| Advances and challenges in meta-learning: A technical review A Vettoruzzo, MR Bouguelia, J Vanschoren, T Rognvaldsson, KC Santosh IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 11 | 2024 |
| Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters A Vettoruzzo, MR Bouguelia, T Rögnvaldsson 2023 International Joint Conference on Neural Networks (IJCNN), 2023 | 2 | 2023 |
| Modelling MEG-based resting-state functional connectivity to predict inter-individual differences in motor tasks. A Vettoruzzo | 1 | 2021 |
| Meta-learning for efficient unsupervised domain adaptation A Vettoruzzo, MR Bouguelia, T Rögnvaldsson Neurocomputing 574, 127264, 2024 | | 2024 |
| Multimodal meta-learning through meta-learned task representations A Vettoruzzo, MR Bouguelia, T Rögnvaldsson Neural Computing and Applications, 1-11, 2024 | | 2024 |
| Personalized Federated Learning with Contextual Modulation and Meta-Learning A Vettoruzzo, MR Bouguelia, T Rögnvaldsson Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
