| 2025 | Estimating the Learning Capacity of Bacterial Metabolic Networks. | Bastien Mollet, Paul Ahavi, Antoine Cornujols, Jean-Loup Faulon, Evelyne Lutton, Alberto Tonda |
| 2025 | An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks. | Miro Miranda, Francisco Alejandro Mena, Andreas Dengel |
| 2025 | Performative Drift Resistant Classification Using Generative Domain Adversarial Networks. | Maciej Makowski, Brandon Gower-Winter, Georg Krempl |
| 2025 | Local-Global Data Augmentation for Contrastive Learning in Static Sign Language Recognition. | Ariel Basso Madjoukeng, Edith Belise Kenmogne, Pierre Poitier, Benot Frnay, Jrme Fink |
| 2025 | Counterintuitive Behavior of Clustering Quality: Findings for K-Means on Synthetic and Real Data. | Marco Loog, Jesse H. Krijthe, Manuele Bicego |
| 2025 | Synthetic Tabular Data Detection in the Wild. | G. Charbel N. Kindji, Elisa Fromont, Lina Maria Rojas-Barahona, Tanguy Urvoy |
| 2025 | Relevance-Aware Algorithmic Recourse. | Dongwhi Kim, Nuno Moniz |
| 2025 | Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM. | Noor Khalal, Abdallah Alaa-Eddine Djamai, Imed Keraghel, Mohamed Nadif |
| 2025 | BOWSA: A Contribution of Sensitivity Analysis to Improve Bayesian Optimization for Parameter Tuning. | Lise Kastner, Bertrand Cuissart, Jean Luc Lamotte |
| 2025 | Meta-learning and Data Augmentation for Stress Testing Forecasting Models. | Ricardo Incio, Vtor Cerqueira, Marlia Barandas, Carlos Soares |
| 2025 | Local Subgroup Discovery on Attributed Network Graphs. | Carl Vico Heinrich, Tommie Lombarts, Jules Mallens, Luc Tortike, David Wolf, Wouter Duivesteijn |
| 2025 | Pragmatic Paradigm for Multi-stream Regression. | Nuwan Gunasekara, Slawomir Nowaczyk, Sepideh Pashami |
| 2025 | A Constrained Declarative Based Approach for Explainable Clustering. | Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao |
| 2025 | Imposing Constraints in Probabilistic Circuits via Gradient Optimization. | Soroush Ghandi, Benjamin Quost, Cassio de Campos |
| 2025 | Obtaining Example-Based Explanations from Deep Neural Networks. | Genghua Dong, Henrik Bostrm, Michalis Vazirgiannis, Roman Bresson |
| 2025 | Vocabulary Quality in NLP Datasets: An Autoencoder-Based Framework Across Domains and Languages. | Vu Minh Hoang Dang, Rakesh M. Verma |
| 2025 | Make Literature-Based Discovery Great Again Through Reproducible Pipelines. | Bojan Cestnik, Andrej Kastrin, Boshko Koloski, Nada Lavrac |
| 2025 | Extracting Moore Machines from Transformers Using Queries and Counterexamples. | Rik Adriaensen, Jaron Maene |
| 2024 | Amplified Contribution Analysis for Federated Learning. | Maciej Krzysztof Zuziak, Salvatore Rinzivillo |
| 2024 | Implementing Deep Learning Models for Imminent Component X Failures Prediction in Heavy-Duty Scania Trucks. | Jie Zhong, Zhenkan Wang |
| 2024 | Empirical Comparison Between Cross-Validation and Mutation-Validation in Model Selection. | Jinyang Yu, Sami Hamdan, Leonard Sasse, Abigail Morrison, Kaustubh R. Patil |
| 2024 | RMI-RRG: A Soft Protocol to Postulate Monotonicity Constraints for Tabular Datasets. | Iko Vloothuis, Wouter Duivesteijn |
| 2024 | S+t-SNE - Bringing Dimensionality Reduction to Data Streams. | Pedro C. Vieira, Joo P. Montrezol, Joo T. Vieira, Joo Gama |
| 2024 | Kernel Corrector LSTM. | Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, Joo Mendes-Moreira |
| 2024 | Building Brownian Bridges to Learn Dynamic Author Representations from Texts. | Enzo Terreau, Julien Velcin |