| 2022 | Measuring Fairness in Machine Learning Models via Counterfactual Examples. | Rami Haffar, Ashneet Khandpur Singh, Josep Domingo-Ferrer, Najeeb Jebreel |
| 2022 | Optimality Analysis for Stochastic LP Problems. | Zhenzhong Gao, Masahiro Inuiguchi |
| 2022 | Deep Attributed Graph Embeddings. | Elisabetta Fersini, Simone Paolo Mottadelli, Michele Carbonera, Enza Messina |
| 2022 | A Strategic Approach Based on AND-OR Recommendation Trees for Updating Obsolete Information. | Salma Chaieb, Ali Ben Mrad, Brahim Hnich |
| 2022 | Re-calibrating Machine Learning Models Using Confidence Interval Bounds. | Andrea Campagner, Lorenzo Famiglini, Federico Cabitza |
| 2022 | Estimation of Prediction Error with Regression Trees. | Eva Armengol |
| 2022 | Geolocated Data Generation and Protection Using Generative Adversarial Networks. | Hugo Alatrista-Salas, Peter Montalvo-Garcia, Miguel Nez-del-Prado, Julin Salas |
| 2021 | Fairly Private Through Group Tagging and Relation Impact. | Poushali Sengupta, Subhankar Mishra |
| 2021 | Neural Embedded Dirichlet Processes for Topic Modeling. | Miguel Palencia-Olivar, Stphane Bonnevay, Alexandre Aussem, Bruno Canitia |
| 2021 | Answer Passage Ranking Enhancement Using Shallow Linguistic Features. | Bahadorreza Ofoghi, Armita Zarnegar |
| 2021 | MEDICI: A Simple to Use Synthetic Social Network Data Generator. | David F. Nettleton, Sergio Nettleton, Marc Canal i Farriol |
| 2021 | Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems. | Carlos Mougan, David Masip, Jordi Nin, Oriol Pujol |
| 2021 | How the F-Transform Can Be Defined for Hesitant, Soft or Intuitionistic Fuzzy Sets? | Jir Mockor |
| 2021 | Multinomial-Based Decision Synthesis of ML Classification Outputs. | Alan J. Michaels, Lauren J. Wong |
| 2021 | Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering. | Toan Nguyen Mau, Van-Nam Huynh |
| 2021 | A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty. | Cristina E. Manfredotti, Paolo Viappiani |
| 2021 | Density-Based Evaluation Metrics in Unsupervised Anomaly Detection Contexts. | Rui Maia, Cludia Antunes |
| 2021 | Multiple Testing of Conditional Independence Hypotheses Using Information-Theoretic Approach. | Malgorzata Lazecka, Jan Mielniczuk |
| 2021 | q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data. | Yuchi Kanzawa |
| 2021 | Well-Calibrated and Sharp Interpretable Multi-Class Models. | Ulf Johansson, Tuwe Lfstrm, Henrik Bostrm |
| 2021 | Mass-Based Similarity Weighted k-Neighbor for Class Imbalance. | Anh Hoang, Toan Nguyen Mau, Van-Nam Huynh |
| 2021 | Network Clustering with Controlled Node Size. | Yukihiro Hamasuna, Shusuke Nakano, Yasunori Endo |
| 2021 | Explaining Image Misclassification in Deep Learning via Adversarial Examples. | Rami Haffar, Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Snchez |
| 2021 | Evidential Undersampling Approach for Imbalanced Datasets with Class-Overlapping and Noise. | Fares Grina, Zied Elouedi, Eric Lefevre |
| 2021 | A Necessity Measure of Fuzzy Inclusion Relation in Linear Programming Problems. | Zhenzhong Gao, Masahiro Inuiguchi |