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Angelo Porrello
Angelo Porrello
Geverifieerd e-mailadres voor unimore.it
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Latent space autoregression for novelty detection
D Abati, A Porrello, S Calderara, R Cucchiara
Proceedings of the IEEE/CVF conference on computer vision and patterná…, 2019
2842019
Dark experience for general continual learning: a strong, simple baseline
P Buzzega, M Boschini, A Porrello, D Abati, S Calderara
Advances in Neural Information Processing Systems 33, 15920-15930, 2020
1152020
Robust re-identification by multiple views knowledge distillation
A Porrello, L Bergamini, S Calderara
European Conference on Computer Vision, 93-110, 2020
372020
The color out of space: learning self-supervised representations for Earth Observation imagery
S Vincenzi, A Porrello, P Buzzega, M Cipriano, P Fronte, R Cuccu, ...
25th International Conference on Pattern Recognition (ICPR2020), 2020
272020
Rethinking Experience Replay: a Bag of Tricks for Continual Learning
P Buzzega, M Boschini, A Porrello, S Calderara
25th International Conference on Pattern Recognition (ICPR2020), 2020
252020
Multi-views embedding for cattle re-identification
L Bergamini, A Porrello, AC Dondona, E Del Negro, M Mattioli, N D'alterio, ...
2018 14th international conference on signal-image technology & internetá…, 2018
242018
And: Autoregressive novelty detectors
D Abati, A Porrello, S Calderara, R Cucchiara
arXiv preprint arXiv:1807.01653, 2018
172018
Scoring pleurisy in slaughtered pigs using convolutional neural networks
AR Trachtman, L Bergamini, A Palazzi, A Porrello, ...
Veterinary research 51 (1), 1-9, 2020
112020
Classifying signals on irregular domains via convolutional cluster pooling
A Porrello, D Abati, S Calderara, R Cucchiara
The 22nd International Conference on Artificial Intelligence and Statisticsá…, 2019
112019
Predicting WNV circulation in Italy using Earth Observation data and extreme gradient boosting model
L Candeloro, C Ippoliti, F Iapaolo, F Monaco, D Morelli, R Cuccu, P Fronte, ...
Remote Sensing 12 (18), 3064, 2020
52020
Class-incremental continual learning into the extended der-verse
M Boschini, L Bonicelli, P Buzzega, A Porrello, S Calderara
arXiv preprint arXiv:2201.00766, 2022
42022
Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs
S Vincenzi, A Porrello, P Buzzega, A Conte, C Ippoliti, L Candeloro, ...
2019 15th International Conference on Signal-Image Technology & Internetá…, 2019
42019
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting
A Monti, A Porrello, S Calderara, P Coscia, L Ballan, R Cucchiara
Proceedings of the IEEE/CVF Conference on Computer Vision and Patterná…, 2022
12022
Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
M Boschini, P Buzzega, L Bonicelli, A Porrello, S Calderara
arXiv preprint arXiv:2108.06552, 2021
12021
Transfer without Forgetting
M Boschini, L Bonicelli, A Porrello, G Bellitto, M Pennisi, S Palazzo, ...
arXiv preprint arXiv:2206.00388, 2022
2022
Prior Knowledge Exploitation and Transfer in Deep Learning Architectures
A Porrello
UniversitÓ degli studi di Modena e Reggio Emilia, 2022
2022
Weakly Supervised Continual Learning
M Boschini, P Buzzega, L Bonicelli, A Porrello, S Calderara
arXiv preprint arXiv:2108.06552, 2021
2021
Method for evaluating a health state of an anatomical element, related evaluation device and related evaluation system
G Marruchella, L Bergamini, AC DONDONA, E Del Negro, F Di Tondo, ...
US Patent App. 17/009,973, 2021
2021
Rethinking Experience Replay
P Buzzega, M Boschini, A Porrello, S Calderara
2021
METODO DI VALUTAZIONE DI UNO STATO DI SALUTE DI UN ELEMENTO ANATOMICO, RELATIVO DISPOSITIVO DI VALUTAZIONE E RELATIVO SISTEMA DI VALUTAZIONE
M Giuseppe, L Bergamini, A Porrello, E Del Negro, AC Dondona, ...
2019
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Artikelen 1–20