- 2023
- Toon Calders
, Celine Vens
, Jefrey Lijffijt
, Bart Goethals
:
Artificial Intelligence and Machine Learning - 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022, Revised Selected Papers. Communications in Computer and Information Science 1805, Springer 2023, ISBN 978-3-031-39143-9 [contents] - 2022
- Suzana Basic, Márcio Fuckner, Pascal Wiggers:
Explainable Misinformation Detection from Text: A Critical Look. BNAIC/BENELEARN 2022: 1-15 - Daimy Van Caudenberg, Bart Bogaerts
:
Symmetry and Dominance Breaking for Pseudo-Boolean Optimization. BNAIC/BENELEARN 2022: 149-166 - Zhiyi Chen, Marco Loog, Jesse H. Krijthe:
Explaining Two Strange Learning Curves. BNAIC/BENELEARN 2022: 16-30 - Tobias Glasmachers
:
Recipe for Fast Large-Scale SVM Training: Polishing, Parallelism, and More RAM! BNAIC/BENELEARN 2022: 31-46 - Kshitij Goyal
, Wannes Meert
, Hendrik Blockeel
, Elia Van Wolputte
, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers:
Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming. BNAIC/BENELEARN 2022: 47-64 - Yuko Kato, David M. J. Tax, Marco Loog:
A View on Model Misspecification in Uncertainty Quantification. BNAIC/BENELEARN 2022: 65-77 - Salima Lamsiyah
, Christoph Schommer
:
A Comparative Study of Sentence Embeddings for Unsupervised Extractive Multi-document Summarization. BNAIC/BENELEARN 2022: 78-95 - Gadzhi Musaev
, Kevin Mets
, Rokas Tamosiunas
, Vadim Uvarov
, Tom De Schepper
, Peter Hellinckx
:
On-device Deep Learning Location Category Inference Model. BNAIC/BENELEARN 2022: 96-111 - Nico Roos:
Specificity and Context Dependent Preferences in Argumentation Systems. BNAIC/BENELEARN 2022: 112-132 - Rolf A. N. Starre, Marco Loog, Frans A. Oliehoek
:
Model-Based Reinforcement Learning with State Abstraction: A Survey. BNAIC/BENELEARN 2022: 133-148 - Paul C. Wallbott, Sascha Grollmisch
, Thomas Köllmer
:
Examining Speaker and Keyword Uniqueness: Partitioning Keyword Spotting Datasets for Federated Learning with the Largest Differencing Method. BNAIC/BENELEARN 2022: 167-177 - Luis A. Leiva
, Cédric Pruski
, Réka Markovich
, Amro Najjar
, Christoph Schommer
:
Artificial Intelligence and Machine Learning - 33rd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2021, Esch-sur-Alzette, Luxembourg, November 10-12, 2021, Revised Selected Papers. Communications in Computer and Information Science 1530, Springer 2022, ISBN 978-3-030-93841-3 [contents] - 2021
- Mattias Billast, Tom De Schepper
, Kevin Mets, Peter Hellinckx
, José Oramas
, Steven Latré:
Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. BNAIC/BENELEARN 2021: 86-102 - Augustijn de Boer
, Ron Hommelsheim
, David Leeftink
:
A Bayesian Framework for Evaluating Evolutionary Art. BNAIC/BENELEARN 2021: 141-152 - Pieter Floris Jacobs
, Gideon Maillette de Buy Wenniger
, Marco A. Wiering
, Lambert Schomaker
:
Active Learning for Reducing Labeling Effort in Text Classification Tasks. BNAIC/BENELEARN 2021: 3-29 - Benjamin Kap
, Marharyta Aleksandrova
, Thomas Engel
:
The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models. BNAIC/BENELEARN 2021: 120-140 - Emmanuel Kieffer
, Frédéric Pinel, Thomas Meyer, Georges Gloukoviezoff, Hakan Lucius, Pascal Bouvry
:
Proximal Policy Optimisation for a Private Equity Recommitment System. BNAIC/BENELEARN 2021: 203-217 - Ouren X. Kuiper
, Martin van den Berg
, Joost van der Burgt, Stefan Leijnen:
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities. BNAIC/BENELEARN 2021: 105-119 - Nicky Lenaers, Martijn van Otterlo:
Regular Decision Processes for Grid Worlds. BNAIC/BENELEARN 2021: 218-238 - Gaoyuan Liu
, Joris De Winter, Bram Vanderborght, Ann Nowé, Denis Steckelmacher
:
MoveRL: To a Safer Robotic Reinforcement Learning Environment. BNAIC/BENELEARN 2021: 239-253 - Martijn Oldenhof
, Adam Arany, Yves Moreau
, Jaak Simm:
Self-labeling of Fully Mediating Representations by Graph Alignment. BNAIC/BENELEARN 2021: 46-65 - François Robinet
, Raphaël Frank
:
Refining Weakly-Supervised Free Space Estimation Through Data Augmentation and Recursive Training. BNAIC/BENELEARN 2021: 30-45 - Niels J. Rouws, Svitlana Vakulenko, Sophia Katrenko:
Dutch SQuAD and Ensemble Learning for Question Answering from Labour Agreements. BNAIC/BENELEARN 2021: 155-169 - Akash Singh
, Tom De Schepper, Kevin Mets, Peter Hellinckx
, José Oramas
, Steven Latré:
Task Independent Capsule-Based Agents for Deep Q-Learning. BNAIC/BENELEARN 2021: 69-85 - Vinu Ellampallil Venugopal, P. Sreenivasa Kumar:
Verbalizing but Not Just Verbatim Translations of Ontology Axioms. BNAIC/BENELEARN 2021: 170-186 - Zhao Yang, Mike Preuss
, Aske Plaat:
Transfer Learning and Curriculum Learning in Sokoban. BNAIC/BENELEARN 2021: 187-200 - Mitra Baratchi
, Lu Cao
, Walter A. Kosters
, Jefrey Lijffijt
, Jan N. van Rijn
, Frank W. Takes
:
Artificial Intelligence and Machine Learning - 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected Papers. Communications in Computer and Information Science 1398, Springer 2021, ISBN 978-3-030-76639-9 [contents] - 2020
- Andrei C. Apostol, Maarten C. Stol, Patrick Forré:
FlipOut: Uncovering Redundant Weights via Sign Flipping. BNAIC/BENELEARN (Selected Papers) 2020: 15-29 - Paulo Alting von Geusau
, Peter Bloem
:
Evaluating the Robustness of Question-Answering Models to Paraphrased Questions. BNAIC/BENELEARN (Selected Papers) 2020: 1-14