| Dag-net: Double attentive graph neural network for trajectory forecasting A Monti, A Bertugli, S Calderara, R Cucchiara International Conference on Pattern Recognition, 2020 | 63 | 2020 |
| AC-VRNN: Attentive Conditional-VRNN for multi-future trajectory prediction A Bertugli, S Calderara, P Coscia, L Ballan, R Cucchiara Computer Vision and Image Understanding 210, 103245, 2021 | 23 | 2021 |
| Few-shot unsupervised continual learning through meta-examples A Bertugli, S Vincenzi, S Calderara, A Passerini NeurIPS Workshop on Meta-Learning, 2020 | 11 | 2020 |
| Generalising via meta-examples for continual learning in the wild A Bertugli, S Vincenzi, S Calderara, A Passerini International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 3 | 2022 |
| Methods and systems for image processing using a learning engine CG Berlin, CD Bogan III, KM Lande, A Øland, D Toniolo, A Bertugli, ... US Patent 11,308,657, 2022 | 3 | 2022 |
| Does Catastrophic Forgetting Negatively Affect Financial Predictions? A Zurli, A Bertugli, J Credi International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 1 | 2022 |
| Learning to grasp from 2.5 D images: A deep reinforcement learning approach A Bertugli, P Galeone arXiv preprint arXiv:1908.03440, 2019 | 1 | 2019 |
| Deep Learning Approaches for Time-Evolving Scenarios A Bertugli Università degli studi di Trento, 2023 | | 2023 |
Simone CalderaraUniversity of Modena and Reggio Emilia在 unimore.it 的电子邮件经过验证
