| On the use of deep reinforcement learning for visual tracking: A survey G Cruciata, LL Presti, M La Cascia IEEE Access 9, 120880-120900, 2021 | 11 | 2021 |
| Iterative multiple bounding-box refinements for visual tracking G Cruciata, L Lo Presti, M La Cascia Journal of Imaging 8 (3), 61, 2022 | 3 | 2022 |
| Continual model-based reinforcement learning for data efficient wireless network optimisation C Hasan, A Agapitos, D Lynch, A Castagna, G Cruciata, H Wang, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 2023 |
| Learn & drop: fast learning of cnns based on layer dropping G Cruciata, L Cruciata, L Lo Presti, J van Gemert, M La Cascia Neural Computing and Applications 36 (18), 10839-10851, 2024 | | 2024 |
| UCB-driven Utility Function Search for Multi-objective Reinforcement Learning Y Shi, A Agapitos, D Lynch, G Cruciata, H Wang, Y Yao, A Milenovic arXiv preprint arXiv:2405.00410, 2024 | | 2024 |
| Wildfires Classification: A Comparative Study G Cruciata, L Lo Presti, G Ajello, P Cicero, G Corvisieri, ML Cascia International Conference on Image Analysis and Processing, 62-73, 2023 | | 2023 |
| Deep learning techniques for visual object tracking G CRUCIATA, LLO PRESTI, S GAGLIO Università degli Studi di Palermo, 2023 | | 2023 |
