| A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data T Azevedo, A Campbell, R Romero-Garcia, L Passamonti, RAI Bethlehem, ... Medical Image Analysis 79, 102471, 2022 | 38 | 2022 |
| Early exit ensembles for uncertainty quantification L Qendro, A Campbell, P Lio, C Mascolo Machine Learning for Health, 181-195, 2021 | 26 | 2021 |
| Population graph GNNs for brain age prediction K Stankeviciute, T Azevedo, A Campbell, R Bethlehem, P Lio ICML Workshop on Graph Representation Learning and Beyond (GRL+), 17-83, 2020 | 14 | 2020 |
| Multimodal graph coarsening for interpretable, MRI-based brain graph neural network I Sebenius, A Campbell, SE Morgan, ET Bullmore, P Liò 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 11 | 2021 |
| Robust and efficient uncertainty aware biosignal classification via early exit ensembles A Campbell, L Qendro, P Liò, C Mascolo ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 6 | 2022 |
| High frequency eeg artifact detection with uncertainty via early exit paradigm L Qendro, A Campbell, P Liò, C Mascolo arXiv preprint arXiv:2107.10746, 2021 | 6 | 2021 |
| Population graph gnns for brain age prediction K Stankevičiūtė, T Azevedo, A Campbell, R Bethlehem, P Liò biorxiv, 2020.06. 26.172171, 2020 | 6 | 2020 |
| DBGSL: Dynamic brain graph structure learning A Campbell, AG Zippo, L Passamonti, N Toschi, P Lio arXiv preprint arXiv:2209.13513, 2022 | 3 | 2022 |
| An investigation of pre-upsampling generative modelling and generative adversarial networks in audio super resolution J King, RV Torné, A Campbell, P Liò arXiv preprint arXiv:2109.14994, 2021 | 2 | 2021 |
| Neuroevolve: A dynamic brain graph deep generative model SE Spasov, A Campbell, N Toschi, P Lio ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | 1 | 2023 |
| DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning A Campbell, AG Zippo, L Passamonti, N Toschi, P Lio arXiv preprint arXiv:2209.13513, 2022 | 1 | 2022 |
| DBGDGM: Dynamic Brain Graph Deep Generative Model A Campbell, SE Spasov, N Toschi, P Lio Medical Imaging with Deep Learning, 1346-1371, 2024 | | 2024 |
| TG-DGM: Clustering Brain Activity using a Temporal Graph Deep Generative Mode SE Spasov, A Campbell, G Dimitri, A Di Stefano, F Scarselli, P Lio Medical Imaging with Deep Learning 2021, 2021 | | 2021 |
Nicola ToschiDepartment of Biomedicine and Prevention, University of Rome Tor VergataVerified email at med.uniroma2.it
