| 2024 | Explaining Image Classifiers with Visual Debates. | Avinash Kori, Ben Glocker, Francesca Toni |
| 2024 | AutoML-Guided Fusion of Entity and LLM-Based Representations for Document Classification. | Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj |
| 2024 | Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams. | Kirsten Kbschall, Lisa Hartung, Stefan Kramer |
| 2024 | Open-Set Named Entity Recognition: A Preliminary Study. | Angelo Impedovo, Giuseppe Rizzo, Antonio Di Mauro |
| 2024 | Detection of Periodical Patterns and Contextual Anomalies in Data Streams. | Alexander Hartl, Flix Iglesias Vzquez, Tanja Zseby |
| 2024 | A Generative Adversarial Graph Neural Network for Synthetic Time Series Data. | Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton |
| 2024 | WAIT, I Can Explain! Introducing Weighted AI Integration for Tailored Explanations. | Claudio Giovannoni |
| 2024 | Graph evolution rules for node temporal behavior representation. | Alessia Galdeman, Matteo Zignani, Christian Quadri, Sabrina Gaito |
| 2024 | Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity. | Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella |
| 2024 | Towards a Multimodal Framework for Remote Sensing Image Change Retrieval and Captioning. | Roger Ferrod, Luigi Di Caro, Dino Ienco |
| 2024 | This Sounds Like That: Explainable Audio Classification via Prototypical Parts. | Andrea Fedele, Riccardo Guidotti, Dino Pedreschi |
| 2024 | T-REX: A Framework to Build Trustworthy Recommenders of Evidence Explanation. | Andrea Fedele, Mattia Franchi de' Cavalieri, Cristiano Landi, Clara Punzi, Stefano Tramacere |
| 2024 | Utility vs Usability: Towards a Search for Balance in Subgroup Discovery Problems. | Reynald Eugenie, Erick Stattner |
| 2024 | Enhancing Recommendation Systems' Performance with Network-Oriented Negative Sampling. | Elif Ece Erdem, Gnce Keziban Orman |
| 2024 | Towards AI-Based Data Analytics for Environmental Monitoring. | Angelica Lo Duca, Rosa Lo Duca |
| 2024 | Network-wide shocking events through the lens of node representation shift. | Manuel Dileo, Matteo Zignani |
| 2024 | Evaluation of Geographical Distortions in Language Models. | Rmy Decoupes, Roberto Interdonato, Mathieu Roche, Maguelonne Teisseire, Sarah Valentin |
| 2024 | Exploiting Large Language Models for Enhanced Review Classification Explanations Through Interpretable and Multidimensional Analysis. | Cristian Cosentino, Merve Gndz-Cre, Fabrizio Marozzo, Sule ztrk-Birim |
| 2024 | Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection. | Carmela Comito, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani |
| 2024 | Structure-Attribute Similarity Interplay in Diffusion Dynamics on Social Networks. | Salvatore Citraro, Valentina Pansanella, Giulio Rossetti |
| 2024 | Science-Gym: A Simple Testbed for AI-Driven Scientific Discovery. | Mattia Cerrato, Nicholas Schmitt, Lennart Baur, Edward Finkelstein, Selina Jukic, Lars Mnzel, Felix Peter Paul, Pascal Pfannes, Benedikt Rohr, Julius Schellenberg, Philipp Wolf, Stefan Kramer |
| 2024 | Forecasting with Deep Learning: Beyond Average of Average of Average Performance. | Vtor Cerqueira, Luis Roque, Carlos Soares |
| 2024 | Social Isolation, Digital Connection: COVID-19's Impact on Twitter Ego Networks. | Kamer Cekini, Elisabetta Biondi, Chiara Boldrini, Andrea Passarella, Marco Conti |
| 2024 | SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics. | Antonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfr, Francesco Morandin, Maurizio Parton |
| 2024 | Interpretable Machine Learning for Oral Lesion Diagnosis Through Prototypical Instances Identification. | Alessio Cascione, Mattia Setzu, Federico A. Galatolo, Mario G. C. A. Cimino, Riccardo Guidotti |