Dottorato in Intelligenza Artificiale , 37o ciclo (2021-2024)
Dottorato concluso nel 2025
Tesi:
Efficient Neural Coding Under Resource Constraints: A Rate-Distortion Theory Perspective (Abstract)
Tutori:
Giovanni PezzuloAldo GangemiPubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- D'Amato, Leo (2025)
Efficient Neural Coding Under Resource Constraints: A Rate-Distortion Theory Perspective. relatore: PEZZULO, GIOVANNI; GANGEMI, ALDO; , 37. XXXVII Ciclo, P.: 123
Doctoral Thesis - Melchiorre, Jonathan; Agostini, Federico; D'Amato, Leo; Rosso, Marco M. (2025)
Onset time detection of acoustic emission signals for structural monitoring with deep learning. In: Advanced Neural Artificial Intelligence: Theories and Applications / S.N., S.L., Springer, pp. 255-265. ISBN: 9789819609932
Contributo in Volume - Melchiorre, J.; D'Amato, L.; Agostini, F.; Manuello, A. (2024)
Deep-Learning-Based Onset Time Precision in Acoustic Emission Non-Destructive Testing. In: 2024 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2024, Chania (GRC), 12-14 June 2024, pp. 367-372. ISBN: 979-8-3503-8501-4
Contributo in Atti di Convegno (Proceeding) - Pezzulo, Giovanni; D'Amato, Leo; Mannella, Francesco; Priorelli, Matteo; Van de Maele, ... (2024)
Neural representation in active inference: Using generative models to interact with—and understand—the lived world. In: ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, vol. 1534, pp. 45-68. ISSN 0077-8923
Contributo su Rivista - D'Amato, Leo; Naldini, Federico; Tibaldo, Valentina; Trianni, Vito; Pellegrini, Paola (2024)
Towards self-organizing railway traffic management: concept and framework. In: JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT, vol. 29. ISSN 2210-9706
Contributo su Rivista - Melchiorre, Jonathan; D'Amato, Leo; Agostini, Federico; Rizzo, Antonino Maria (2024)
Acoustic emission onset time detection for structural monitoring with U-Net neural network architecture. In: DEVELOPMENTS IN THE BUILT ENVIRONMENT, vol. 18, pp. 1-13. ISSN 2666-1659
Contributo su Rivista - D’Amato, Leo; Trianni, Vito; Pellegrini, Paola (2023)
A consensus algorithm for decentralised real-time railway traffic management. In: ODS2023: International Conference on Optimization and Decision Science, Ischia, 4-7 Settembre 2023
Contributo in Atti di Convegno (Proceeding) - D’Amato, Leo; Naldini, Federico; Tibaldo, Valentina; Trianni, Vito; Pellegrini, Paola (2023)
Self-organization for train re-scheduling and re-routing: a proof of concept. In: ROADEF 2023 - 24ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, Rennes (FRA), 20-23 février 2023
Contributo in Atti di Convegno (Proceeding)