MDAI B

28 papers

YearTitle / Authors
2021A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty.
Cristina E. Manfredotti, Paolo Viappiani
2021A Necessity Measure of Fuzzy Inclusion Relation in Linear Programming Problems.
Zhenzhong Gao, Masahiro Inuiguchi
2021Andness-Directed Iterative OWA Aggregators.
Jozo Dujmovic
2021Answer Passage Ranking Enhancement Using Shallow Linguistic Features.
Bahadorreza Ofoghi, Armita Zarnegar
2021Are Sequential Patterns Shareable? Ensuring Individuals' Privacy.
Miguel Núñez del Prado Cortez, Julián Salas, Hugo Alatrista-Salas, Yoshitomi Maehara, David Megías
2021Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering.
Toan Nguyen Mau, Van-Nam Huynh
2021Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning.
Pierluigi Bemportato, Gabriella Casalino, Giovanna Castellano, Gennaro Vessio
2021Density-Based Evaluation Metrics in Unsupervised Anomaly Detection Contexts.
Rui Maia, Cláudia Antunes
2021Enhancing Social Recommenders with Implicit Preferences and Fuzzy Confidence Functions.
Camilo A. Franco, Nicolás Hernández, Haydemar Núñez
2021Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise.
Fares Grina, Zied Elouedi, Eric Lefevre
2021Explaining Image Misclassification in Deep Learning via Adversarial Examples.
Rami Haffar, Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez
2021Fairly Private Through Group Tagging and Relation Impact.
Poushali Sengupta, Subhankar Mishra
2021How the F-Transform Can Be Defined for Hesitant, Soft or Intuitionistic Fuzzy Sets?
Jirí Mockor
2021MEDICI: A Simple to Use Synthetic Social Network Data Generator.
David F. Nettleton, Sergio Nettleton, Marc Canal i Farriol
2021Mass-Based Similarity Weighted k-Neighbor for Class Imbalance.
Anh Hoang, Toan Nguyen Mau, Van-Nam Huynh
2021Modeling Decisions for Artificial Intelligence - 18th International Conference, MDAI 2021, Umeå, Sweden, September 27-30, 2021, Proceedings
Vicenç Torra, Yasuo Narukawa
2021Multinomial-Based Decision Synthesis of ML Classification Outputs.
Alan J. Michaels, Lauren J. Wong
2021Multiple Testing of Conditional Independence Hypotheses Using Information-Theoretic Approach.
Malgorzata Lazecka, Jan Mielniczuk
2021Network Clustering with Controlled Node Size.
Yukihiro Hamasuna, Shusuke Nakano, Yasunori Endo
2021Neural Embedded Dirichlet Processes for Topic Modeling.
Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
2021New Eliahou Semigroups and Verification of the Wilf Conjecture for Genus up to 65.
Maria Bras-Amorós, César Marín Rodríguez
2021Numerical Comparison of Idempotent Andness-Directed Aggregators.
Jozo Dujmovic
2021On Two Generalizations for k-Additivity.
Ryoji Fukuda, Aoi Honda, Yoshiaki Okazaki
2021Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems.
Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol
2021Sequential Decision-Making Under Uncertainty Using Hybrid Probability-Possibility Functions.
Didier Dubois, Hélène Fargier, Romain Guillaume, Agnès Rico
2021Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control.
Josep Domingo-Ferrer, Alberto Blanco-Justicia
2021Well-Calibrated and Sharp Interpretable Multi-Class Models.
Ulf Johansson, Tuwe Löfström, Henrik Boström
2021q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data.
Yuchi Kanzawa