| Latent space autoregression for novelty detection D Abati, A Porrello, S Calderara, R Cucchiara Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 284 | 2019 |
| 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 | 115 | 2020 |
| Robust re-identification by multiple views knowledge distillation A Porrello, L Bergamini, S Calderara European Conference on Computer Vision, 93-110, 2020 | 37 | 2020 |
| 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 | 27 | 2020 |
| 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 | 25 | 2020 |
| 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 & internet …, 2018 | 24 | 2018 |
| And: Autoregressive novelty detectors D Abati, A Porrello, S Calderara, R Cucchiara arXiv preprint arXiv:1807.01653, 2018 | 17 | 2018 |
| Scoring pleurisy in slaughtered pigs using convolutional neural networks AR Trachtman, L Bergamini, A Palazzi, A Porrello, ... Veterinary research 51 (1), 1-9, 2020 | 11 | 2020 |
| 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 Statistics …, 2019 | 11 | 2019 |
| 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 | 5 | 2020 |
| 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 | 4 | 2022 |
| 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 & Internet …, 2019 | 4 | 2019 |
| 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 Pattern …, 2022 | 1 | 2022 |
| Continual Semi-Supervised Learning through Contrastive Interpolation Consistency M Boschini, P Buzzega, L Bonicelli, A Porrello, S Calderara arXiv preprint arXiv:2108.06552, 2021 | 1 | 2021 |
| 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 Universitā 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 |
