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ORCID20th MDAI 2023: Umeå, Sweden
- Vicenç Torra
, Yasuo Narukawa:
Modeling Decisions for Artificial Intelligence - 20th International Conference, MDAI 2023, Umeå, Sweden, June 19-22, 2023, Proceedings. Lecture Notes in Computer Science 13890, Springer 2023, ISBN 978-3-031-33497-9
Plenary Talk
- Jozo Dujmovic, Vicenç Torra:
Logic Aggregators and Their Implementations. 3-42
Decision Making and Uncertainty
- Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Multi-target Decision Making Under Conditions of Severe Uncertainty. 45-57 - Ryoji Fukuda, Aoi Honda, Yoshiaki Okazaki:
Constructive Set Function and Extraction of a k-dimensional Element. 58-69 - Serena Doria, Bilel Selmi:
Coherent Upper Conditional Previsions Defined by Fractal Outer Measures to Represent the Unconscious Activity of Human Brain. 70-82 - Michal Boczek, Ondrej Hutník, Miriam Kleinová:
Discrete Chain-Based Choquet-Like Operators. 83-95 - Adam Seliga:
On a New Generalization of Decomposition Integrals. 96-105 - Martin Kalina:
Bipolar OWA Operators with Continuous Input Function. 106-117
Machine Learning and Data Science
- Tomasz Klonecki, Pawel Teisseyre, Jaesung Lee:
Cost-constrained Group Feature Selection Using Information Theory. 121-132 - Ulf Johansson, Tuwe Löfström, Cecilia Sönströd, Helena Löfström:
Conformal Prediction for Accuracy Guarantees in Classification with Reject Option. 133-145 - Eva Armengol:
Adapting the Gini's Index for Solving Predictive Tasks. 146-156 - Malgorzata Lazecka:
Bayesian Logistic Model for Positive and Unlabeled Data. 157-168 - Simon Schwan, Verena Klös, Sabine Glesner:
A Goal-Oriented Specification Language for Reinforcement Learning. 169-180 - Anton Johansson, Niklas Engsner, Claes Strannegård, Petter Mostad:
Improved Spectral Norm Regularization for Neural Networks. 181-201 - Vladimiro González-Zelaya, Julián Salas, Dennis Prangle, Paolo Missier:
Preprocessing Matters: Automated Pipeline Selection for Fair Classification. 202-213 - Ana Paula Galarreta, Hugo Alatrista-Salas, Miguel Núñez-del-Prado:
Predicting Next Whereabouts Using Deep Learning. 214-225 - Yuchi Kanzawa:
A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size. 226-237
Data Privacy
- Hikaru Horigome, Hiroaki Kikuchi, Chia-Mu Yu:
Local Differential Privacy Protocol for Making Key-Value Data Robust Against Poisoning Attacks. 241-252 - Julián Salas, Vladimiro González-Zelaya, Vicenç Torra, David Megías:
Differentially Private Graph Publishing Through Noise-Graph Addition. 253-264
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