| 2023 | Semantic Enrichment of Explanations of AI Models for Healthcare. | Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi |
| 2023 | Knowledge-Guided Additive Modeling for Supervised Regression. | Yann Claes, Vn Anh Huynh-Thu, Pierre Geurts |
| 2023 | Unsupervised Graph Neural Networks for Source Code Similarity Detection. | Julien Cassagne, Ettore Merlo, Paula Branco, Guy-Vincent Jourdan, Iosif-Viorel Onut |
| 2023 | Unmasking COVID-19 False Information on Twitter: A Topic-Based Approach with BERT. | Riccardo Cantini, Cristian Cosentino, Irene Kilanioti, Fabrizio Marozzo, Domenico Talia |
| 2023 | Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features. | Maik Bttner, Christian Beyer, Myra Spiliopoulou |
| 2023 | Privacy-Preserving Learning of Random Forests Without Revealing the Trees. | Lukas-Malte Bammert, Stefan Kramer, Mattia Cerrato, Ernst Althaus |
| 2023 | A Collaborative Multi-objective Approach for Clustering Task Based on Distance Measures and Clustering Validity Indices. | Beatriz Flamia Azevedo, Ana Maria A. C. Rocha, Ana I. Pereira |
| 2023 | Jaccard-Constrained Dense Subgraph Discovery. | Chamalee Wickrama Arachchi, Nikolaj Tatti |
| 2023 | A Risk-Cost Analysis for an Increasingly Widespread Monitoring of Railway Lines. | Imma Lory Aprea, Chiara Donnini, Federica Gioia |
| 2023 | Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. | Fabrizio Angiulli, Fabio Fassetti, Simona Nistic, Luigi Palopoli |
| 2023 | GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. | Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba |
| 2023 | Which Way to Go - Finding Frequent Trajectories Through Clustering. | Thiago Andrade, Joo Gama |
| 2023 | Explainable Spatio-Temporal Graph Modeling. | Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo |
| 2023 | A Numerical Scheme for a Generalized Fractional Derivative with Variable Order. | Ricardo Almeida |
| 2022 | A Clustering-Inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences. | Ruben Franciscus Adrianus Verhaegh, Jacco Johannes Egbert Kiezebrink, Frank Nusteling, Arnaud Wander Andr Rio, Mrton Bendegz Bendicsek, Wouter Duivesteijn, Rianne Margaretha Schouten |
| 2022 | Explaining Crash Predictions on Multivariate Time Series Data. | Francesco Spinnato, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello, Antonio Bencini Farina |
| 2022 | Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction. | Blaz Skrlj, Boshko Koloski, Senja Pollak |
| 2022 | Model Optimization in Imbalanced Regression. | Anibal Silva, Rita P. Ribeiro, Nuno Moniz |
| 2022 | Predicting User Dropout from Their Online Learning Behavior. | Parisa Shayan, Menno van Zaanen, Martin Atzmueller |
| 2022 | A Fast Heuristic for Computing Geodesic Closures in Large Networks. | Florian Seiffarth, Tams Horvth, Stefan Wrobel |
| 2022 | MQ-OFL: Multi-sensitive Queue-based Online Fair Learning. | Farnaz Sadeghi, Herna L. Viktor |
| 2022 | Multi-fairness Under Class-Imbalance. | Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi |
| 2022 | Elastic Product Quantization for Time Series. | Pieter Robberechts, Wannes Meert, Jesse Davis |
| 2022 | Incremental Update of Locally Optimal Classification Rules. | Van Quoc Phuong Huynh, Florian Beck, Johannes Frnkranz |
| 2022 | Stress Detection from Wearable Sensor Data Using Gramian Angular Fields and CNN. | Michela Quadrini, Sebastian Daberdaku, Alessandro Blanda, Antonino Capuccio, Luca Bellanova, Gianluca Gerard |