| 2024 | Investigating the Hurtfulness of Misogynistic Tweets Across Professions. | Alessio Cascione, Aldo Cerulli, Marta Marchiori Manerba, Lucia C. Passaro |
| 2024 | Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation. | Riccardo Cantini, Giada Cosenza, Alessio Orsino, Domenico Talia |
| 2024 | Handling the Challenges of Microbiome Data through Supervised Autoencoders for the Non-invasive Disease Diagnosis. | Veronica Buttaro, Michelangelo Ceci, Gianvito Pio |
| 2024 | Residuals for Equation Discovery. | Jannis Brugger, Viktor Pfanschilling, Mira Mezini, Stefan Kramer |
| 2024 | Explaining Urban Vehicle Emissions in Rome. | Matteo Bhm, Patricio Reyes, Mirco Nanni, Luca Pappalardo |
| 2024 | Approximate Compression of CNF Concepts. | Sieben Bocklandt, Vincent Derkinderen, Angelika Kimmig, Luc De Raedt |
| 2024 | ETIA: Towards an Automated Causal Discovery Pipeline. | Konstantina Biza, Antonios Ntroumpogiannis, Sofia Triantafillou, Ioannis Tsamardinos |
| 2024 | Enhancing Industrial Control Systems Security: Real-Time Anomaly Detection with Uncertainty Estimation. | Ermiyas Birihanu, Ayyoub Soullami, Imre Lendk |
| 2024 | Multivariate Asynchronous Shapelets for Imbalanced Car Crash Predictions. | Mario Bianchi, Francesco Spinnato, Riccardo Guidotti, Daniele Maccagnola, Antonio Bencini Farina |
| 2024 | Leveraging Time-Aware Causal Algorithmic Recourse for Promoting Fairness⋆. | Isacco Beretta, Martina Cinquini |
| 2024 | Random Forests for Heteroscedastic Data. | Hugo Bellamy, Ross D. King |
| 2024 | Pairwise Difference Learning for Classification. | Mohamed Karim Belaid, Maximilian Rabus, Eyke Hllermeier |
| 2024 | Exploring Data Point Interactions: A Dual Representation Approach for Enhanced Machine Learning. | Mohamed Karim Belaid |
| 2024 | Learning Deep Rule Concepts as Alternating Boolean Pattern Trees. | Florian Beck, Johannes Frnkranz, Van Quoc Phuong Huynh |
| 2024 | CNP-MLDM: Contract Net Protocol for Negotiation in Machine Learning Data Market. | Hajar Baghcheband, Carlos Soares, Lus Paulo Reis |
| 2024 | Asset Subsets Identification via Investment Universe Complex Network. | Mert Arda Asar, Gnce Keziban Orman |
| 2024 | Improving the Performance of Already Trained Classifiers Through an Automatic Explanation-Based Learning Approach. | Andrea Apicella, Salvatore Giugliano, Francesco Isgr, Roberto Prevete |
| 2024 | Large Language Models-Based Local Explanations of Text Classifiers. | Fabrizio Angiulli, Francesco De Luca, Fabio Fassetti, Simona Nistic |
| 2024 | A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning. | Flora Angileri, Giulia Lombardi, Andrea Fois, Renato Faraone, Carlo Metta, Michele Salvi, Luigi Amedeo Bianchi, Marco Fantozzi, Silvia Giulia Galfr, Daniele Pavesi, Maurizio Parton, Francesco Morandin |
| 2024 | Dress-p.i.n.k.: an easy-to-use digital tool for Health Promotion and Community-Based Participatory Prevention of Breast Cancer. | Giada Anastasi, Daniela Gasperini, Michela Franchini, Stefania Pieroni, Francesca Denoth, Alessia Formica, Sonia Cerrai, Corrado Fizzarotti, Sabrina Molinaro |
| 2024 | A Proposal for Uncovering Hidden Social Bots via Genetic Similarity. | Edoardo Allegrini, Edoardo Di Paolo, Marinella Petrocchi, Angelo Spognardi |
| 2024 | Splitting Stump Forests: Tree Ensemble Compression for Edge Devices. | Fouad Alkhoury, Pascal Welke |
| 2024 | Interpretable Graph Neural Networks for Heterogeneous Tabular Data. | Amr Alkhatib, Henrik Bostrm |
| 2024 | ITERADE - ITERative Anomaly Detection Ensemble for Credit Card Fraud Detection. | Bahar Emami Afshar, Paula Branco, Tolga Kurt, Utku Grkem Ketenci, Hikmet Mazmanoglu |
| 2023 | Chance and the Predictive Limit in Basketball (Both College and Professional). | Albrecht Zimmermann |