The time allocated for each paper presentation will be 20 minutes (15 minutes for the presentation itself and 5 minutes for discussion).
Official proceedings can be found here: Part 1 and Part 2.
Day 1 (24th, Wednesday)
| 09:00-10:15 | KNIME: Introduction | |
| 10:15-10:30 | Break | |
| 10:30-12:00 | KNIME: competition | |
| 12:20-13:40 | Lunch | |
| 13:40-13:50 | Opening | |
| 13:50-14:50 | Keynote 1: Danica Kragic (Chair: Nico Piatkowski) | |
| 14:50-16:10 | Session 1: Foundations of AI/ML I | Chair: Joao Gama |
| 14:50-15:10 | Sébastien Ferré | Tackling the Abstraction and Reasoning Corpus (ARC) with Object-centric Models and the MDL Principle |
| 15:10-15:30 | Iko Vloothuis, Wouter Duivesteijn | RMI-RRG: a Soft Protocol to Postulate Monotonicity Constraints for Tabular Datasets |
| 15:30-15:50 | Ricky M Fajri, Yulong Pei, Lu Yin, Mykola Pechenizkiy | A Structural-Clustering Based Active Learning for Graph Neural Networks |
| 15:50-16:10 | Ronald C van den Broek, Rik Litjens, Tobias Sagis, Nina Verbeeke, Pratik Gajane | Multi-Armed Bandits with Generalized Temporally-Partitioned Rewards |
| 16:10-16:30 | Break | |
| 16:30-18:10 | Session 2: Representation Learning | Chair: Sindri Magnusson |
| 16:30-16:50 | Antoine Gourru, Charlotte Laclau, Manvi Choudhary, Christine Largeron | Variational Perspective on Fair Edge Prediction |
| 16:50-17:10 | Wouter W. L. Nuijten, Vlado Menkovski | Node Classification in Random Trees |
| 17:10-17:30 | Friederike Baier, Sebastian Mair, Samuel G. Fadel | Self-Supervised Siamese Autoencoders |
| 17:30-17:50 | Marko Petkovic, Pablo Romero Marimon, Vlado Menkovski, Sofia Calero | Equivariant Parameter Sharing for Porous Crystalline Materials |
| 17:50-18:10 | Adem Kikaj, Giuseppe Marra, Luc De Raedt | Subgraph Mining for Graph Neural Networks |
| 19:00-22:00 | Conference Reception: Stockholm City Hall | |
Day 2 (25th, Thursday)
| 09:00-10:00 | Keynote 2: Dino Pedreschi (Chair: Ioanna Miliou) | |
| 10:00-11:00 | Session 3: Foundations of AI/ML II | Chair: Allan Tucker |
| 10:00-10:20 | Antonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton | GloNets: Globally Connected Neural Networks |
| 10:20-10:40 | Axel Karlsson, Tianze Wang, Slawomir Nowaczyk, Sepideh Pashami, Sahar Asadi | Mind the Data, Measuring the Performance Gap between Tree Ensembles and Deep Learning on Tabular Data |
| 10:40-11:00 | Fabian Hinder, Valerie Vaquet, Barbara Hammer | A Remark on Concept Drift for Dependent Data |
| 11:00-11:20 | Break | |
| 11:20-12:40 | Session 4: Applications | Chair: Slawomir Nowaczyk |
| 11:20-11:40 | Matias Daniel Molina, Rita P. Ribeiro, Bruno Veloso, Joao Gama | Super-Resolution Analysis for Landfill Waste Classification |
| 11:40-12:00 | Ylenia Rotalinti, Puja Myles, Allan Tucker | Predicting performance drift in AI models of healthcare without ground truth labels |
| 12:00-12:20 | Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu | An Interpretable Human-In-The-Loop Process to Improve Medical Image Classification |
| 12:20-12:40 | Paweł Golik, Elzbieta Sienkewicz, Maciej Grzenda | Hybrid Ensemble-Based Travel Mode Prediction |
| 12:40-14:00 | Lunch | |
| 14:00-15:40 | Session 5: NLP | Chair: Korbinian Randl |
| 14:00-14:20 | Imed Keraghel, Stanislas Morbieu, Mohamed Nadif | Beyond words: a comparative analysis of LLM embeddings for effective clustering |
| 14:20-14:40 | Vu Minh Hoang Dang, Rakesh Verma | Data Quality in NLP: Metrics and a Comprehensive Taxonomy |
| 14:40-15:00 | Enzo Terreau, Julien Velcin | Building Brownian Bridges to Learn Dynamic Author Representations from Texts |
| 15:00-15:20 | Tu My Doan, David Baumgartner, Benjamin Kille, Jon Atle Gulla | Automatically Detecting Political Viewpoints in Norwegian Text |
| 15:20-15:40 | Boshko Koloski, Nada Lavrač, Bojan Cestnik, Senja Pollak, Blaž Škrlj, Andrej Kastrin | AHAM: Adapt, Help, Ask, Model Harvesting LLMs for literature mining |
| 15:40-16:00 | PhD Forum spotlights (Chair: Luis Galarraga) | |
| 16:00-17:00 | Poster session + Break | |
| 17:00-18:00 | Session 6: Temporal Data Mining | Chair: Pedro Pereira Rodrigues |
| 17:00-17:20 | Rodrigo Tuna | Kernel Corrector LSTM |
| 17:20-17:40 | Thabang TD Lebese, Cecile Mattrand, David Clair, Jean-Marc Bourinet, Francois Deheeger | Unsupervised Representation Learning for Smart Transportation |
| 17:40-18:00 | Maedeh Nasri, Thomas Maliappis, Carolien Rieffe, Mitra Baratchi | T-DANTE: Detecting Group Behaviour in Spatio-temporal Trajectories Using Context Information |
| 19:00-22:00 | Banquet Dinner: Villa Godthem | |
Day 3 (26th, Friday)
| 09:00-10:00 | Keynote 3: Dimitrios Gunopulos (Chair: Panagiotis Papapetrou) | |
| 10:00-11:00 | Session 7: Statistical Learning | Chair: Daniele Pala |
| 10:00-10:20 | Ekaterina Antonenko, Michael Mechenich, Rita Beigaite, Indre Zliobaite, Jesse Read | Backward Inference in Probabilistic Regressor Chains with Distributional Constraints |
| 10:20-10:40 | Jinyang Yu, Sami Hamdan, Leonard Sasse, Abigail Morrison, Kaustubh Patil | Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection |
| 10:40-11:00 | Maciej K. Zuziak, Salvatore Rinzivillo | Amplified Contribution Analysis for Federated Learning |
| 11:00-11:20 | Break | |
| 11:20-12:40 | Session 8: Data Mining | Chair: Siegfried Nijssen |
| 11:20-11:40 | Christoph Düsing, Philipp Cimiano | Monitoring Concept Drift in Continuous Federated Learning Platforms |
| 11:40-12:00 | Pedro C. Vieira, João Antunes, João Vieira, Joao Gama | S+t-SNE – Bringing Dimensionality Reduction to Data Streams. |
| 12:00-12:20 | Joel Dierkes, Daniel Stelter, Christian Braune | λ-DBSCAN: Augmenting DBSCAN with Prior Knowledge |
| 12:20-12:40 | Vishnu Manasa Devagiri, Pierre Dagnely, Veselka Boeva, Elena Tsiporkova | Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis |
| 12:40-14:00 | Lunch | |
| 14:00-14:40 | Industrial Challenge (Chair: Tony Lindgren) | |
| 14:40-16:00 | Session 9: Optimization | Chair: Kai Puolamäki |
| 14:40-15:00 | Harold Kiossou, Pierre Schaus, Siegfried Nijssen, Gael Aglin | Efficient Lookahead Decision Trees |
| 15:00-15:20 | Lionel Kielhofer, Felix Mohr, Jan N. Van Rijn | Learning Curve Extrapolation Methods across Extrapolation Settings |
| 15:20-15:40 | Simon Neumeyer, Julian J Stier, Michael Granitzer | Efficient NAS with FaDE on Hierarchical Spaces |
| 15:40-16:00 | Thore Gerlach, Sascha Mücke | Investigating the Relation Between Problem Hardness and QUBO Properties |
| 16:00-16:20 | Break | |
| 16:20-18:00 | Session 10: XAI | Chair: Elisa Fromont |
| 16:20-16:40 | Henrik Bostrom | Example-Based Explanations of Random Forest Predictions |
| 16:40-17:00 | Guillermo Fernandez, Riccardo Guidotti, Fosca Giannotti, Mattia Setzu, Juan Aledo, Jose A Gamez, Jose Puerta | FLocalX – Local to Global Fuzzy Explanations for Black Box Classifiers |
| 17:00-17:20 | Valentin Lemaire, Gael Aglin, Siegfried Nijssen | Interpretable Quantile Regression by Optimal Decision Trees |
| 17:20-17:40 | Anton Björklund, Lauri Seppäläinen, Kai Puolamäki | SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI (Best Paper) |
| 17:40-18:00 | Federico Mazzoni, Riccardo Guidotti, Alessio Malizia | A Frank System for Co-Evolutionary Hybrid Decision-Making |
| 18:00-18:10 | Closing remarks | |
| 19:30- | Social event: Orangeriet (not included in the registration fee)* | |
* The final social event at Orangeriet is not included in the registration fee, i.e., costs are on the participants.