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ORCID12th DSAA 2025: Birmingham, United Kingdom
- 12th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2025, Birmingham, United Kingdom, October 9-12, 2025. IEEE 2025, ISBN 979-8-3315-1179-1
- Hao-Cheng Ni, Shiou-Chi Li, Jen-Wei Huang:
Metapath-Free Heterogeneous Network Embedding via Heterogeneous Adjacency Matrix Reconstruction Based Mask Graph Autoencoders and Semantic Relation Aggregation. 1-10 - Loong Kuan Lee, Thore Gerlach, Johannes Knaute, Florian Gerhardt, Patrick Völker, Tomislav Maras, Alexander Dotterweich, Nico Piatkowski:
Multi-Objective Quantum Power System Redispatch. 1-12 - Ataollah Kamal, Matej Hladis, Jérémie Topin, Marc Plantevit, Sébastien Fiorucci, Céline Robardet:
Explainability of Molecular Graph Neural Network. 1-10 - Sameen Mansha, Hamza Mahmood, Anne Håkansson, Faisal Kamiran, Vladimir Vlassov:
Reproducibility and Case Sensitivity of LLMs for Anonymizing Depressed Tweets. 1-10 - Mohammadreza Sediqin, Shlomo Engelson Argamon:
RST-NDAS:RST Nuclei for Discourse-Aware Abstractive Summarization. 1-5 - Sónia Teixeira
, Ana Rita Nogueira, João Gama:
Unveiling Fairness and Performance of Causal Discovery. 1-10 - Arshveer Kaur, Poonam Goyal, Vansh Bansal, Deep Pandya, Navneet Goyal:
SpInN: A Time Series Foundation Model for Spectral Indices Recommendation for Earth Observation Applications Using Satellite Data. 1-10 - Chao Pan, Ke Tang, Qing Li, Xin Yao:
Rethinking RobustBench: Is High Synthetic-Test Data Similarity an Implicit Information Advantage Inflating Robustness Scores? 1-10 - Sadia Tabassum, Leandro L. Minku:
Hyperon: An Online Hyperparameter Tuning Approach for Data Stream Learning. 1-10 - Maike Holtkemper, Christian Beecks:
Mind the Gap: Validating System Requirements for Competence-Based Decision Support in Data Science Projects. 1-5 - Amin Karami:
PSM: Proactive Spill Mitigation in PySpark. 1-10 - Elouan Vincent, Alexandre Dréan, Julien Perez, Marc Plantevit, Céline Robardet:
Diffusion for Explainable Unsupervised Anomaly Detection. 1-10 - Revalda Putawara, Zakiatul Wildani, Nur Mazhariya Ulmi, Ayu Mutia, Merysa, Rezky Aulia Yusuf:
Every Tweet Counts? Sentiment Analysis of Public Response Toward Indonesia's Free Nutritious Meal Program. 1-9 - Emilia Siviero, Guillaume Staerman, Stéphan Clémençon, Thomas Moreau:
Numerically Efficient Parametric Inference for Learning Space-Time Hawkes Processes. 1-10 - Erik Schönwälder, Christian Falkenberg, Claudio Hartmann, Wolfgang Lehner:
Abstention is all you need. 1-10 - Alicja Polowczyk, Agnieszka Polowczyk, Antoni Jaszcz, Marcin Wozniak, Dawid Polap:
3D Point Cloud Classification Using Graph Convolutional Network with Multi-Scale Pooling. 1-8 - Kohei Horinouchi, Shimpei Onishi, Toshiyasu Matsushima:
A New Framework for Causal Inference Without Missing Data Analysis: Bayes Optimal Treatment Effect Estimation. 1-5 - Nairouz Mrabah, Mohamed Bouguessa, Sihem Sami:
Scalable Deep Subspace Clustering Network. 1-10 - Tadesse K. Bahiru, Carlos Ordonez, Ioannis A. Kakadiaris:
Data Subcard: Evaluating Privacy, Fairness, Quality, and Protection in Tabular Data, as Part of the System Cards Framework. 1-6 - Abdul Matin, Tanjim Bin Faruk, Shrideep Pallickara, Sangmi Lee Pallickara:
HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss. 1-11 - Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Polap, Marcin Wozniak:
Atrous-CNN with Hierarchical-Based Training Strategy Approach for Decentralized Tasks. 1-8 - Md. Akib Zabed Khan, Dongsheng Luo, Agoritsa Polyzou:
Reasoning with Knowledge Graphs for Trustworthy Course Recommendation. 1-10 - Nikita Gautam, Bipin Paudel, Doina Caragea, Cornelia Caragea:
Semi-Supervised Relation Extraction Informed by Area Under the Margin Ranking and Large Language Models. 1-10 - Md Abrar Jahin, Shahriar Soudeep, Muhammad Firoz Mridha, Nafiz Fahad, Md. Jakir Hossen:
DyCAF-Net: Dynamic Class-Aware Fusion Network. 1-10 - Karla Schäfer, Martin Steinebach:
Generalization in Audio Deepfake Detection: Evaluating ASR Encoder-Based Feature Extraction. 1-5 - Tobias Schneider, Lorenz Sparrenberg, Rafet Sifa:
Predicting Player Churn with LLMs: A Comprehensive Evaluation of World Knowledge and Reasoning. 1-10 - Nitesh Bharot, Priyanka Verma, Rutvij H. Jhaveri, John G. Breslin:
Cybersecurity Recommendations for Planning and Securing Port 4.0 and Maritime Industry Against Cyberattacks. 1-10 - Rama Reddy, Ravi Ilkal, Snehal Soni:
Improving the End to End Purchasing Process in Indirect Procurement. 1-5 - Julius Voggesberger, Peter Reimann, Dennis Treder-Tschechlov, Bernhard Mitschang:
Auto-CEn: AutoML for Classifier Ensembles - Diversity-Based Classifier Selection and Decision Fusion Optimization. 1-10 - Armin Berger, Sarthak Khanna, Lorenz Sparrenberg, Tobias Deußer, David Berghaus, Rafet Sifa:
Reasoning LLMs in the Medical Domain: A Literature Survey. 1-10 - Puyu Wang, Yunwen Lei, Marius Kloft, Yiming Ying:
Optimal Utility Bounds for Differentially Private Gradient Descent in Three-Layer Neural Networks. 1-8 - Priya Tomar, Maximilian Broß, Philipp Feodorovici, Jan Arensmeyer, Philipp Leifels, Aditya Parikh, Hanno Matthaei, Christian Bauckhage, Helen Schneider, Rafet Sifa:
First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery. 1-11 - Leonid Schwenke, Martin Atzmueller:
Evaluating Interpretability Using Logical Relations: Do Saliency Maps Encode Relevant Information? 1-12 - Antoni Jaszcz, Agnieszka Polowczyk, Alicja Polowczyk, Katarzyna Wiltos, Dawid Polap, Marcin Wozniak:
Hybrid Federated Learning Framework with Client - Tailored Attentive Feature Extractor for Agricultural Health Monitoring. 1-7 - Tobias Deußer, Lorenz Sparrenberg, Armin Berger, Max Hahnbück, Christian Bauckhage, Rafet Sifa:
A Survey on Current Trends and Recent Advances in Text Anonymization. 1-9 - Simon Klüttermann, Shubham Gupta, Emmanuel Müller:
Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks. 1-8 - Georg Stefan Schlake, Max Pernklau, Christian Beecks:
Multi Algorithm Selection and Hyperparameter Optimization for Automated Clustering. 1-9 - Sarthak Khanna, Armin Berger, David Berghaus, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa:
Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention. 1-6 - Aurélien Renault, Dominique Gay, Noureddine Yassine Nair Benrekia, Vincent Lemaire, Alexis Bondu:
Automatic Feature Engineering for Time Series Extrinsic Regression: A Comparative Study of Signal Processing Libraries. 1-9 - Erol Gelenbe, Mohammed Nasereddin:
Data Driven Optimum Cyberattack Mitigation. 1-9 - Florian Siepe, Thomas Peter Prinz, Thorsten Papenbrock:
ModelForge: A Metric Approach to Machine Learning Model Consolidation. 1-12 - Piotr Kulczycki, Grzegorz Golaszewski, Tomasz Szumlak, Szymon Lukasik:
Detection (Reconstruction) of Long-Lived Particle Tracks in LHCb Experiment, CERN. 1-10 - Samer Y. Khamaiseh, Deirdre Jost, Anas M. R. Alsobeh, Abdullah S. Al-Alaj, Honglu Jiang:
ADT++: Advanced Adversarial Distributional Training with Class-Wise Robustness. 1-10 - Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Jayadeva:
REFINE: Enabling Efficient and Trustworthy Modeling of Financial Networks via GNN-to-MLP Knowledge Distillation. 1-5 - Jan Marius Stürmer, Marius Graumann, Tobias Koch:
From Engineering Diagrams to Graphs: Digitizing P&IDs with Transformers. 1-11 - Michael Schladt, John Gallagher:
Comparative Analysis of Neural Network Architectures for Telemetry-Driven Malware Behavior Classification. 1-10 - Lorenz Sparrenberg, Tobias Deußer, Armin Berger, Rafet Sifa:
Small and Fast LLMs on Commodity Hardware: Post-Training Quantization in llama. cpp. 1-10 - Mabrouka Salmi, Dalia Atif, Sebastián Ventura:
Enhancing Medical Diagnosis with Instance Hardness-Guided Multi-Level Cross-Validation for Imbalanced Learning. 1-11 - Chun Wai Chiu, Leandro L. Minku:
The Value of Diversity for Dealing with Concept Drift in Class-Imbalanced Data Streams. 1-10 - Jinho Go, Aldhytha Karina Sari, Jiaojiao Jiang, Shuiqiao Yang, Sanjay Kumar Jha:
Fast Training on Dynamic Heterogeneous Information Network for Fake News Detection. 1-10 - Matej Vukovic, Belgin Mutlu, Thomas Kristan, Petra Krahwinkler, Christian Tauber, Stefan Thalmann:
Leveraging Causal Discovery to Tackle Complexity in Model-Based Anomaly Detection: Case-Study from Blast Furnace Operation. 1-10 - Stefano Donné, Jesse Davis, Filip Van Utterbeeck, Mathias Verbeke:
Anomaly Detection Under Contaminated Data: A Weighted Iterative Refinement Framework for Health Monitoring. 1-11 - Leonid Schwenke, Martin Atzmueller:
A Global Dataset-Specific Any-Order Minimal Expectation Baseline for Saliency Scores. 1-10 - Mehmet Emin Aktas, Iraj Moradi, Ibrahim Cosar, Yateeka Goyal, Asya Alyaz, Esra Akbas, Mehmet Ahsen:
Expert Detection on Crowdsourcing Forums via Sheaf Laplacian. 1-10 - Hari Sree Lalitha Vardhini Vanaparthi, Natasha Interlichia, Xudong Liu, Mona Nasseri, Scott A. Helgeson:
EPDD: Electrocardiogram-Based Pulmonary Disease Detector Using Machine Learning. 1-10 - Maike Holtkemper, Christian Beecks:
CA-HIL: A Competency-Aware Framework for Bridging Automation and Human Expertise in Data Science Projects. 1-9 - Edvard A. Khalafyan, Armen E. Allahverdyan, Arshak Hovhannisyan:
Nonnegative Matrix Factorization and the Principle of the Common Cause. 1-10 - Luciano Netto de Lima, Ali Ghaderi, Fabio A. A. Andrade, Carlos Pfeiffer, Youcef Djenouri, Marcos Moura:
Drone Swarm Sensitivity Estimation Using Bayesian Theory for Search and Rescue Operations. 1-10 - Christos Smailis, Carlos Ordonez, Ioannis A. Kakadiaris:
Towards LLM-Guided Healthcare Dataset Harmonization. 1-4 - Sachin Date:
An Event Study Framework for Analyzing Bidirectional Causality Between House Prices and Premium Café Entry. 1-10 - Urmila Gurung, M. S. Mekala, Carlos Francisco Moreno-García, Nikolaus Zolnhofer, Barry Marshall, Eyad Elyan:
Offshore Asset Inspection Redefined: Expert- Validated Deep Learning for Critical Defects. 1-10 - Sayantani Ghosh, Sai Kumar, Niket Kumar:
Enhancing Touchless Sales Inventory and Operation Planning (SIOP) Using Machine Learning for Root Cause Analysis and Risk Mitigation. 1-4 - Adam Kania, Artur Kasymov, Jakub Kosciukiewicz, Artur Górak, Marcin Mazur, Maciej Zieba, Przemyslaw Spurek:
HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields. 1-9 - Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Diverse and Plausible Counterfactual Explanations for Time Series via Latent Space Optimization. 1-10 - Grzegorz Dudek, Witold Orzeszko, Piotr Fiszeder:
Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts. 1-10 - Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire, Killian Le Mau:
Operational Evaluation of Algorithms for Online Streaming Continual Multi-Label Classification. 1-10 - Linxiang Li, Kainan Liu, Xiaojun Ban, Shengkun Xie:
A Comparative Study of Non-Linear Modelling Capabilities of T-S Fuzzy Models and Back-Propagation Neural Networks. 1-10 - Pouya Hosseinzadeh, Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
CACTUS: Cross-Aligned Counterfactual Explanation for Time Series Classification. 1-10 - Hanif Rasyidi, Moshiur Farazi:
Beyond the Pipeline: Analyzing Key Factors in End-to-End Deep Learning for Historical Writer Identification. 1-10 - Shrey Gupta, Avani Wildani, Yang Liu:
Spatially Adaptive PM2.5 Estimation in Low-Sensor Regions Using Variational Gaussian Processes. 1-5 - Muhammad Fawad Akbar Khan, Ludia Eka Feri, Ha Nguyen, Hamid Karimi:
Student-Perceived Cognitive Load of LLM-Generated Programming Exercises. 1-12 - Rawia Bdiwi:
Towards an Explainable-AI Enhanced Predictive Analytics System for Collaborative Learning in Smart Educational Environments. 1-5 - Gregory Everett, Ryan J. Beal, Tim Matthews, Timothy J. Norman, Sarvapali D. Ramchurn:
Evaluating Defensive Influence in Multi-Agent Systems Using Graph Attention Networks. 1-10 - Jie Ou, Xiaowang Li, Yueming Chen, Jiahong Qian, Teng Su, Wenhong Tian:
Efficient and Automatic 3D Parallelism Strategies Search via Contrastive Reinforcement Learning Pretrained Neural Networks. 1-10 - Manuel Dileo, Matteo Zignani, Sabrina Gaito:
A discrete-time deep learning framework for temporal heterogeneous networks forecasting. 1-10
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last updated on 2026-04-17 23:08 CEST by the dblp team
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