| Profiling the propagation of error from PPG to HRV features in a wearable physiological‐monitoring device D Morelli, L Bartoloni, M Colombo, D Plans, DA Clifton Healthcare technology letters 5 (2), 59-64, 2018 | 37 | 2018 |
| Randomized neural networks for preference learning with physiological data D Bacciu, M Colombo, D Morelli, D Plans Neurocomputing 298, 9-20, 2018 | 16 | 2018 |
| ELM Preference Learning for Physiological Data. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.(ESANN'17) D Bacciu, M Colombo, D Morelli, D Plans ESANN 2017 proceedings, 99-104, 2017 | 3 | 2017 |
| Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population D Morelli, N Dolezalova, S Ponzo, M Colombo, D Plans Frontiers in Psychiatry 12, 689026, 2021 | 2 | 2021 |
| Development of a digitally-obtainable 10-year all-cause mortality risk score based on data from 497,712 UK Biobank participants M Colombo, N Dolezalova, A Despotovic, AB Reed, D Morelli, M Aral, ... medRxiv, 2021.06. 23.21259387, 2021 | | 2021 |
| access icon openaccess Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device D Morelli, L Bartoloni, M Colombo, D Plans, DA Clifton | | |
