| Avalanche: an end-to-end library for continual learning V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 199 | 2021 |
| Continual learning for recurrent neural networks: an empirical evaluation A Cossu, A Carta, V Lomonaco, D Bacciu Neural Networks 143, 607-627, 2021 | 105 | 2021 |
| Continual pre-training mitigates forgetting in language and vision A Cossu, A Carta, L Passaro, V Lomonaco, T Tuytelaars, D Bacciu Neural Networks 179, 106492, 2024 | 47 | 2024 |
| An experience in using machine learning for short-term predictions in smart transportation systems D Bacciu, A Carta, S Gnesi, L Semini Journal of Logical and Algebraic Methods in Programming 87, 52-66, 2017 | 41 | 2017 |
| Distilled replay: Overcoming forgetting through synthetic samples A Rosasco, A Carta, A Cossu, V Lomonaco, D Bacciu International Workshop on Continual Semi-Supervised Learning, 104-117, 2021 | 39 | 2021 |
| Sample condensation in online continual learning M Sangermano, A Carta, A Cossu, D Bacciu 2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022 | 36 | 2022 |
| Teaching-trustworthy autonomous cyber-physical applications through human-centred intelligence D Bacciu, S Akarmazyan, E Armengaud, M Bacco, G Bravos, C Calandra, ... 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS …, 2021 | 32 | 2021 |
| Continual learning with gated incremental memories for sequential data processing A Cossu, A Carta, D Bacciu 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 31 | 2020 |
| Is class-incremental enough for continual learning? A Cossu, G Graffieti, L Pellegrini, D Maltoni, D Bacciu, A Carta, ... Frontiers in Artificial Intelligence 5, 829842, 2022 | 26 | 2022 |
| Practical recommendations for replay-based continual learning methods G Merlin, V Lomonaco, A Cossu, A Carta, D Bacciu International Conference on Image Analysis and Processing, 548-559, 2022 | 18 | 2022 |
| Catastrophic forgetting in deep graph networks: an introductory benchmark for graph classification A Carta, A Cossu, F Errica, D Bacciu arXiv preprint arXiv:2103.11750, 2021 | 18 | 2021 |
| Avalanche: A pytorch library for deep continual learning A Carta, L Pellegrini, A Cossu, H Hemati, V Lomonaco Journal of Machine Learning Research 24 (363), 1-6, 2023 | 17 | 2023 |
| A comprehensive empirical evaluation on online continual learning A Soutif-Cormerais, A Carta, A Cossu, J Hurtado, V Lomonaco, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| Ex-model: Continual learning from a stream of trained models A Carta, A Cossu, V Lomonaco, D Bacciu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 14 | 2022 |
| Linear memory networks D Bacciu, A Carta, A Sperduti Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019 | 14 | 2019 |
| Ai-as-a-service toolkit for human-centered intelligence in autonomous driving V De Caro, S Bano, A Machumilane, A Gotta, P Cassarà, A Carta, ... 2022 IEEE International Conference on Pervasive Computing and Communications …, 2022 | 13 | 2022 |
| Continual learning with echo state networks A Cossu, D Bacciu, A Carta, C Gallicchio, V Lomonaco arXiv preprint arXiv:2105.07674, 2021 | 13 | 2021 |
| Learning style-aware symbolic music representations by adversarial autoencoders A Valenti, A Carta, D Bacciu ECAI 2020, 1563-1570, 2020 | 13 | 2020 |
| Incremental training of a recurrent neural network exploiting a multi-scale dynamic memory A Carta, A Sperduti, D Bacciu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 11 | 2021 |
| Encoding-based memory for recurrent neural networks A Carta, A Sperduti, D Bacciu Neurocomputing 456, 407-420, 2021 | 8 | 2021 |
Davide BacciuDipartimento di Informatica, Università di PisaEmail verificata su di.unipi.it
