| Authors | Paper |
| Shirin Tahmasebi (KTH Royal Institute of Technology)*; Amir H. Payberah (KTH Royal Institute of Technology); Mihhail Matskin (KTH Royal Institute of Technology, Computer Science) | Improving Fairness in Large Language Model-based Recommendation Systems |
| Panteleimon Pantelidis (National and Kapodistrian University of Athens)*; Maria Bampa (Stockholm University); Ioannis Gialamas (National and Kapodistrian University of Athens); Athina Gkoliopoulou (National and Kapodistrian University of Athens ); George Zakynthinos (National and Kapodistrian University of Athens); Konstantinos Kalogeras (National and Kapodistrian University of Athens); Ioanna Miliou (Stockholm University); Theodoros Papaioannou (National and Kapodistrian University of Athens); Evangelos Oikonomou (National and Kapodistrian University of Athens); Gerasimos Siasos (National and Kapodistrian University of Athens); Panagiotis Papapetrou (Stockholm University) | Design and Clinical Testing of an Artificial Neural Network Model, for the Prediction of Cardiac Arrhythmias from Few-Lead Electrocardiographic Recordings |
| Bart LJT Engelen (TU Eindhoven)*; Wouter Duivesteijn (TU Eindhoven) | Bottom-Up-Seeded Pattern Sampling: the BUSPaS Algorithm for Supervised Descriptive Local Pattern Mining |
| Rianne M Schouten (Eindhoven University of Technology)*; Wouter Duivesteijn (TU Eindhoven); Mykola Pechenizkiy (TU Eindhoven) | Flat-table data formats for time-varying descriptors: Effects on subgroup set redundancy |
| Tharuka C Kasthuri Arachchige (Blekinge Tekniska Högskola)*; Veselka Boeva (Blekinge Institute of Technology); Shahrooz Abghari (Blekinge Institute of Technology); Håkan Grahn (Blekinge Institute of Technology); Emiliano Casalicchio (Blekinge Institute of Technology) | Monitoring Heterogeneous Clients’ Behaviour in Federated Learning |
| Paul Sevellec (Inria Rennes)* | Counterfactual explanations for multivariate time-series classification |
| Dorra Sassi (University of Rennes)*; David Gross-Amblard (IRISA); constance thierry (University of Rennes) | Modeling Human Learning through Imperfect Responses and Elicitation. |
| Cornelia Käsbohrer (Umeå Universitet); Lili Jiang (Department of Computing Science, Umeå University, Sweden)*; Virginia Dignum (Umea University) | Enhancing AI trustworthiness for multi-modal data via XAI models |
| Guillermo Fernandez (UCLM)*; Juan Aledo (Universidad de Castilla-La Mancha); Jose A Gamez (Universidad de Castilla-La Mancha); Jose Puerta | Enhancing Black-Box Classifier Transparency through Fuzzy-based Explanations |
| Johan LE BOURSICAUD (IRISA)*; David Gross-Amblard (IRISA); Zoltan Miklos (IRISA) | In-Database Graph Neural Networks through Views |
| Brandon Gower-Winter (Utrecht University)* | Detecting and Predicting Performative Drift – PhD Forum Proposal |
| Marko Petkovic (Eindhoven University of Technology)* | DNA for materials |
| Gabriele Santangelo (Università degli Studi di Pavia)* | Development of a Clinical Decision-Support System Using Simulations of Rehabilitation Scenarios |
| Samuele Pe (Università di Pavia)* | Judicial AI in Rehabilitation: Developing Evidence-Based Decision Support Systems for Diagnosis and Therapy Planning |
| Joana Santos (FEUP)*; Nuno Silva (Polythecnic Institute of Porto); Carlos Ferreira (INESC TEC); Joao Gama (INESC TEC – LIAAD) | Improving and evolving online news classification through semantic enrichment |
