| 2024 | DIS | 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 |
| 2023 | DATA | Dense Information Retrieval on a Latin Digital Library via LaBSE and LatinBERT Embeddings. | Federico A. Galatolo, Gabriele Martino, Mario G. C. A. Cimino, Chiara Ombretta Tommasi |
| 2023 | GECCO | Swarms of Artificial Platelets for Emergent Hole Detection and Healing in Wireless Sensor Networks. | Giada Simionato, Federico A. Galatolo, Mario G. C. A. Cimino |
| 2023 | ICPRAM | TeTIm-Eval: A Novel Curated Evaluation Data Set for Comparing Text-to-Image Models. | Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti |
| 2022 | CogSIMA | Enhancing land subsidence awareness via InSAR data and Deep Transformers. | Diana Orlandi, Federico A. Galatolo, Mario G. C. A. Cimino, Alessandro La Rosa, Carolina Pagli, Nicola Perilli |
| 2022 | IJCCI | Deep Learning of Structural Changes in Historical Buildings: The Case Study of the Pisa Tower. | Mario G. C. A. Cimino, Federico A. Galatolo, Marco Parola, Nicola Perilli, Nunziante Squeglia |
| 2021 | EUC | Multi-objective optimization of water distribution networks via NSGA-II and Pseudo-Weights. | Samar Ben Ammar, Mario G. C. A. Cimino, Pierfrancesco Foglia, Federico A. Galatolo, Issam Nouiri |
| 2019 | ICPRAM | Using Stigmergy as a Computational Memory in the Design of Recurrent Neural Networks. | Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini |
| 2017 | ICPRAM | Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy. | Mario G. C. A. Cimino, Federico A. Galatolo, Alessandro Lazzeri, Witold Pedrycz, Gigliola Vaglini |