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ORCID18th MDAI 2021: Umeå, Sweden
- Vicenç Torra
, Yasuo Narukawa:
Modeling Decisions for Artificial Intelligence - 18th International Conference, MDAI 2021, Umeå, Sweden, September 27-30, 2021, Proceedings. Lecture Notes in Computer Science 12898, Springer 2021, ISBN 978-3-030-85528-4
Invited Papers
- Jozo Dujmovic:
Andness-Directed Iterative OWA Aggregators. 3-16 - Maria Bras-Amorós, César Marín Rodríguez:
New Eliahou Semigroups and Verification of the Wilf Conjecture for Genus up to 65. 17-27 - Miguel Núñez del Prado Cortez, Julián Salas, Hugo Alatrista-Salas, Yoshitomi Maehara, David Megías:
Are Sequential Patterns Shareable? Ensuring Individuals' Privacy. 28-39
Aggregation Operators and Decision Making
- Ryoji Fukuda, Aoi Honda, Yoshiaki Okazaki:
On Two Generalizations for k-Additivity. 43-53 - Didier Dubois, Hélène Fargier, Romain Guillaume, Agnès Rico:
Sequential Decision-Making Under Uncertainty Using Hybrid Probability-Possibility Functions. 54-66 - Jozo Dujmovic:
Numerical Comparison of Idempotent Andness-Directed Aggregators. 67-77
Approximate Reasoning
- Malgorzata Lazecka, Jan Mielniczuk:
Multiple Testing of Conditional Independence Hypotheses Using Information-Theoretic Approach. 81-92 - Cristina E. Manfredotti, Paolo Viappiani:
A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty. 93-105 - Jirí Mockor:
How the F-Transform Can Be Defined for Hesitant, Soft or Intuitionistic Fuzzy Sets? 106-117 - Camilo A. Franco, Nicolás Hernández, Haydemar Núñez:
Enhancing Social Recommenders with Implicit Preferences and Fuzzy Confidence Functions. 118-130 - Zhenzhong Gao, Masahiro Inuiguchi:
A Necessity Measure of Fuzzy Inclusion Relation in Linear Programming Problems. 131-140
Machine Learning
- Anh Hoang, Toan Nguyen Mau, Van-Nam Huynh:
Mass-Based Similarity Weighted k-Neighbor for Class Imbalance. 143-155 - Alan J. Michaels, Lauren J. Wong:
Multinomial-Based Decision Synthesis of ML Classification Outputs. 156-167 - Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol:
Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. 168-180 - Fares Grina, Zied Elouedi, Eric Lefevre:
Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise. 181-192 - Ulf Johansson, Tuwe Löfström, Henrik Boström:
Well-Calibrated and Sharp Interpretable Multi-Class Models. 193-204 - Toan Nguyen Mau, Van-Nam Huynh:
Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering. 205-217 - Yuchi Kanzawa:
q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data. 218-230 - Pierluigi Bemportato, Gabriella Casalino, Giovanna Castellano, Gennaro Vessio:
Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning. 231-242 - Yukihiro Hamasuna, Shusuke Nakano, Yasunori Endo:
Network Clustering with Controlled Node Size. 243-256
Data Science and Data Privacy
- Poushali Sengupta, Subhankar Mishra:
Fairly Private Through Group Tagging and Relation Impact. 259-272 - David F. Nettleton, Sergio Nettleton, Marc Canal i Farriol:
MEDICI: A Simple to Use Synthetic Social Network Data Generator. 273-285 - Bahadorreza Ofoghi, Armita Zarnegar:
Answer Passage Ranking Enhancement Using Shallow Linguistic Features. 286-298 - Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia:
Neural Embedded Dirichlet Processes for Topic Modeling. 299-310 - Rui Maia, Cláudia Antunes:
Density-Based Evaluation Metrics in Unsupervised Anomaly Detection Contexts. 311-322 - Rami Haffar, Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez:
Explaining Image Misclassification in Deep Learning via Adversarial Examples. 323-334 - Josep Domingo-Ferrer, Alberto Blanco-Justicia:
Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control. 335-345
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