Program

22 SEP 2025
Afternoon Opening & welcome reception
23 SEP 2025
08:30 - 09:20 Registration
08:20 - 09:30 Opening Sašo Džeroski (Jožef Stefan Institute), Vida Groznik (University of Ljubljana)
09:30 - 10:30 Physics-informed Methods for Science Chair: TBD
Paper ID Author Names Paper Title
12 Pol Timmer (Eindhoven University of Technology)*; Koen Minartz (Eindhoven University of Technology); Vlado Menkovski (Eindhoven University of Technology) Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale
47 Diana Onutu (Eindhoven University of Technology)*; Yue Zhao (SURF); Joaquin Vanschoren (Eindhoven University of Technology); Vlado Menkovski (Eindhoven University of Technology) Score Matching on Large Geometric Graphs for Cosmology Generation
78 Sabin Roman (Jožef Stefan Institute)* Maximum Entropy Models for Unimodal Time Series: Case Studies of Universe 25 and St. Matthew Island
10:30 - 11:00 Coffee Break
11:00 - 12:00 Learning from Complex Data Chair: TBD
Paper ID Author Names Paper Title
74 Liliana Martirano (ICAR CNR)*; Francesco Scala (ICAR CNR); Carmela Comito (ICAR CNR); Luigi Pontieri (ICAR CNR) Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks
31 Fadwa Idlahcen (Czech Technical University)* Learning Tree-structured Distributions
14 Cristian Cosentino (University of Calabria); Merve Gunduz (Manisa Celal Bayar University); Fabrizio Marozzo (Universita' della Calabria); Şule Öztürk Birim (Manisa Celal Bayar University)* From Reviews to Results: Generative AI for Review-Driven Product and Service Comparisons
12:00 - 13:00 Keynote Mikel Landajuela Deep Symbolic Optimization: Reinforcement Learning for Equation Discovery
13:00 - 14:30 Lunch Break
14:30 - 16:00 Symbolic Regression for Science Chair: TBD
Paper ID Author Names Paper Title
96 Jannis Brugger (TU Darmstadt)*; Viktor Pfanschilling (TU Darmstadt); David Richter (TU Darmstadt); Mira Mezini (TU Darmstadt); Stefan Kramer (Uni Mainz ) Prompting Neural-Guided Equation Discovery Based on Residuals
30 Jure Brence (Jozef Stefan Institute)*; Sašo Džeroski (Jožef Stefan Institute); Ljupčo Todorovski (Faculty of mathematics and physics, University of Ljubljana) Bayesian Grammar Refinement for Efficient Equation Discovery
11 Guus Toussaint (Leiden University)*; Arno Knobbe (Leiden University) EDC: Equation Discovery for Classification
62 Martin Perčinić (Jožef Stefan Institute)*; Sebastian Mežnar (Jožef Stefan Institute); Ljupčo Todorovski (Faculty of Mathematics and Physics, University of Ljubljana); Sašo Džeroski (Jožef Stefan Institute) A variational autoencoder for n-ary trees
16:00 - 16:30 Coffee Break
16:30 - 17:30 Model Design and Optimization: Symbolic Learning, Decision Trees, and NNs Chair: TBD
Paper ID Author Names Paper Title
70 Kiara Stempel (Johannes Gutenberg University Mainz)*; Mattia Cerrato (Johannes Gutenberg University Mainz); Stefan Kramer (Johannes Gutenberg University Mainz) On the Potential of Deep Symbolic Models for Classification Problems
49 Florian Beck (JKU Linz)*; Johannes Fürnkranz (JKU Linz); Van Quoc Phuong Huynh (JKU Linz) Exploring the Design Space of Fair Tree Learning Algorithms
56 Artem Lunev (ITMO University)*; Nikolay Nikitin (ITMO University) Neuron-Level Architecture Search for Efficient Model Design
18:30 - 20:00 Poster Session & Aperitif
24 SEP 2025
09:30 - 11:00 Unsupervised and Semi-Supervised Learning Chair: TBD
Paper ID Author Names Paper Title
99 Vangjush Komini (KTH Royal Institute of Technology)*; Nadezhda Koriakina (Uppsala University); Debaditya Roy (Qamcom Research and Technology AB); Sarunas Girdzijauskas (KTH Royal Institute of Technology) Similarity Learning for Spectral Clustering
22 Georgios Vardakas (University of Ioannina)*; Antonia Karra (University of Ioannina); Evaggelia Pitoura (University of Ioannina); Aristidis Likas (University of Ioannina) Evaluating Clustering Quality in Centroid-Based Clustering Using Counterfactual Distances
37 Sintija Stevanoska (Jožef Stefan Institute)*; Katharina Dost (Jožef Stefan Institute); Christian Leonardo Camacho Villalón (Jožef Stefan Institute); Sašo Džeroski (Jožef Stefan Institute) Selecting Unlabeled Data for Tabular Self-Supervised Learning
10:30 - 11:00 Coffee Break
11:00 - 12:00 Explainable AI for Science Chair: Jan N. van Rijn
Paper ID Author Names Paper Title
41 Carlos Soares (U. Porto / Fraunhofer AICOS Portugal); Paulo J. Azevedo (U. Minho); Luis Torgo (Dalhousie U.); Vítor Cerqueira (U. Porto)* Meta Subspace Analysis: understanding model (mis)behavior in the metafeature space
61 Antónia Brito (Faculty of Engineering University of Porto)*; Moisés Santos ( Faculty of Engineering University of Porto); Carlos Soares (Faculty of Engineering University of Porto); Duarte Folgado (AICOS Fraunhofer) tsMIST: Model Sensitivity Analysis with Time Series Morphing
28 Genghua Dong (Kungliga Tekniska högskolan)*; Henrik Boström (Kungliga Tekniska högskolan); Roman Bresson (Kungliga Tekniska högskolan); Amr Alkhatib (Kungliga Tekniska högskolan) Explaining Deep Neural Networks with Example and Pixel Attribution
12:00 - 13:00 Keynote Joaquin Vanschoren Auto-continual learning
13:00 - 14:30 Lunch Break
14:30 - 16:00 Few-Shot Learning, Data Streams Chair: TBD
Paper ID Author Names Paper Title
3 Tim van Engeland (Eindhoven University of Technology); Lu Yin (Eindhoven University of Technology); Vlado Menkovski (Eindhoven University of Technology)* Aspect-Based Few-Shot Learning
36 Francesco Scala (CNR-ICAR)*; Massimo Guarascio (CNR-ICAR); Carlo Parrotta (UNICAL-DIMES); Luigi Pontieri (CNR-ICAR) Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DDoS Attack Detection
73 Jia Liu (University of Waikato)*; Guilherme Cassales (University of Waikato); Fei Liu (University of New South Wales); Bernhard Pfahringer (University of Waikato); Albert Bifet (University of Waikato) Adaptive Isolation Forest
68 Maik Büttner (Otto-von-Guericke University Magdeburg)*; Myra Spiliopoulou (Otto-von-Guericke University Magdeburg) Investigating delays of combined feature and label acquisitions on data streams
16:00 - 16:30 Coffee Break
16:30 - 17:30 Explainable AI for Science Chair: TBD
Paper ID Author Names Paper Title
82 Mustafa Cavus (Eskisehir Technical University)*; Jan N. van Rijn (Leiden University); Przemyslaw Biecek (Warsaw University of Technology) Beyond the Single-Best Model: Rashomon Partial Dependence Profile for Trustworthy Explanations in AutoML
97 Matteo Salis (University of Turin)*; Gabriele Sartor (University of Turin); Marco Pellegrino (University of Turin); Rosa Meo (University of Turin); Stefano Ferraris (University of Turin); Abdourrahmane Atto (Université Savoie Mont Blanc) Extending Model-Agnostic XAI Methods for Regression Tasks in Spatio-Temporal Domains
93 Luca Corbucci (University of Pisa)*; Francesca Naretto (University of Pisa); Anna Monreale (University of Pisa) Enhancing Local Explanations with GAN-Based neighborhood generation
25 SEP 2025
09:30 - 10:30 Keynote Iryna Gurevych Please meet AI, our dear new colleague. In other words: can scientists and machines truly cooperate?
10:30 - 11:00 Coffee Break
11:00 - 12:00 Foundation Models for Science, LLMs Chair: TBD
Paper ID Author Names Paper Title
101 Ana Gjorgjevikj (Jozef Stefan Institute); Matej Martinc (Jožef Stefan Institute); Gjorgjina Cenikj (Jožef Stefan Institute); Saso Dzeroski (Jožef Stefan Institute); Barbara Koroušić Seljak (Jožef Stefan Institute); Tome Eftimov (Jozef Stefan Institute)* FoodSEM: Large Language Model Specialized in Food Named-Entity Linking
95 Laura Pollacci (University of Pisa)*; Giacomo Fidone (University of Pisa); Luca Coda-Giorgio (University of Pisa) Multi-Domain Validation of LLM-Based Simulators via Interpretable and Latent Representations
38 Joana Santos (ISEP)*; Nuno Silva (ISEP); Carlos Ferreira (ISEP); João Gama (LIAAD) Fine-Tuning Transformer-Based LLMs in Hierarchical Text Classification
12:00 - 13:00 Model Uncertainty, Trustworthy and Human-Centered Explainable AI Chair: TBD
Paper ID Author Names Paper Title
45 Diego García (University of Oviedo)*; Zhendong Wang (KTH Royal Institute of Technology); José M. Enguita (University of Oviedo) CACTUS: A Context-aware Framework for Counterfactual Explanations Across Diverse Prediction Domains
88 Cátia Teixeira (FEUP)*; Inês Gomes (FEUP); Carlos Soares (FEUP); Jan van Rijn (Leiden University) Hubris Benchmarking with AmbiGANs: Assessing Model Overconfidence with Synthetic Ambiguous Data
13:00 - 14:30 Lunch Break
14:30 - 16:00 Reinforcement Learning, Bandit Optimization Chair: TBD
Paper ID Author Names Paper Title
21 Zhuoyu Cheng (Kyushu University)*; Kohei Hatano (Kyushu University); Eiji Takimoto (Kyushu University) Adversarial bandit optimization for approximately linear functions
87 Masaki Hashimoto (Graduate School of Information Science and Technology, Hokkaido University)*; Atsuyoshi Nakamura (Graduate School of Information Science and Technology, Hokkaido University) A Contextual Bandit Algorithm for Recommending Item Sets with High Sum Diversity
50 Simone Amirato (University of Calabria)*; Fabrizio Angiulli (University of Calabria); Fabio Fassetti (University of Calabria) Explaining Anomalous Data with Reinforcement Learning
53 Sidahmed Benabderrahmane (New York Universiy)*; Talal Rahwan (New york university) Attackers Strike Back? Not Anymore — An Ensemble of RL Defenders Awakens.
16:00 - 16:30 Coffee Break
16:30 - 17:30 Machine Learning Applications Chair: TBD
Paper ID Author Names Paper Title
24 Veronica Buttaro (Università degli Studi di Bari "Aldo Moro")*; Giuseppe Lamanna (Lutech SPA); Donato Massaro (Lutech SPA); Claudio Basilio Caporusso (Lutech SPA); Gianvito Pio (Università degli Studi di Bari "Aldo Moro"); Michelangelo Ceci (Università degli Studi di Bari "Aldo Moro") A novel AI approach for the diagnosis of Alzheimer’s Disease from multi-modal incomplete data
58 Vanessa Toborek (University of Bonn)*; Florian Seiffarth (University of Bonn); Sebastian Müller (University of Bonn); Tamás Horváth (University of Bonn, Fraunhofer IAIS); Christian Bauckhage (University of Bonn, Fraunhofer IAIS) Exploring Curriculum Learning for Languages: Lessons from Regular Language Tasks
86 Julio Corona (Instituto de Telecomunicações)*; Rafael Teixeira (Instituto de Telecomunicações); Mário Antunes (Instituto de Telecomunicações); Rui L. Aguiar (Instituto de Telecomunicações) Exploring Recommendations Attacks through Blind Optimization
17:30 - 17:40 Closing Sašo Džeroski (Jožef Stefan Institute), Vida Groznik (University of Ljubljana)
18:30 - 20:00 Poster Session & Aperitif