Table of Contents

• Efficient Probabilistic Modeling of Crystallization at Mesoscopic ScalePol Timmer, Koen Minartz, Vlado Menkovski. 3-16 [doi]
• Score Matching on Large Geometric Graphs for Cosmology GenerationDiana-Alexandra Onutu, Yue Zhao 0016, Joaquin Vanschoren, Vlado Menkovski. 17-31 [doi]
• Maximum Entropy Models for Unimodal Time Series: Case Studies of Universe 25 and St. Matthew IslandSabin Roman. 32-44 [doi]
• Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural NetworksLiliana Martirano, Francesco Scala, Carmela Comito, Luigi Pontieri. 47-62 [doi]
• Learning Tree-Structured DistributionsFadwa Idlahcen. 63-77 [doi]
• From Reviews to Results: Generative AI for Review-Driven Product and Service ComparisonsCristian Cosentino, Merve Gündüz-Cüre, Fabrizio Marozzo, Sule Öztürk-Birim. 78-93 [doi]
• Prompting Neural-Guided Equation Discovery Based on ResidualsJannis Brugger, Viktor Pfanschilling, David Richter 0001, Mira Mezini, Stefan Kramer 0001. 97-112 [doi]
• Bayesian Grammar Refinement for Efficient Equation DiscoveryJure Brence, Saso Dzeroski, Ljupco Todorovski. 113-127 [doi]
• EDC: Equation Discovery for ClassificationGuus Toussaint, Arno J. Knobbe. 128-142 [doi]
• A Variational Autoencoder for N-Ary TreesMartin Percinic, Sebastian Meznar, Ljupco Todorovski, Saso Dzeroski. 143-157 [doi]
• On the Potential of Deep Symbolic Models for Classification ProblemsFlorian Beck, Johannes Fürnkranz, Van Quoc Phuong Huynh. 161-175 [doi]
• Exploring the Design Space of Fair Tree Learning AlgorithmsKiara Stempel, Mattia Cerrato, Stefan Kramer 0001. 176-190 [doi]
• Neuron-Level Architecture Search for Efficient Model DesignArtem Lunev, Nikolay O. Nikitin. 191-203 [doi]
• Similarity Learning for Spectral ClusteringVangjush Komini, Nadezhda Koriakina, Debaditya Roy, Sarunas Girdzijauskas. 207-221 [doi]
• Evaluating Clustering Quality in Centroid-Based Clustering Using Counterfactual DistancesGeorgios Vardakas, Antonia Karra, Evaggelia Pitoura, Aristidis Likas. 222-236 [doi]
• Selecting Unlabeled Data for Tabular Self-Supervised LearningSintija Stevanoska, Katharina Dost, Christian L. Camacho Villalón, Saso Dzeroski. 237-251 [doi]
• Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature SpaceCarlos Soares, Paulo J. Azevedo, Vítor Cerqueira, Luís Torgo. 255-269 [doi]
• tsMIST: Model Sensitivity Analysis with Time Series MorphingAntónia Brito, Moisés Santos, Duarte Folgado, Carlos Soares. 270-285 [doi]
• Explaining Deep Neural Networks with Example and Pixel AttributionGenghua Dong, Henrik Boström, Roman Bresson, Amr Alkhatib. 286-300 [doi]
• Extending Model-Agnostic XAI Methods for Regression Tasks in Spatio-Temporal DomainsMatteo Salis, Gabriele Sartor, Marco Pellegrino, Rosa Meo, Stefano Ferraris, Abdourrahmane M. Atto. 301-315 [doi]
• Enhancing Local Explanations with GAN-Based Neighborhood GenerationLuca Corbucci, Francesca Naretto, Anna Monreale. 316-331 [doi]
• Aspect-Based Few-Shot LearningTim van Engeland, Lu Yin 0006, Vlado Menkovski. 335-346 [doi]
• Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack DetectionFrancesco Scala, Massimo Guarascio 0001, Carlo Parrotta, Luigi Pontieri. 347-362 [doi]
• Adaptive Isolation ForestJustin Jia Liu, Guilherme Weigert Cassales, Fei Tony Liu, Bernhard Pfahringer, Albert Bifet. 363-378 [doi]
• Investigating Delays of Combined Feature and Label Acquisitions on Data StreamsMaik Büttner, Myra Spiliopoulou. 379-391 [doi]
• FoodSEM: Large Language Model Specialized in Food Named-Entity LinkingAna Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Saso Dzeroski, Barbara Korousic-Seljak, Tome Eftimov. 395-410 [doi]
• Multi-domain Validation of LLM-Based Simulators via Interpretable and Latent RepresentationsLuca Coda-Giorgio, Giacomo Fidone, Laura Pollacci. 411-426 [doi]
• Fine-Tuning Transformer-Based LLMs in Hierarchical Text ClassificationJoana Santos, Nuno Silva, Carlos Ferreira, João Gama 0001. 427-442 [doi]
• Beyond the Single-Best Model: Rashomon Partial Dependence Profile for Trustworthy Explanations in AutoMLMustafa Cavus, Jan N. van Rijn, Przemyslaw Biecek. 445-459 [doi]
• CACTUS: A Context-Aware Framework for Counterfactual Explanations Across Diverse Prediction DomainsDiego García-Pérez, Zhendong Wang, José M. Enguita-Gonzalez. 460-475 [doi]
• Hubris Benchmarking with AmbiGANs: Assessing Model Overconfidence with Synthetic Ambiguous DataCátia Teixeira, Inês Gomes 0001, Carlos Soares, Jan N. van Rijn. 476-491 [doi]
• Adversarial Bandit Optimization for Approximately Linear FunctionsZhuoyu Cheng, Kohei Hatano, Eiji Takimoto. 495-509 [doi]
• A Contextual Bandit Algorithm for Recommending Item Sets with High Sum DiversityMasaki Hashimoto, Atsuyoshi Nakamura. 510-521 [doi]
• Explaining Anomalous Data with Reinforcement LearningSimone Amirato, Fabrizio Angiulli, Fabio Fassetti. 522-536 [doi]
• Attackers Strike Back? Not Anymore - An Ensemble of RL Defenders Awakens for APT DetectionSidahmed Benabderrahmane, Talal Rawhan. 537-552 [doi]
• A Novel AI Approach for the Diagnosis of Alzheimer's Disease from Multi-modal Incomplete DataVeronica Buttaro, Giuseppe Lamanna, Donato Massaro, Claudio Basilio Caporusso, Gianvito Pio, Michelangelo Ceci. 555-570 [doi]
• Exploring Curriculum Learning for Languages: Lessons from Regular Language TasksVanessa Toborek, Florian Seiffarth, Sebastian Müller, Tamás Horváth 0001, Christian Bauckhage. 571-586 [doi]
• Exploring Recommendations Attacks Through Blind OptimizationJulio Corona, Rafael Teixeira, Mário Antunes 0001, Rui L. Aguiar. 587-601 [doi]