| Attention-based deep learning framework for human activity recognition with user adaptation D Buffelli, F Vandin IEEE Sensors Journal 21 (12), 13474-13483, 2021 | 50 | 2021 |
| Sizeshiftreg: a regularization method for improving size-generalization in graph neural networks D Buffelli, P Liò, F Vandin Advances in Neural Information Processing Systems 35, 31871-31885, 2022 | 43 | 2022 |
| A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings D Buffelli, F Vandin NeurIPS Workshop on Meta-Learning (MetaLearn) 2020, 2020 | 18 | 2020 |
| Extending Logic Explained Networks to Text Classification J Rishabh, C Gabriele, B Pietro, G Francesco, D Buffelli, L Pietro Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2023 | 9* | 2023 |
| Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach D Buffelli, F Vandin International Joint Conference on Neural Networks (IJCNN), 2022 | 8 | 2022 |
| The Impact of Global Structural Information in Graph Neural Networks Applications D Buffelli, F Vandin Data 7 (1), 10, 2022 | 7 | 2022 |
| Scalable theory-driven regularization of scene graph generation models D Buffelli, E Tsamoura Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6850-6859, 2023 | 4 | 2023 |
| Scalable regularization of scene graph generation models using symbolic theories D Buffelli, E Tsamoura arXiv preprint arXiv:2209.02749, 2022 | 3 | 2022 |
| Is meta-learning the right approach for the cold-start problem in recommender systems? D Buffelli, A Gupta, A Strzalka, V Plachouras arXiv preprint arXiv:2308.08354, 2023 | 1 | 2023 |
| The Deep Equilibrium Algorithmic Reasoner D Georgiev, P Liò, D Buffelli arXiv preprint arXiv:2402.06445, 2024 | | 2024 |
| Improving the Effectiveness of Graph Neural Networks in Practical Scenarios D Buffelli Università degli studi di Padova, 2023 | | 2023 |
| Method and system for scene graph generation E Tsamoura, D Buffelli US Patent App. 17/824,571, 2022 | | 2022 |
| A Deep Learning Model for Personalized Human Activity Recognition D Buffelli | | |
Fabio VandinUniversity of Padova在 unipd.it 的电子邮件经过验证
