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ORCID16th MDAI 2019: Milan, Italy
- Vicenç Torra, Yasuo Narukawa, Gabriella Pasi, Marco Viviani:
Modeling Decisions for Artificial Intelligence - 16th International Conference, MDAI 2019, Milan, Italy, September 4-6, 2019, Proceedings. Lecture Notes in Computer Science 11676, Springer 2019, ISBN 978-3-030-26772-8
Aggregation Operators and Decision Making
- Michal Boczek
, Anton Hovana, Ondrej Hutník:
General Chebyshev Type Inequality for Seminormed Fuzzy Integral. 3-16 - Jun Kawabe:
Convergence in Measure Theorems of the Choquet Integral Revisited. 17-28 - Yuji Yoshida:
Risk-Sensitive Markov Decision Under Risk Constraints with Coherent Risk Measures. 29-40 - Radko Mesiar, Anna Kolesárová, Adam Seliga, Javier Montero, Daniel Gómez:
Set-Based Extended Functions. 41-51 - Emilio Celotto, Andrea Ellero, Paola Ferretti:
Fuzzy Confirmation Measures (a)symmetry Properties. 52-63 - Marco De Grandis, Gabriella Pasi, Marco Viviani:
Fake News Detection in Microblogging Through Quantifier-Guided Aggregation. 64-76 - Hang Luo:
Individual, Coalitional and Structural Influence in Group Decision-Making. 77-91 - Marta Cardin:
Betweenness Spaces: Morphism and Aggregation Functions. 92-97 - Jimmy Devillet, Gergely Kiss, Jean-Luc Marichal:
On Idempotent n-ary Uninorms. 98-104 - Maris Krastins:
On Aggregation of Risk Levels Using T-Conorms. 105-112 - Vicenç Torra, Joaquín García-Alfaro:
Towards an Adaptive Defuzzification: Using Numerical Choquet Integral. 113-125 - Martin Kalina:
Uninorms and Nullnorms and their Idempotent Versions on Bounded Posets. 126-137 - Yasuo Narukawa, Vicenç Torra:
Derivative for Discrete Choquet Integrals. 138-147
Data Science and Data Mining
- Wei Song, Xuesong Li:
A Non-Negative Matrix Factorization for Recommender Systems Based on Dynamic Bias. 151-163 - Raúl Parada, Jordi Font, Jordi Casas-Roma:
Forecasting Water Levels of Catalan Reservoirs. 164-176 - Gabriella Casalino, Giovanna Castellano, Arianna Consiglio, Maria Liguori, Nicoletta Nuzziello, Davide Primiceri:
A Predictive Model for MicroRNA Expressions in Pediatric Multiple Sclerosis Detection. 177-188 - Yuchi Kanzawa:
On Collaborative Filtering with Possibilistic Clustering for Spherical Data Based on Tsallis Entropy. 189-200 - Federico Cabitza, Andrea Campagner, Davide Ciucci, Andrea Seveso:
Programmed Inefficiencies in DSS-Supported Human Decision Making. 201-212 - Ignacio González García, Alfonso Mateos:
Multilayer Identification: Combining N-Grams, TF-IDF and Monge-Elkan in Massive Real Time Processing. 213-223 - Raoua Abdelkhalek, Imen Boukhris, Zied Elouedi:
An Evidential Clustering for Collaborative Filtering Based on Users' Preferences. 224-235 - Sara Bevilacqua, Célia da Costa Pereira, Eric Guerci, Frédéric Precioso, Claudio Sartori:
Analysing the Impact of Rationality on the Italian Electricity Market. 236-247 - Eva Armengol, Zaida Vicente:
Analysis of Abstention in the Elections to the Catalan Parliament by Means of Decision Trees. 248-258 - Rafael Peñaloza:
Making Decisions with Knowledge Base Repairs. 259-271 - Yukihiro Hamasuna, Yuto Kingetsu, Shusuke Nakano:
k-Medoids Clustering Based on Kernel Density Estimation and Jensen-Shannon Divergence. 272-282 - Federico Cabitza:
Biases Affecting Human Decision Making in AI-Supported Second Opinion Settings. 283-294 - Szidónia Lefkovits, László Lefkovits, László Szilágyi:
Applications of Different CNN Architectures for Palm Vein Identification. 295-306 - Nikolas Alexander Huhnstock, Alexander Karlsson, Maria Riveiro, H. Joe Steinhauer:
An Infinite Replicated Softmax Model for Topic Modeling. 307-318 - Takuya Fukushima, Taku Hasegawa, Tomoharu Nakashima:
Estimating Optimal Values for Intentional-Value-Substitution Learning. 319-329
Data Privacy and Security
- Jordi Soria-Comas, Josep Domingo-Ferrer, Rafael Mulero-Vellido:
Efficient Near-Optimal Variable-Size Microaggregation. 333-345 - Jordi Soria-Comas, Josep Domingo-Ferrer:
Mitigating the Curse of Dimensionality in Data Anonymization. 346-355
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