| Advances and challenges in meta-learning: A technical review A Vettoruzzo, MR Bouguelia, J Vanschoren, T Rögnvaldsson, KC Santosh IEEE transactions on pattern analysis and machine intelligence 46 (7), 4763-4779, 2024 | 84 | 2024 |
| Meta-learning for efficient unsupervised domain adaptation A Vettoruzzo, MR Bouguelia, T Rögnvaldsson Neurocomputing 574, 127264, 2024 | 5 | 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 | 5 | 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 | 3 | 2023 |
| Learning to learn without forgetting using attention A Vettoruzzo, J Vanschoren, MR Bouguelia, T Rögnvaldsson arXiv preprint arXiv:2408.03219, 2024 | 2 | 2024 |
| SPECTRAL CONNECTIVITY FINGERPRINT IN THE RESTING HUMAN BRAIN: A MEG STUDY O Maddaluno, R Guidotti, A Vettoruzzo, L Marzetti, G Cisotto, V Betti Neuroscience 2022, 2022 | 1 | 2022 |
| Modelling MEG-based resting-state functional connectivity to predict inter-individual differences in motor tasks. A Vettoruzzo | 1 | 2021 |
| Advancing Meta-Learning for Enhanced Generalization Across Diverse Tasks A Vettoruzzo Halmstad University Press, 2025 | | 2025 |
| Unsupervised Meta-Learning via In-Context Learning A Vettoruzzo, L Braccaioli, J Vanschoren, M Nowaczyk arXiv preprint arXiv:2405.16124, 2024 | | 2024 |
| Multimodal meta-learning through meta-learned task representations A Vettoruzzo, MR Bouguelia, T Rögnvaldsson Neural Computing and Applications 36 (15), 8519-8529, 2024 | | 2024 |
| Efficient Few-Shot Human Activity Recognition Via Meta-Learning and Data Augmentation A Vettoruzzo, MR Bouguelia, T Rögnvaldsson Available at SSRN 4980432, 2024 | | 2024 |