| 2025 | Evaluating Clustering Quality in Centroid-Based Clustering Using Counterfactual Distances. | Georgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas |
| 2025 | EDC: Equation Discovery for Classification. | Guus Toussaint, Arno J. Knobbe |
| 2025 | Exploring Curriculum Learning for Languages: Lessons from Regular Language Tasks. | Vanessa Toborek, Florian Seiffarth, Sebastian Mller, Tams Horvth, Christian Bauckhage |
| 2025 | Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale. | Pol Timmer, Koen Minartz, Vlado Menkovski |
| 2025 | Hubris Benchmarking with AmbiGANs: Assessing Model Overconfidence with Synthetic Ambiguous Data. | Ctia Teixeira, Ins Gomes, Carlos Soares, Jan N. van Rijn |
| 2025 | Selecting Unlabeled Data for Tabular Self-Supervised Learning. | Sintija Stevanoska, Katharina Dost, Christian L. Camacho Villaln, Saso Dzeroski |
| 2025 | Exploring the Design Space of Fair Tree Learning Algorithms. | Kiara Stempel, Mattia Cerrato, Stefan Kramer |
| 2025 | Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space. | Carlos Soares, Paulo J. Azevedo, Vtor Cerqueira, Lus Torgo |
| 2025 | Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection. | Francesco Scala, Massimo Guarascio, Carlo Parrotta, Luigi Pontieri |
| 2025 | Fine-Tuning Transformer-Based LLMs in Hierarchical Text Classification. | Joana Santos, Nuno Silva, Carlos Ferreira, Joo Gama |
| 2025 | Extending Model-Agnostic XAI Methods for Regression Tasks in Spatio-Temporal Domains. | Matteo Salis, Gabriele Sartor, Marco Pellegrino, Rosa Meo, Stefano Ferraris, Abdourrahmane M. Atto |
| 2025 | Maximum Entropy Models for Unimodal Time Series: Case Studies of Universe 25 and St. Matthew Island. | Sabin Roman |
| 2025 | A Variational Autoencoder for N-Ary Trees. | Martin Percinic, Sebastian Meznar, Ljupco Todorovski, Saso Dzeroski |
| 2025 | Score Matching on Large Geometric Graphs for Cosmology Generation. | Diana-Alexandra Onutu, Yue Zhao, Joaquin Vanschoren, Vlado Menkovski |
| 2025 | Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks. | Liliana Martirano, Francesco Scala, Carmela Comito, Luigi Pontieri |
| 2025 | Neuron-Level Architecture Search for Efficient Model Design. | Artem Lunev, Nikolay O. Nikitin |
| 2025 | Adaptive Isolation Forest. | Justin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet |
| 2025 | Similarity Learning for Spectral Clustering. | Vangjush Komini, Nadezhda Koriakina, Debaditya Roy, Sarunas Girdzijauskas |
| 2025 | Learning Tree-Structured Distributions. | Fadwa Idlahcen |
| 2025 | A Contextual Bandit Algorithm for Recommending Item Sets with High Sum Diversity. | Masaki Hashimoto, Atsuyoshi Nakamura |
| 2025 | FoodSEM: Large Language Model Specialized in Food Named-Entity Linking. | Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Saso Dzeroski, Barbara Korousic-Seljak, Tome Eftimov |
| 2025 | CACTUS: A Context-Aware Framework for Counterfactual Explanations Across Diverse Prediction Domains. | Diego Garca-Prez, Zhendong Wang, Jos M. Enguita-Gonzalez |
| 2025 | Aspect-Based Few-Shot Learning. | Tim van Engeland, Lu Yin, Vlado Menkovski |
| 2025 | Explaining Deep Neural Networks with Example and Pixel Attribution. | Genghua Dong, Henrik Bostrm, Roman Bresson, Amr Alkhatib |
| 2025 | From Reviews to Results: Generative AI for Review-Driven Product and Service Comparisons. | Cristian Cosentino, Merve Gndz-Cre, Fabrizio Marozzo, Sule ztrk-Birim |