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35th BNAIC/BENELEARN 2023: Delft, The Netherlands - Selected Papers
- Frans A. Oliehoek, Manon Kok, Sicco Verwer:
Artificial Intelligence and Machine Learning - 35th Benelux Conference, BNAIC/Benelearn 2023, Delft, The Netherlands, November 8-10, 2023, Revised Selected Papers. Communications in Computer and Information Science 2187, Springer 2025, ISBN 978-3-031-74649-9 - Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
No Imputation Without Representation. 1-21 - Timo Kats, Peter van der Putten, Jan Scholtes:
Relevance Feedback Strategies for Reducing Review Effort in Recall-Oriented Neural Information Retrieval. 22-39 - Jan Lemeire, Stefan Buijsman:
Defining and Evaluating the Degrees of Abstraction in Explanations with Kolmogorov Complexity. 40-53 - Jonathan Aechtner, Anna Wilbik, Mirela Popa:
Assessing Aggressive Driving Behaviour Using Attention Based Models. 54-81 - Simon Vanneste, Astrid Vanneste, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx, Kevin Mets:
Multi-Agent Counterfactual Communication Using Difference Rewards Policy Gradients. 82-100 - Bhanu Angam, Alessandro Beretta, Eli De Poorter, Matthieu Duvinage, Daniel Peralta:
Forecast Reconciliation for Vaccine Supply Chain Optimization. 101-118 - Thomas R. Visser, Ruggiero Seccia, Wouter Merkx, Wouter Kool, Leendert Kok:
Machine Learning Applications in Route Planning for Attended Home Delivery. 119-134 - Yannick Molinghen, Raphaël Avalos, Mark Van Achter, Ann Nowé, Tom Lenaerts:
Laser Learning Environment: A New Environment for Coordination-Critical Multi-agent Tasks. 135-154 - Martijn P. van Leeuwen, Munirdin Jadikar, Thijs van Oudheusden, Sebastiaan Oei, Bastiaan Steunenberg, Rik Kint, Erik R. Ranschaert, Gerlof P. T. Bosma, Gorkem Saygili, Lee-Ling Sharon Ong:
Deep Learning Classifiers to Reduce False Positives in Osteolytic Lesion Segmentation Results from Low-Dose CT Scans of Multiple Myeloma. 155-173 - Tjitze Rienstra:
Explaining Boolean Classifiers with Non-monotonic Background Theories. 174-188 - Flore Vancompernolle Vromman, Sylvain Courtain, Pierre Leleux, Constantin de Schaetzen, Eve Beghein, Alexia Kneip, Marco Saerens:
Maximum Entropy Logistic Regression for Demographic Parity in Supervised Classification. 189-208 - Pierre Guetschel, Michael Tangermann:
Identifying Good Donor Datasets for Transfer Learning Scenarios in Motor Imagery BCI. 209-235 - Prateek Bhustali, Charalampos P. Andriotis:
Assessing the Optimality of Decentralized Inspection and Maintenance Policies for Stochastically Degrading Engineering Systems. 236-254 - Erik van Haeringen, Marco Otte, Charlotte Gerritsen:
Human Recognition of Emotions Expressed by Human-Like Avatars on 2D Screens. 255-273
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