo, Martin de Jode, Andrew Hudson-Smith, Mo Sha:
LoRaDoctor: LLM-Driven Diagnosis and Adaptive Policy Optimization for Reducing Packet Error Rate in LoRaWAN Networks. 1181-1188 - Gabriel Maldonado, Narges Rashvand, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya, Hamed Tabkhi:
Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps. 1189-1196 - Shivm Mehta, Vaishali Maheshkar, Charuvahan Adhivarahan, Karthik Dantu:
CLIPS: Continual Learning Infrastructure for Plastics Sorting. 1197-1204 - Francisco Lucas Falcao Pereira, Victor A. E. de Farias, Felipe T. Brito, João Paulo Pordeus Gomes, Javam C. Machado:
Improving Long-Term HDD RUL Prediction Using a Novel Feature Engineering Approach. 1205-1210 - Christoffer Limér, Joel Brynielsson, Mika Cohen, Felix Rydell:
Anti-Submarine Warfare Planning Using Public Belief States and Self-Play. 1211-1218 - Shiquan He, Randy C. Paffenroth:
Iterative Denoising Autoencoders with Adaptive Iterations Trained Using Sum Iteration Losses. 1219-1225 - Emam Hossain, Muhammad Hasan Ferdous, Devon Dunmire, Aneesh Subramanian, Md. Osman Gani:
Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift. 1226-1233 - Akash Kumar Panda, Olaoluwa Adigun, Bart Kosko:
Causal Autoencoder-like Generation of Feedback Fuzzy Cognitive Maps with an LLM Agent. 1234-1241 - Anton Ljungar, Sofia Reineck, Edward Tjörnhammar, Sebastian Öberg:
Improving Geolocalization with Social Media Captions: A Retrieval-Based Approach. 1242-1248 - José Medina, Helena Sokk, Amnir Hadachi:
Semi-Dense Feature Matching via Mamba-Based Knowledge Distillation. 1249-1254 - Nadine Matondo-Mvula, Khaled Elleithy:
QSeg: Quantum - Classical Segmentation Model for Breast Cancer Images. 1255-1260 - Raju Dhakal, Prashant Shekhar, Laxima Niure Kandel:
Adversarial-Resilient RF Fingerprinting: A CNN-GAN Framework for Rogue Transmitter Detection. 1261-1266 - Sai Deepthi Yeddula, Abhijeet Bhattacharya, Chen Jiang:
iDiffODE: Learning Continuous-Time Latent Dynamics for Generative Spatiotemporal Modeling. 1273-1278 - Hossein Shokouhi-Nejad, Mackenzie Chase, Roozbeh Razavi-Far:
Learning from Execution Graphs: A Graph Neural Network Approach to Malware Detection. 1279-1284 - Geunrok Oh, Sohyun Han, Kijong You, Jongsung Na, Kyungsik Song, Sejeong Jang, Yuqi Zhang, Haonan Luo:
HierTTF: Hierarchical Two-Stage Time-to-Failure Prediction for Datacenter SSDs Using Telemetry. 1285-1290 - Sayak Chakrabarty, Shahriyar Keshavarz, Yuwei Mao, Andrew C. E. Reid, Alok N. Choudhary, Ankit Agrawal:
AI-Driven Prediction of Material Deformation: Stress-Strain Curves Faster Than Crystal Plasticity Finite Element Simulation. 1291-1294 - Supriya Khadka, Xiaorui Jiang, Vasile Palade:
Automated Clinical Coding with Multiclass ICD Prediction. 1295-1300 - Tori Wright, Bulent Soykan, Sean C. Mondesire:
Real-Time Remaining Useful Life Prediction with LSTM Priority Resampling. 1301-1306 - Salah Eddine Choutri, Prajwal Chauhan, Othmane Mazhar, Saif Eddin Jabari:
Monte Carlo-Type Neural Operator for One-Dimensional Differential Equations. 1307-1312 - Tejaswi Vemuri, Trung Dinh, Zonglin Yang, Thiruvarangan Ramaraj, Joann Mudge, Brendan Mumey, Indika Kahanda:
Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning. 1313-1317 - Mykle Buhrow, Ian Nie, Naeem Seliya, Joseph C. Wildenberg, Rahul Gomes:
YOLO-Based Object Detection for Automated Identification of IVC Filters in Abdominal CT Imaging. 1318-1323 - Nicholas Josselyn, Walter Gerych, Biao Yin, Ziming Zhang, Elke A. Rundensteiner:
Ensembles of Statistically Independent Models: A Method for Semi-Supervised Domain Adaptation. 1324-1329 - Seyed Hamidreza Nabaei, Zeyang Zheng, Dong Chen, Arsalan Heydarian:
Multimodal Foundation Models for Zero-Shot Water Stress Forecasting in Precision Agriculture. 1330-1337 - Yen-Han Chiang, Pablo Mollá, Yi-Lun Pan, Yi-Ju Tseng, Vincent S. Tseng:
Prompt Learner for Industrial Anomaly Detection: Towards Generalizable Multimodal Defect. 1338-1345 - Ziba Khani, Reza Mansouri, Rafal A. Angryk, Berkay Aydin:
A Multimodal Machine Learning Approach for Solar Flare Prediction Using Polarity Inversion Lines Data with Low-Rank Fusion. 1346-1353 - Bibek Koirala, Anas M. R. Alsobeh, Namariq Dhahir, Amer AbuGhazaleh:
Background-Aware Instance Segmentation for Early Detection of E. coli and Salmonella in Time-Stamped Microscopy Images. 1354-1361 - Md. Jueal Mia, M. Hadi Amini:
JaiLIP: Jailbreaking Vision-Language Models via Loss Guided Image Perturbation. 1362-1368 - Mohd. Farhan Israk Soumik, Hussein Zangoti, Ebrahim Maghsoudlou, Awal Ahmed Fime, Ahmed Imteaj, Abdur R. Shahid:
Privacy-Preserving Multimodal Stress Detection from Wearables with Attention Fusion and Federated Learning. 1369-1375 - Alex Pissinou Makki, Vahid Tarokh, Louis Lago Enamorado, Carlos Carroz, Miguel Garcia, Niki Pissinou:
Pi-talk: Edge-Only, Adapter-Tuned Multimodal Small Language Model for Safe, Real-Time In-Vehicle Dialogue. 1376-1383 - Tahmid Anjum Bin Haroon, Md. Golam Kibria, Md Belayat Hossain:
Morphology-Inspired Optimization with Deep Learning for Sedimentary Particle Segmentation in Petrographic Microscope Images. 1384-1389 - Jugal Gajjar, Kamalasankari Subramaniakuppusamy, Relsy Puthal, Kaustik Ranaware:
SecureFixAgent: A Hybrid LLM Agent for Automated Python Static Vulnerability Repair. 1390-1395 - Tom Pawelek, Raj Patel, Charlotte Crowell, Noorbakhsh Amiri Golilarz, Sudip Mittal, Shahram Rahimi, Andy Perkins:
LLMZ+: Contextual Prompt Whitelist Principles for Agentic LLMs. 1396-1402 - Sakhawat Hossan, Jing Deng:
Detection of LLM Hallucinations Using Late Internal Representations. 1403-1410 - Md. Zarif Hossain, Abdur R. Shahid, Ahmed Imteaj:
Breaking and Securing Vision-Language Models: An Adversarial Robustness Study. 1411-1416 - Jonathan O'Berry, Indika Kahanda, Upulee Kanewala:
Improving Robustness of Large Language Models Used in Healthcare Through Prompt Engineering. 1417-1422 - Badhan Chandra Das, Md. Tasnim Jawad, Md. Jueal Mia, M. Hadi Amini, Yanzhao Wu:
Jailbreaking Large Vision Language Models in Intelligent Transportation Systems. 1423-1429 - Amulya Suravarjhula, Rashi Chandrashekhar Agrawal, Sakshi Jayesh Patel, Rahul Gupta:
Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation. 1430-1437 - Cássia C. S. Rosa, Renato Porfirio Ishii, Fábio Henrique Viduani Martinez:
Black drama: between hate speech and algorithmic racism. 1438-1445 - Zag ElSayed, Craig A. Erickson, Ernest V. Pedapati:
MCP-AI: Protocol-Driven Intelligence Framework for Autonomous Reasoning in Healthcare. 1446-1451 - Mohammad Dehghanmanshadi, Wallapak Tavanapong:
Reducing Domain Gap with Diffusion-Based Domain Adaptation for Cell Counting. 1452-1459 - Shriyank Somvanshi, Pavan Hebli, Gaurab Chhetri, Subasish Das:
Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models. 1460-1465 - Yago Romano Martinez, Jesse Roberts:
LLMs as Agentic Cooperative Players in Multiplayer UNO. 1466-1472 - Rajan Das Gupta, Md. Kishor Morol, Nafiz Fahad, Md. Tanzib Hosain, Sumaya Binte Zilani Choya, Md. Jakir Hossen:
BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring. 1473-1478 - Valentin Schmidberger, Manuel Eberhardinger, Setareh Maghsudi, Johannes Maucher:
Generation of Programmatic Rules for Document Forgery Detection Using Large Language Models. 1479-1486 - Rajesh Pasupuleti, Ravi Vadapalli, Christopher Mader, Subhan Shakoor:
LLM Chatbot for Autonomous User Support in High-Performance Computing (HPC). 1487-1493 - Hamed Jelodar, Mohammad Meymani, Parisa Hamedi, Tochukwu Emmanuel Nwankwo, Samita Bai, Roozbeh Razavi-Far, Ali A. Ghorbani:
NLD-LLM: A systematic framework for evaluating small language transformer models on natural language description. 1494-1500 - Carlos Flores-Molina, Alex Bordetsky, Marko Orescanin:
Language Models as Decision Support Systems for Directional Network Maneuvering. 1501-1506
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