关注
Lorenzo Bonicelli
Lorenzo Bonicelli
在 unimore.it 的电子邮件经过验证
标题
引用次数
引用次数
年份
Class-incremental continual learning into the extended der-verse
M Boschini, L Bonicelli, P Buzzega, A Porrello, S Calderara
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
1312022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
L Bonicelli, M Boschini, A Porrello, C Spampinato, S Calderara
Advances in neural information processing systems 35, 2022
442022
Transfer without Forgetting
M Boschini, L Bonicelli, A Porrello, G Bellitto, M Pennisi, S Palazzo, ...
European Conference on Computer Vision, 2022
432022
Continual semi-supervised learning through contrastive interpolation consistency
M Boschini, P Buzzega, L Bonicelli, A Porrello, S Calderara
Pattern Recognition Letters 162, 9-14, 2022
392022
Training convolutional neural networks to score pneumonia in slaughtered pigs
L Bonicelli, AR Trachtman, A Rosamilia, G Liuzzo, J Hattab, ...
Animals 11 (11), 3290, 2021
142021
Effects of Auxiliary Knowledge on Continual Learning
G Bellitto, M Pennisi, S Palazzo, L Bonicelli, M Boschini, S Calderara, ...
26h International Conference on Pattern Recognition (ICPR2022), 2022
82022
Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks
L Bonicelli, A Porrello, S Vincenzi, C Ippoliti, F Iapaolo, A Conte, ...
IEEE Transactions on Geoscience and Remote Sensing, 2023
42023
Clip with generative latent replay: a strong baseline for incremental learning
E Frascaroli, A Panariello, P Buzzega, L Bonicelli, A Porrello, S Calderara
arXiv preprint arXiv:2407.15793, 2024
32024
Semantic Residual Prompts for Continual Learning
M Menabue, E Frascaroli, M Boschini, E Sangineto, L Bonicelli, A Porrello, ...
arXiv preprint arXiv:2403.06870, 2024
32024
On the effectiveness of equivariant regularization for robust online continual learning
L Bonicelli, M Boschini, E Frascaroli, A Porrello, M Pennisi, G Bellitto, ...
arXiv preprint arXiv:2305.03648, 2023
32023
Spotting Culex pipiens from satellite: modeling habitat suitability in central Italy using Sentinel-2 and deep learning techniques
C Ippoliti, L Bonicelli, M De Ascentis, S Tora, A Di Lorenzo, SG d’Alessio, ...
Frontiers in Veterinary Science 11, 1383320, 2024
22024
A Second-Order perspective on Compositionality and Incremental Learning
A Porrello, L Bonicelli, P Buzzega, M Millunzi, S Calderara, R Cucchiara
arXiv preprint arXiv:2405.16350, 2024
22024
Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations
G Capitani, L Bonicelli, A Porrello, F Bolelli, S Calderara, E Ficarra
Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision …, 2025
2025
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels
M Millunzi, L Bonicelli, A Porrello, J Credi, PN Kolm, S Calderara
arXiv preprint arXiv:2408.14284, 2024
2024
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
M Menabue, E Frascaroli, M Boschini, L Bonicelli, A Porrello, S Calderara
arXiv preprint arXiv:2407.14249, 2024
2024
Beyond the Surface: Comprehensive Analysis of Implicit Bias in Vision-Language Models
G Capitani, L Bonicelli, F Bolelli, S Calderara, E Ficarra
Fairness and Ethics towards transparent AI: facing the chalLEnge through …, 2024
2024
R07. 3 Forecasting West Nile Virus Circulation through Sentinel and Landsat Imagery and Graph Neural Networks
A Porrello, C Ippoliti, L Bonicelli, F Iapaolo, D Morelli, F Monaco, ...
GeoVet 2023 International Conference, 2023
2023
Novel continual learning techniques on noisy label datasets.
M Millunzi, L Bonicelli, A Zurli, A Salman, J Credi, S Calderara
Ital-IA, 517-521, 2023
2023
Scoring porcine pneumonia: a comparison between traditional and innovative methods.
A Romano, J Hattab, L Bonicelli, A Rosamilia, G Liuzzo, DA Capobianco, ...
2022
Semi-Supervised Continual Learning: evitare di dimenticare con meno label
L BONICELLI
2020
系统目前无法执行此操作,请稍后再试。
文章 1–20