Abstract is missing.
- Tackling the Abstraction and Reasoning Corpus (ARC) with Object-Centric Models and the MDL PrincipleSébastien Ferré. 3-15 [doi]
- RMI-RRG: A Soft Protocol to Postulate Monotonicity Constraints for Tabular DatasetsIko Vloothuis, Wouter Duivesteijn. 16-27 [doi]
- A Structural-Clustering Based Active Learning for Graph Neural NetworksRicky Maulana Fajri, Yulong Pei, Lu Yin 0006, Mykola Pechenizkiy. 28-40 [doi]
- Multi-armed Bandits with Generalized Temporally-Partitioned RewardsRonald C. van den Broek, Rik Litjens, Tobias Sagis, Nina Verbeeke, Pratik Gajane. 41-52 [doi]
- GloNets: Globally Connected Neural NetworksAntonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton. 53-64 [doi]
- Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular DataAxel Karlsson, TianZe Wang, Slawomir Nowaczyk, Sepideh Pashami, Sahar Asadi. 65-76 [doi]
- A Remark on Concept Drift for Dependent DataFabian Hinder, Valerie Vaquet, Barbara Hammer. 77-89 [doi]
- Variational Perspective on Fair Edge PredictionAntoine Gourru, Charlotte Laclau, Manvi Choudhary, Christine Largeron. 93-104 [doi]
- Node Classification in Random TreesWouter W. L. Nuijten, Vlado Menkovski. 105-116 [doi]
- Self-supervised Siamese AutoencodersFriederike Baier, Sebastian Mair 0001, Samuel G. Fadel. 117-128 [doi]
- Equivariant Parameter Sharing for Porous Crystalline MaterialsMarko Petkovic, Pablo Romero-Marimon, Vlado Menkovski, Sofía Calero. 129-140 [doi]
- Subgraph Mining for Graph Neural NetworksAdem Kikaj, Giuseppe Marra, Luc De Raedt. 141-152 [doi]
- Super-Resolution Analysis for Landfill Waste ClassificationMatías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama 0001. 155-166 [doi]
- Predicting Performance Drift in AI Models of Healthcare Without Ground Truth LabelsYlenia Rotalinti, Puja Myles, Allan Tucker. 167-178 [doi]
- An Interpretable Human-in-the-Loop Process to Improve Medical Image ClassificationJoana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu. 179-190 [doi]
- Hybrid Ensemble-Based Travel Mode PredictionPawel Golik, Maciej Grzenda, Elzbieta Sienkiewicz. 191-202 [doi]
- Beyond Words: A Comparative Analysis of LLM Embeddings for Effective ClusteringImed Keraghel, Stanislas Morbieu, Mohamed Nadif. 205-216 [doi]
- Data Quality in NLP: Metrics and a Comprehensive TaxonomyVu Minh Hoang Dang, Rakesh M. Verma. 217-229 [doi]
- Building Brownian Bridges to Learn Dynamic Author Representations from TextsEnzo Terreau, Julien Velcin. 230-241 [doi]
- Automatically Detecting Political Viewpoints in Norwegian TextTu My Doan, David Baumgartner, Benjamin Kille, Jon Atle Gulla. 242-253 [doi]
- AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature MiningBoshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin. 254-265 [doi]