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ORCID19th MDAI 2022: Sant Cugat, Spain
- Vicenç Torra
, Yasuo Narukawa:
Modeling Decisions for Artificial Intelligence - 19th International Conference, MDAI 2022, Sant Cugat, Spain, August 30 - September 2, 2022, Proceedings. Lecture Notes in Computer Science 13408, Springer 2022, ISBN 978-3-031-13447-0
Decision Making and Uncertainty
- Zhenzhong Gao, Masahiro Inuiguchi:
Optimality Analysis for Stochastic LP Problems. 3-14 - Olga Porro, Núria Agell, Mónica Sánchez, Francisco Javier Ruiz:
A Multi-perceptual-Based Approach for Group Decision Aiding. 15-25 - Magdalena Ivanovska, Marija Slavkovik:
Probabilistic Judgement Aggregation by Opinion Update. 26-37 - Jirí Mockor, Petr Hurtík:
Semiring-Valued Fuzzy Rough Sets and Colour Segmentation. 38-50
Data Privacy
- Nicolás Ruiz, Josep Domingo-Ferrer:
Bistochastic Privacy. 53-67 - Hikaru Horigome, Hiroaki Kikuchi:
Improvement of Estimate Distribution with Local Differential Privacy. 68-79 - Hugo Alatrista-Salas, Peter Montalvo-Garcia, Miguel Núñez-del-Prado, Julián Salas:
Geolocated Data Generation and Protection Using Generative Adversarial Networks. 80-91
Machine Learning and Data Science
- Salma Chaieb, Ali Ben Mrad, Brahim Hnich:
A Strategic Approach Based on AND-OR Recommendation Trees for Updating Obsolete Information. 95-107 - José Vicente Egas López, Gábor Gosztolya:
Identification of Subjects Wearing a Surgical Mask from Their Speech by Means of X-vectors and Fisher Vectors. 108-118 - Rami Haffar, Ashneet Khandpur Singh, Josep Domingo-Ferrer, Najeeb Jebreel:
Measuring Fairness in Machine Learning Models via Counterfactual Examples. 119-131 - Andrea Campagner, Lorenzo Famiglini, Federico Cabitza:
Re-calibrating Machine Learning Models Using Confidence Interval Bounds. 132-142 - Mary Roszel, Robert Norvill, Radu State:
An Analysis of Byzantine-Tolerant Aggregation Mechanisms on Model Poisoning in Federated Learning. 143-155 - Thanasis Zoumpekas, Maria Salamó, Anna Puig:
Effective Early Stopping of Point Cloud Neural Networks. 156-167 - Aoi Honda, Yudai Kamata, Simon James:
Representation and Interpretability of IE Integral Neural Networks. 168-180 - Elisabetta Fersini, Simone Paolo Mottadelli, Michele Carbonera, Enza Messina:
Deep Attributed Graph Embeddings. 181-192 - Eva Armengol:
Estimation of Prediction Error with Regression Trees. 193-202
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