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17th MDAI 2020: Sant Cugat, Spain
- Vicenç Torra, Yasuo Narukawa, Jordi Nin, Núria Agell:
Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2-4, 2020, Proceedings. Lecture Notes in Computer Science 12256, Springer 2020, ISBN 978-3-030-57523-6
Aggregation Operators and Decision Making
- Pilar Dellunde:
A Characterization of Belief Merging Operators in the Regular Horn Fragment of Signed Logic. 3-15 - Yuji Yoshida:
Bivariate Risk Measures and Stochastic Orders. 16-27 - Mateu Sbert, Yuji Yoshida:
Stochastic Orders on Two-Dimensional Space: Application to Cross Entropy. 28-40 - Serena Doria, Alessandra Cenci:
Modeling Decisions in AI: Re-thinking Linda in Terms of Coherent Lower and Upper Conditional Previsions. 41-52 - Andrea Campagner, Davide Ciucci, Federico Cabitza:
Ensemble Learning, Social Choice and Collective Intelligence - An Experimental Comparison of Aggregation Techniques. 53-65 - Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano:
An Unsupervised Capacity Identification Approach Based on Sobol' Indices. 66-77 - Michal Boczek, Lenka Halcinová, Ondrej Hutník, Marek Kaluszka:
Probabilistic Measures and Integrals: How to Aggregate Imprecise Data. 78-91 - Andrea Ellero, Paola Ferretti:
Distorted Probabilities and Bayesian Confirmation Measures. 92-103 - Ryoji Fukuda, Aoi Honda, Yoshiaki Okazaki:
Constructive k-Additive Measure and Decreasing Convergence Theorems. 104-116
Data science and Data Mining
- Yuchi Kanzawa:
Generalization Property of Fuzzy Classification Function for Tsallis Entropy-Regularization of Bezdek-Type Fuzzy C-Means Clustering. 119-131 - Hong-Bo Xie, Caoyuan Li, Kerrie L. Mengersen, Shuliang Wang, Richard Yi Da Xu:
Nonparametric Bayesian Nonnegative Matrix Factorization. 132-141 - Mohammed Jabreel, Najlaa Maaroof, Aïda Valls, Antonio Moreno:
SentiRank: A System to Integrate Aspect-Based Sentiment Analysis and Multi-criteria Decision Support. 142-153 - Najeeb Jebreel, Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer:
Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases. 154-165 - Fan Wang, En Zhu, Lei Luo, Jun Long:
Multi-object Tracking Combines Motion and Visual Information. 166-178 - Dario Malchiodi, Célia da Costa Pereira, Andrea G. B. Tettamanzi:
Classifying Candidate Axioms via Dimensionality Reduction Techniques. 179-191 - Irene Unceta, Diego Palacios, Jordi Nin, Oriol Pujol:
Sampling Unknown Decision Functions to Build Classifier Copies. 192-204 - Eyke Hüllermeier:
Towards Analogy-Based Explanations in Machine Learning. 205-217 - Malek Abbassi, Abir Chaabani, Lamjed Ben Said:
An Improved Bi-level Multi-objective Evolutionary Algorithm for the Production-Distribution Planning System. 218-229 - Muhammad Marwan Muhammad Fuad:
Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information. 230-239 - Hugo Alatrista-Salas, Agustin Guevara-Cogorno, Yoshitomi Maehara, Miguel Núñez-del-Prado:
Efficiently Mining Gapped and Window Constraint Frequent Sequential Patterns. 240-251 - Jennifer Nguyen, Albert Armisen, Núria Agell, Ángel Saz:
Aggregating News Reporting Sentiment by Means of Hesitant Linguistic Terms. 252-260 - Eva Armengol, Àngel García-Cerdaña:
Decision Trees as a Tool for Data Analysis. Elections in Barcelona: A Case Study. 261-272 - Rami Haffar, Josep Domingo-Ferrer, David Sánchez:
Explaining Misclassification and Attacks in Deep Learning via Random Forests. 273-285 - Julián Salas, Vladimiro González-Zelaya:
Fair-MDAV: An Algorithm for Fair Privacy by Microaggregation. 286-297
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