Interpretable Rule-Based and Instance-Based Learning-to-Rank for Candidate Screening
Andrea Iommi (University of Pisa)*; Cristiano Landi (University of Pisa); Antonio Mastropietro (University of Pisa); Riccardo Guidotti (University of Pisa)

Model-Agnostic Counterfactual Explanations for Time-Series Classification via Prototype Movement
Isak Samsten (Stockholm University )*

Co-Learning for Missing Arbitrary Modalities in Multi-modal Classification
Francisco Mena (GFZ Helmholtz Center for Geosciences)*; Dino Ienco (INRIA, INRAE, University of Montpellier); Cassio Fraga Dantas (INRIA, INRAE, University of Montpellier); Roberto Interdonato (INRIA, CIRAD, University of Montpellier); Simon Besnard (GFZ Helmholtz Center for Geosciences)

Benchmarking Literature Retrieval for a Model Organism: A Dictyostelium Case Study
Yun Wang (University of Ljubljana)*; Gad Shaulsky (Baylor College of Medicine); Tomaž Curk (University of Ljubljana ); Blaž Zupan (University of Ljubljana)

When Nothing Matters: Extending Linear Models to Improve Interpretability and Faithfulness
Martina Cinquini (University of Pisa)*; Francesco Spinnato (University of Pisa); Riccardo Guidotti (University of Pisa)

Learning to Guide Human Decision Makers with Vision-Language Models
Debodeep Banerjee (University of Trento)*; Stefano Teso (University of Trento); Burcu Sayin (University of Trento); Rajib Pal (Bankura Sammilani Medical College And Hospital); Andrea Passerini (University of Trento)

Do Recipes Have Personas? Characterizing and Generating Creator Style in Attributed Procedural Graphs
Lei Jiang (Microsoft)*

Few-Shot Biomedical Relation Extraction with Large Language Models: A Viable Alternative to Supervised Learning?
Jakob Mraz (University of Ljubljana, Faculty of Computer and Information Science)*; Tomaž Curk (University of Ljubljana, Faculty of Computer and Information Science); Blaž Zupan (University of Ljubljana, Faculty of Computer and Information Science)

DDCAE: A Dual-Decoder Convolutional Autoencoder for Joint Fault Scoring and Signal Restoration in Particle Accelerator Beam Diagnostics
Charles Ndegwa (Universite Paris Saclay)*; Francesca Bugiotti (university Paris Saclay, Centrale Supelec); Barbara Dalena (CEA-Irfu, Saint-Aubin); Quentin Bruant (CEA-Irfu, Saint-Aubin); Valerie Gautard (CEA-Irfu, Saint-Aubin)

How smoothing the affinity matrix affects neighborhood preservation in t-SNE
Shirin Mohebi (Ghent University)*; Guillaume Bied (Ghent University); Jefrey Lijffijt (Ghent University)

Selective Time Series Forecasting via Metalearning
Ricardo Inácio (Faculdade de Engenharia da Universidade do Porto)*; Vitor Cerqueira (University of Coimbra); Marília Barandas (Fraunhofer Portugal AICOS); Carlos Soares (Faculdade de Engenharia da Universidade do Porto)

Design Choices That Matter: A Functional ANOVA Analysis for Remote Sensing Multi-Label Classification
Maryam Gholami Shiri (Jozef Stefan Institute)*; Eva Tuba (Jožef Stefan Institute); Sašo Džeroski (Jožef Stefan Institute); Tome Eftimov (Jožef Stefan Institute); Ana Nikolikj (Jožef Stefan Institute)

Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting
Nouha Karaouli (Univ Rennes, IRISA); Denis Coquenet (Univ Rennes, IRISA); Elisa Fromont (Université Rennes, IRISA/Inria Rennes)*; Martial Mermillod (Univ Grenoble-Alpes, LPN); Marina Reyboz (CEA)

Not All Unlabeled Data Are Equal: Unlabeled Data Selection for Semi-Supervised QSAR Modeling with Large Chemical Repositories
Oliver Majer (University of Ljubljana, Faculty of Mathematics and Physics); Sašo Džeroski (Jožef Stefan Institute); Jurica Levatić (Jožef Stefan Institute)*

Residuals Are Not Enough: Limits of Physics-Informed Pre-Training for Scientific Foundation Models
Serge Kotchourko (University of Stuttgart)*; Amin Totounferoush (University of Stuttgart); Michael Mahoney (University of California, Berkeley); Steffen Staab (University of Stuttgart)

Preserving Knowledge Legacy: Continual Learning on Heterogeneous Graph Attention Networks
Francesco Scala (CNR-ICAR)*; Liliana Martirano (CNR-ICAR); Carmela Comito (CNR-ICAR); Sergio Flesca (UNICAL-DIMES); Luigi Pontieri (CNR-ICAR)

Benchmarking Synthetic Time Series Generation for Privacy-Preserving Forecasting
Luis Amorim (University of Porto)*; Vítor Cerqueira (University of Porto); Moisés Santos (University of Porto); Paulo Azevedo (University of Minho); Carlos Soares (University of Porto)

From Exceptional Subgroups to Hypotheses: A Contrastive Analysis Approach
Madalina Rogozan (Eindhoven University of Technology)*; Natalia Sidorova (Eindhoven University of Technology); Boudewijn van Dongen (Eindhoven University of Technology)

Symbolic Regression for Interpretable Time Series Regime Characterization
Eduardo Passos (Faculdade de Ciências da Universidade do Portro)*; Ricardo Inácio (Faculdade de Engenharia da Universidade do Porto); Moisés Santos ( Faculdade de Engenharia da Universidade do Porto); Carlos Soares (Faculdade de Engenharia da Universidade do Porto)"

DTOC: Dynamic Tool Output Compression for Adaptive Context Management in AI Agents
Abhay Chaturvedi (Pegasystems); Shreya Bhattacharya (Pegasystems); Rashmika Gopalkrishnan (Pegasystems); Peter van der Putten (Leiden University)*

Same Outcomes, Different Journeys: Discovering Behavioral Divergence Between Humans and GUI Agents in Search Applications
Maria Movin (Spotify; Stockholm University)*; Claudia Hauff (Spotify); Aron Henriksson (Stockholm Univeristy); Panagiotis Papapetrou (Stockholm University)

Invariant-Based Weight Sharing for Message Passing in Graph Neural Networks
Florian Seiffarth (University of Bonn)*

Topological Quality Assessment of Random Samples
Alvaro Torras (Universidad de Sevilla); Jose M. Ramirez-Garcia (Universidad de Sevilla); Rocio Gonzalez-Diaz (University of Seville)*

On the Edit Path to GNN Decisions
Florian Seiffarth (University of Bonn)*

Metadata-Driven Scientific Hypothesis Generation via Multi-Agent Symbolic–Neural Reasoning
Fatimah Alotaibi (Virginia Tech)*; Adithya Kulkarni (Virginia Tech); Dawei Zhou (Virginia Tech)

ELADO: Elliptic PDE Assessment Datasets for Operator Learning
Frank Ehebrecht (Osnabrueck University)*; Toni Scharle (ROSEN Technology & Research Center); Martin Atzmueller (Osnabrueck University)

Evaluating Theory of Mind in Reasoning Models: Robustness over Reasoning
Ian B. de Haan (Leiden University); Peter van der Putten (Leiden University)*; Max van Duijn (Leiden University)

OANP: Operator Attentive Neural Processes for detecting unreliable predictions and and covariate shift
Frank Ehebrecht (Osnabrueck University)*; Toni Scharle (ROSEN Technology & Research Center); Martin Atzmueller (Osnabrueck University)

Ordered-LRP: Structured Sparsity Patterns from Unstructured Pruning
Guilherme Pereira (InescTec)*

Sparse Orthogonal Regression Technique: A Spectral Framework for Equation Discovery, Approximation, and Integration
Sabin Roman (Jožef Stefan Institute)*; Ljupco Todorovski (University of Ljubljana); Saso Dzeroski (Jožef Stefan Institute)

The Explanandum Matters: On the Sensitivity of Shapley Feature Attribution to the Value Function in Classification
Asma Ahmed Hashmi (LMU Munich)*; Peter Erber (LMU Munich); Patrick Kolpaczki (LMU Munich); Alireza Javanmardi (LMU Munich); Eyke Hüllermeier (LMU Munich)

HyBiEn: Hybrid Bipolar Ensembles for Imbalanced Regression
Jelke Wibbeke (Carl von Ossietzky Universität Oldenburg)*; Rita P. Ribeiro (University of Porto); Sebastian Rohjans (Jade University of Applied Science); Andreas Rauh (Carl von Ossietzky Universität Oldenburg)

Teachers, Don’t Leave Them MLLMs Alone: Stress Testing the Grading Wall
Ons Zammel (Universidade do Porto Faculdade de Engenharia)*; Carlos Soares (Universidade do Porto Faculdade de Engenharia); Gerd Kortemeyer (ETH zurich); Fl´avia Carvalhido (Universidade do Porto Faculdade de Engenharia)

Reducing False Positives in Operational Remote Sensing: Lessons from Methane Plume Detection
Julia Wąsala (Leiden University)*; Joannes D. Maasakkers (SRON Space Research Organisation Netherlands); Holger Hoos (RWTH Aachen); Mitra Baratchi (Leiden Institute for Advanced Computer Science (LIACS))

Discovering Stratified Learning Strategies for Student Subgroups with Exceptional Study Behavior: More Fine-grained Significance Categories in Regression Models
Dani Chambon (Technische Universiteit Eindhoven); Hilde Storms (Technische Universiteit Eindhoven); Teun van Gorcum (Technische Universiteit Eindhoven); Neha Bogavarapu (Technische Universiteit Eindhoven); Jan Ludwicki (Technische Universiteit Eindhoven); Wouter Duivesteijn (Technische Universiteit Eindhoven)*; Lieke van den Biggelaar (Technische Universiteit Eindhoven)

Leveraging spatial transcriptomic through a heterogeneous graph-based method for spot-level cancer tissue classification
Veronica Buttaro (Università degli Studi di Bari Aldo Moro); Antonio Pellicani (Università degli Studi di Bari Aldo Moro)*; Annalisa Occhipinti (Teesside University); Claudio Angione (Teesside University); Gianvito Pio (Università degli Studi di Bari Aldo Moro); Michelangelo Ceci (Università degli Studi di Bari Aldo Moro)

Actions Have Consequences: Detecting Outcome Performativity Using Intervention Testing
Brandon Gower-Winter (Utrecht University)*; Georg Krempl (Utrecht University)

What Drives LLM-Generated Hypotheses? Attribution-Informed Context Engineering for Scientific Discovery
Adnan Mahmud (University of Edinburgh)*; Gabriel Reder (University of Cambridge); Abbi Abdel Rehim (University of Cambridge); Amy Wilson (University of Edinburgh); Ross King (University of Cambridge)

Discovering Latent Hydrological Regimes with Interpretable Mixture-of-Experts Surrogates
Francesco Paolo Folino (ICAR-CNR)*; Carmelina Costanzo (DIAm-UNICAL); Pietro Sabatino (ICAR-CNR); Luigi Pontieri (ICAR-CNR)

On the Synthetic Evaluation of Time Series Clustering
Felix Iglesias (TU Wien)*; Tanja Zseby (TU Wien)

Hidden-Context Drift Simulation for Realistic Stream Benchmarks
Yibin Sun (Victoria University of Wellington)*; Bernhard Pfahringer (University of Waikato); Heitor Murilo Gomes (Victoria University of Wellington); Albert Bifet (University of Waikato)

On the Impact of Item Order and Questionnaire Popularity in LLMs
Simon Münker (Trier University)*; Simon Werner (Trier University ); Achim Rettinger (Trier University )"

Has Someone Already Tested This? Construct-Level Hypothesis-Literature Matching
Lan Pan (Osnabrück University)*; Sebastian Musslick (Osnabrück University)

TiLLMeOut: Time Series Large Language Models-based Outlier Detection
Fabrizio Angiulli (University of Calabria); Francesco De Luca (University of Calabria)*; Fabio Fassetti (University of Calabria)

Likelihood-Free Bayesian Symbolic Regression for the discovery of Stochastic Differential Equations
Tim Schneider (University of Stuttgart)*; Daniel Tartakovsky (Stanford University ); Wolfgang Nowak (University of Stuttgart); Steffen Staab (University of Stuttgart)

On the Effects of Reasoning Effort and Prompt-Based Diversification on Scientific Ideation Diversity
Yu Chinen (Laboratory for AI Biology, Center for Biosystems Dynamics Research, RIKEN)*; Haruka Ozaki (Laboratory for AI Biology, Center for Biosystems Dynamics Research, RIKEN)

Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing
Marcin Rozmus (Pegasystems); Peter van der Putten (Leiden University)*

Contextual Chunk Augmentation for Biomedical RAG: Multi-Perspective Context Selection
Amsalu Fentie Jember (University of Bari Aldo Moro)*; Mario Alessandro Bochicchio (University of Bari Aldo Moro)

GEMSS: A Variational Method for Discovering Multiple Sparse Solutions in Classification and Regression Problems
Kateřina Henclová (Datamole)*; Václav Šmídl (Czech Technical University in Prague)

Size-Constrained Clustering via Bat Algorithm Optimization
Diego Vallejo-Huanga (Universitat Politècnica de València)*; Alexander Padilla (Universidad Politécnica Salesiana); Cesar Ferri (Universitat Politècnica de València); Fernando Martinez-Plumed (Universitat Politècnica de València)

On the Fairness of Feature Attribution Explanations
Michele Fontana (University of Pisa); Francesca Naretto (University of Pisa)*; Anna Monreale (University of Pisa)

Discovering Latent Scientific Concepts through Discrete Representation Learning
Marjan stoimchev (JSI); Monu Verma (IU); Aveline Filliol (MSK); Maria Skamagki (MSK); Sara Flowers (MSK); Jacob Cohen (MSK); Zachary Azadian (MSK); Nancy Newlin (MSK); Mohamed Abdel-Mottaleb (IU); Saso Dzeroski (JSI)*; Paul Romesser (MSK); Scott Lowe (MSK); Nevenka Dimitrova (MSK)