modeling decisions for artificial intelligence

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Vicenc Torra - Yasuo Narukawa - Jordi Nin - Nüria Agell (Eds.) Modeling Decisions for Artificial Intelligence 17th International Conference, MDAI 2020 Sant Cugat, Spain, September 2-4, 2020 Proceedings 2) Springer

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Page 1: Modeling Decisions for Artificial Intelligence

Vicenc Torra - Yasuo Narukawa -Jordi Nin - Nüria Agell (Eds.)

Modeling Decisionsfor Artificial Intelligence17th International Conference, MDAI 2020Sant Cugat, Spain, September 2-4, 2020Proceedings

2) Springer

Page 2: Modeling Decisions for Artificial Intelligence

Contents

Aggregation Operators and Decision Making

A Characterization of Belief Merging Operators in the Regular HornFragment of Signed Logic . .

Pilar Dellunde

Bivariate Risk Measures and Stochastic Orders. . . . 3

Yuji Yoshida

Stochastic Orders on Two-Dimensional Space:Application to Cross Entropy . . . !

Mateu Sbert and Yuji Yoshida

Modeling Decisions in Al: Re-thinking Linda in Terms of Coherent Lowerand Upper Conditional Previsions . ... UÁ

Serena Doria and Alessandra Cenci

Ensemble Learning, Social Choice and Collective Intelligence:An Experimental Comparison of Aggregation Techniques . . . ,

Andrea Campagner, Davide Ciucci, and Federico Cabitza

An Unsupetvised Capacity Identification Approach Basedon Sobol’ Indices . ;

Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte,Michel Grabisch, and Jodo Marcos Travassos Romano

Probabilistic Measures and Integrals: How to Aggregate Imprecise Data ?Michal Boczek, Lenka Halcinová, Ondrej Hutník, and Marek Kaluszka

Distorted Probabilities and Bayesian Confirmation Measures ’Andrea Ellero and Paola Ferretti

Constructive k-Additive Measure and Decreasing Convergence Theorems . 4Ryoji Fukuda, Aoi Honda, and Yoshiaki Okazaki

Data science and Data Mining

Generalization Property of Fuzzy Classification Function for TsallisEntropy-Regularization of Bezdek-Type Fuzzy C-Means Clustering. j

Yuchi Kanzawa

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Page 3: Modeling Decisions for Artificial Intelligence

Contents

Nonparametric Bayesian Nonnegative Matrix Factorization. . s 2Hong-Bo Xie, Caoyuan Li, Kerrie Mengersen, Shuliang Wang,and Richard Yi Da Xu

SentiRank: A System to Integrate Aspect-Based Sentiment Analysisand Multi-criteria Decision Support. . . . “#2

Mohammed Jabreel, Najlaa Maaroof, Aida Valls, and Antonio Moreno

Efficient Detection of Byzantine Attacks in Federated Learning Using LastLayer Biases. . £A

Najeeb Jebreel, Alberto Blanco-Justicia, David Sánchez,and Josep Domingo-Ferrer

Multi-object Tracking Combines Motion and Visual Information. . . . :

Fan Wang, En Zhu, Lei Luo, and Jun Long

Classifying Candidate Axioms via Dimensionality Reduction Techniques. "79Dario Malchiodi, Célia da Costa Pereira, and Andrea G. B. Tettamanzi

Sampling Unknown Decision Functions to Build Classifier Copies . . 2Irene Unceta, Diego Palacios, Jordi Nin, and Oriol Pujol

Towards Analogy-Based Explanations in Machine Learning. . . .. ..... 5

Eyke Hiillermeier

An Improved Bi-level Multi-objective Evolutionary Algorithmfor the Production-Distribution Planning System . 3

Malek Abbassi, Abir Chaabani, and Lamjed Ben Said

Modifying the Symbolic Aggregate Approximation Method to CaptureSegment Trend Information . . . s )

Muhammad Marwan Muhammad Fuad

Efficiently Mining Gapped and Window Constraint Frequentsequentia] Patterns|..)Hugo Alatrista-Salas, Agustin Guevara-Cogorno, Yoshitomi Maehara,and Miguel Nunez-del-Prado

Aggregating News Reporting Sentiment by Means of HesitantLinguistic Terms. . . RN 32

Jennifer Nguyen, Albert Armisen, Nüria Agell, and Angel Saz

Decision Trees as a Tool for Data Analysis. Elections in Barcelona:À Case Study. . . 1

E. Armengol and A. García-Cerdafia

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Page 4: Modeling Decisions for Artificial Intelligence

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Explaining Misclassification and Attacks in Deep Learningvia Random Forests. . "

Rami Haffar, Josep Domingo-Ferrer, and David Sánchez

Fair-MDAV: An Algorithm for Fair Privacy by Microaggregation. )Julián Salas and Vladimiro González-Zelaya

Author Index .... 3

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