| 2024 | Declarative Pattern Mining in Network Security. | Gioacchino Sterlicchio, Francesca Alessandra Lisi |
| 2024 | FairTrader: A Method to Smoothly Control the Performance-Fairness Trade-Off. | Kiara Stempel, Stefan Kramer |
| 2024 | Latent Embedding Based on a Transcription-Decay Decomposition of mRNA Dynamics Using Self-supervised CoxPH. | Martin Spendl, Tomaz Curk, Blaz Zupan |
| 2024 | A Dataset for the Fine-tuning of LLM for the NER Task in the Cyber Security Domain. | Stefano Silvestri, Giuseppe Felice Russo, Giuseppe Tricomi, Mario Ciampi |
| 2024 | TAFT: A Transformer-Based Approach for Format Transformation. | Erik Schnwlder, Julius Gonsior, Anja Reusch, Claudio Hartmann, Wolfgang Lehner |
| 2024 | Play it Straight: An Intelligent Data Pruning Technique for Green-AI. | Francesco Scala, Sergio Flesca, Luigi Pontieri |
| 2024 | Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model. | Fabio Michele Russo, Carlo Metta, Anna Monreale, Salvatore Rinzivillo, Fabio Pinelli |
| 2024 | Hardware acceleration for ultra-fast Neural Network training on FPGA for MRF map reconstruction. | Mattia Ricchi |
| 2024 | An Attention-Based CNN Approach to Detect Forest Tree Dieback Caused by Insect Outbreak in Sentinel-2 Images. | Vito Recchia, Giuseppina Andresini, Annalisa Appice, Gianpietro Fontana, Donato Malerba |
| 2024 | Topological degree as a discrete diagnostic for disentanglement, with applications to the ΔVAE⋆. | Mahefa Ratsisetraina Ravelonanosy, Vlado Menkovski, Jacobus W. Portegies |
| 2024 | Evaluating the Reliability of Self-explanations in Large Language Models. | Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren |
| 2024 | Faithfulness of Local Explanations for Tree-Based Ensemble Models. | Amir Hossein Akhavan Rahnama, Pierre Geurts, Henrik Bostrm |
| 2024 | L2loRe: a method for explaining the reject option. | Clara Punzi, Roberto Pellungrini, Fosca Giannotti |
| 2024 | Quantifying Attraction to Extreme Opinions in Online Debates. | Davide Perra, Andrea Failla, Giulio Rossetti |
| 2024 | Combining SHAP-Driven Co-clustering and Shallow Decision Trees to Explain XGBoost. | Ruggero G. Pensa, Anton Crombach, Sergio Peignier, Christophe Rigotti |
| 2024 | Multimodal Heterogeneous Transfer Learning for Multilingual Image-Text Classification. | Andrea Pedrotti, Alejandro Moreo, Fabrizio Sebastiani |
| 2024 | Revisiting Silhouette Aggregation. | John Pavlopoulos, Georgios Vardakas, Aristidis Likas |
| 2024 | Fast and Understandable Nonlinear Supervised Dimensionality Reduction. | Anri Patron, Rafael Savvides, Lauri Franzon, Hoang Phuc Hau Luu, Kai Puolamki |
| 2024 | Resource-Constrained Binary Image Classification. | Sean Park, Jrg Wicker, Katharina Dost |
| 2024 | Synthesizing naturalistic visual textures with multiscale, nonlinear constraints using deep neural samplers. | Ludovica de Paolis, Paolo Muratore, Eugenio Piasini |
| 2024 | VADA: A Data-Driven Simulator for Nanopore Sequencing. | Jonas Niederle, Simon M. Koop, Marc Pags-Gallego, Vlado Menkovski |
| 2024 | TETRA: TExtual TRust Analyzer for a Gricean Approach to Social Networks. | Federico Mazzoni, Simona Mazzarino, Giulio Rossetti |
| 2024 | MID: A New Strategy for Learning Optimal Decision Trees on Continuous Data. | Antonio Dal Maso, Harold Silvre Kiossou, Siegfried Nijssen |
| 2024 | What's Real News Today? A Multimodal, Continual-Learning Approach for Detecting Fake News Over Time. | Luca Maiano, Martina Evangelisti, Silvia Bianchini, Aris Anagnostopoulos |
| 2024 | Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks. | Michail Koumpanakis, Ricardo Vilalta |