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| 2023 | Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments. Takayasu Fushimi, Kazuki Sakamoto |
| 2023 | Boosting-Based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks. Yiping Tang, Kohei Hatano, Eiji Takimoto |
| 2023 | Chance and the Predictive Limit in Basketball (Both College and Professional). Albrecht Zimmermann |
| 2023 | Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò, Luigi Palopoli |
| 2023 | Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, Pedro H. Abreu |
| 2023 | EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories. Francesca Naretto, Roberto Pellungrini, Salvatore Rinzivillo, Daniele Fadda |
| 2023 | Enhancing Intra-modal Similarity in a Cross-Modal Triplet Loss. Mario Mallea, Ricardo Ñanculef, Mauricio Araya |
| 2023 | Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning. Adriane Beatriz de Souza Serapião, Zahra Donyavi, Gustavo Batista |
| 2023 | Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals. Rafael M. Mamede, Nuno Paiva, João Gama |
| 2023 | Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin |
| 2023 | Explainable Spatio-Temporal Graph Modeling. Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo |
| 2023 | Explaining the Chronological Attribution of Greek Papyri Images. John Pavlopoulos, Maria Konstantinidou, Georgios Vardakas, Isabelle Marthot-Santaniello, Elpida Perdiki, Dimitris Koutsianos, Aristidis Likas, Holger Essler |
| 2023 | Exploring Label Correlations for Quantification of ICD Codes. Isabel Coutinho, Bruno Martins |
| 2023 | Exploring the Intricacies of Neural Network Optimization. Rafael Teixeira, Mário Antunes, Rúben Sobral, João Martins, Diogo Gomes, Rui L. Aguiar |
| 2023 | Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy. Christoph Sandrock, Marek Herde, Daniel Kottke, Bernhard Sick |
| 2023 | Exploring the Reduction of Configuration Spaces of Workflows. Fernando Freitas, Pavel Brazdil, Carlos Soares |
| 2023 | Extrapolation is Not the Same as Interpolation. Yuxuan Wang, Ross D. King |
| 2023 | Fairness-Aware Mixture of Experts with Interpretability Budgets. Joe Germino, Nuno Moniz, Nitesh V. Chawla |
| 2023 | From Tweets to Stance: An Unsupervised Framework for User Stance Detection on Twitter. Margherita Gambini, Caterina Senette, Tiziano Fagni, Maurizio Tesconi |
| 2023 | GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba |
| 2023 | GenFair: A Genetic Fairness-Enhancing Data Generation Framework. Federico Mazzoni, Marta Marchiori Manerba, Martina Cinquini, Riccardo Guidotti, Salvatore Ruggieri |
| 2023 | Gene Interactions in Survival Data Analysis: A Data-Driven Approach Using Restricted Mean Survival Time and Literature Mining. Jaka Kokosar, Martin Spendl, Blaz Zupan |
| 2023 | HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor |
| 2023 | Interpretable Data Partitioning Through Tree-Based Clustering Methods. Riccardo Guidotti, Cristiano Landi, Andrea Beretta, Daniele Fadda, Mirco Nanni |
| 2023 | Jaccard-Constrained Dense Subgraph Discovery. Chamalee Wickrama Arachchi, Nikolaj Tatti |
| 2023 | Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features. Maik Büttner, Christian Beyer, Myra Spiliopoulou |
| 2023 | Knowledge-Guided Additive Modeling for Supervised Regression. Yann Claes, Vân Anh Huynh-Thu, Pierre Geurts |
| 2023 | LGEM Alexander H. Gower, Konstantin Korovin, Daniel Brunnsåker, Ievgeniia A. Tiukova, Ross D. King |
| 2023 | Leveraging the Spatiotemporal Analysis of Meisho-e Landscapes. Konstantina Liagkou, John Pavlopoulos, Ewa Machotka |
| 2023 | Multi-kernel Times Series Outlier Detection. Florian Kalinke, Edouard Fouché, Haiko Thiessen, Klemens Böhm |
| 2023 | Predicting Age from Human Lung Tissue Through Multi-modal Data Integration. Athos Moraes, Marta Moreno, Rogério Ribeiro, Pedro G. Ferreira |
| 2023 | Predictive Inference Model of the Physical Environment that Emulates Predictive Coding. Eri Kuroda, Ichiro Kobayashi |
| 2023 | Privacy-Preserving Learning of Random Forests Without Revealing the Trees. Lukas-Malte Bammert, Stefan Kramer, Mattia Cerrato, Ernst Althaus |
| 2023 | Probabilistic Scoring Lists for Interpretable Machine Learning. Jonas Hanselle, Johannes Fürnkranz, Eyke Hüllermeier |
| 2023 | Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes. Yuta Sumiya, Ryusei Numata, Satoshi Takahashi |
| 2023 | RIMBO - An Ontology for Model Revision Databases. Filip Kronström, Alexander H. Gower, Ievgeniia A. Tiukova, Ross D. King |
| 2023 | Refining Temporal Visualizations Using the Directional Coherence Loss. Pavlin G. Policar, Blaz Zupan |
| 2023 | Semantic Enrichment of Explanations of AI Models for Healthcare. Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi |
| 2023 | Text to Time Series Representations: Towards Interpretable Predictive Models. Mattia Poggioli, Francesco Spinnato, Riccardo Guidotti |
| 2023 | Toward Streamlining the Evaluation of Novelty Detection in Data Streams. Jean-Gabriel Gaudreault, Paula Branco |
| 2023 | Transferring a Learned Qualitative Cart-Pole Control Model to Uneven Terrains. Domen Soberl, Ivan Bratko |
| 2023 | Unlearning Spurious Correlations in Chest X-Ray Classification. Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee |
| 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 | Unsupervised Graph Neural Networks for Source Code Similarity Detection. Julien Cassagne, Ettore Merlo, Paula Branco, Guy-Vincent Jourdan, Iosif-Viorel Onut |
| 2023 | Unsupervised Key-Phrase Extraction from Long Texts with Multilingual Sentence Transformers. Hélder Dias, Artur Guimarães, Bruno Martins, Mathieu Roche |
| 2023 | Which Way to Go - Finding Frequent Trajectories Through Clustering. Thiago Andrade, João Gama |
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