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| 2025 | Advances in Intelligent Data Analysis XXIII - 23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7-9, 2025, Proceedings Georg Krempl, Kai Puolamäki, Ioanna Miliou |
| 2025 | An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks. Miro Miranda, Francisco Alejandro Mena, Andreas Dengel |
| 2025 | Assessing the Graph Structure Learning in Graph Deviation Networks. Canberk Ozen, Slawomir Nowaczyk, Prayag Tiwari, Sepideh Pashami |
| 2025 | BOWSA: A Contribution of Sensitivity Analysis to Improve Bayesian Optimization for Parameter Tuning. Lise Kastner, Bertrand Cuissart, Jean Luc Lamotte |
| 2025 | Balancing Global Importance and Source Proximity for Personalized Recommendations Using Random Walk Length. Tsuyoshi Yamashita, Kunitake Kaneko |
| 2025 | Balancing Performance and Scalability of Demand Forecasting ML Models. Mateusz Zarski, Slawomir Nowaczyk |
| 2025 | Bridging Spatial and Temporal Contexts: Sparse Transfer Learning. Daniel Persson, William Wahlberg, Anna Vettoruzzo, Slawomir Nowaczyk |
| 2025 | Counterintuitive Behavior of Clustering Quality: Findings for K-Means on Synthetic and Real Data. Marco Loog, Jesse H. Krijthe, Manuele Bicego |
| 2025 | Credal Knowledge Tracing for Imprecise and Uncertain MCQ. Dorra Sassi, Constance Thierry, David Gross-Amblard |
| 2025 | Detection of Large Language Model Contamination with Tabular Data. Benoît Ronval, Pierre Dupont, Siegfried Nijssen |
| 2025 | Development of Models to Quantify Training Load in Outdoor Running Using Inertial Sensors. Bouke L. Scheltinga, Jasper Reenalda, Jaap H. Buurke, Joost N. Kok |
| 2025 | Estimating the Learning Capacity of Bacterial Metabolic Networks. Bastien Mollet, Paul Ahavi, Antoine Cornuéjols, Jean-Loup Faulon, Evelyne Lutton, Alberto Tonda |
| 2025 | Expanding Polynomial Kernels for Global and Local Explanations of Support Vector Machines. Rikard Vinge, Stefan Byttner, Jens Lundström |
| 2025 | Expertise Prediction of Tetris Players Using Eye Tracking Information. Stijn J. Rotman, Gianluca Guglielmo, Boris Cule, Michal Klincewicz |
| 2025 | Extracting Information in a Low-Resource Setting: Case Study on Bioinformatics Workflows. Clémence Sebe, Sarah Cohen-Boulakia, Olivier Ferret, Aurélie Névéol |
| 2025 | Extracting Moore Machines from Transformers Using Queries and Counterexamples. Rik Adriaensen, Jaron Maene |
| 2025 | Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM. Noor Khalal, Abdallah Alaa-Eddine Djamai, Imed Keraghel, Mohamed Nadif |
| 2025 | Imposing Constraints in Probabilistic Circuits via Gradient Optimization. Soroush Ghandi, Benjamin Quost, Cassio de Campos |
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| 2025 | Local Subgroup Discovery on Attributed Network Graphs. Carl Vico Heinrich, Tommie Lombarts, Jules Mallens, Luc Tortike, David Wolf, Wouter Duivesteijn |
| 2025 | Local-Global Data Augmentation for Contrastive Learning in Static Sign Language Recognition. Ariel Basso Madjoukeng, Edith Belise Kenmogne, Pierre Poitier, Benoît Frénay, Jérôme Fink |
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| 2025 | Meta-learning and Data Augmentation for Stress Testing Forecasting Models. Ricardo Inácio, Vítor Cerqueira, Marília Barandas, Carlos Soares |
| 2025 | Obtaining Example-Based Explanations from Deep Neural Networks. Genghua Dong, Henrik Boström, Michalis Vazirgiannis, Roman Bresson |
| 2025 | Overfitting in Combined Algorithm Selection and Hyperparameter Optimization. Sietse Schröder, Mitra Baratchi, Jan N. van Rijn |
| 2025 | Performative Drift Resistant Classification Using Generative Domain Adversarial Networks. Maciej Makowski, Brandon Gower-Winter, Georg Krempl |
| 2025 | Pragmatic Paradigm for Multi-stream Regression. Nuwan Gunasekara, Slawomir Nowaczyk, Sepideh Pashami |
| 2025 | Relevance-Aware Algorithmic Recourse. Dongwhi Kim, Nuno Moniz |
| 2025 | Semi-supervised Learning with Pairwise Instance Comparisons for Medical Instance Classification. Anne Rother, Till Ittermann, Myra Spiliopoulou |
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| 2025 | The When and How of Target Variable Transformations. Loren Nuyts, Jesse Davis |
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