| Wearable sensor data and self-reported symptoms for COVID-19 detection G Quer, JM Radin, M Gadaleta, K Baca-Motes, L Ariniello, E Ramos, ... Nature Medicine 27 (1), 73-77, 2021 | 452 | 2021 |
| IDNet: Smartphone-based gait recognition with convolutional neural networks M Gadaleta, M Rossi Pattern Recognition 74, 25-37, 2018 | 276 | 2018 |
| D-DASH: A deep Q-learning framework for DASH video streaming M Gadaleta, F Chiariotti, M Rossi, A Zanella IEEE Transactions on Cognitive Communications and Networking 3 (4), 703-718, 2017 | 188 | 2017 |
| Assessment of prolonged physiological and behavioral changes associated with COVID-19 infection JM Radin, G Quer, E Ramos, K Baca-Motes, M Gadaleta, EJ Topol, ... JAMA Network Open 4 (7), e2115959-e2115959, 2021 | 90 | 2021 |
| Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms M Gadaleta, JM Radin, K Baca-Motes, E Ramos, V Kheterpal, EJ Topol, ... NPJ digital medicine 4 (1), 166, 2021 | 75 | 2021 |
| Prediction of adverse glycemic events from continuous glucose monitoring signal M Gadaleta, A Facchinetti, E Grisan, M Rossi IEEE journal of biomedical and health informatics 23 (2), 650-659, 2018 | 62 | 2018 |
| Deep learning techniques for improving digital gait segmentation M Gadaleta, G Cisotto, M Rossi, RZU Rehman, L Rochester, S Del Din 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 44 | 2019 |
| A comprehensive explanation framework for biomedical time series classification P Ivaturi, M Gadaleta, AC Pandey, M Pazzani, SR Steinhubl, G Quer IEEE journal of biomedical and health informatics 25 (7), 2398-2408, 2021 | 40 | 2021 |
| A method for ventricular late potentials detection using time‐frequency representation and wavelet denoising M Gadaleta, A Giorgio International Scholarly Research Notices 2012 (1), 258769, 2012 | 39 | 2012 |
| Human authentication from ankle motion data using convolutional neural networks M Gadaleta, L Merelli, M Rossi | 34 | 2016 |
| Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands G Quer, M Gadaleta, JM Radin, KG Andersen, K Baca-Motes, E Ramos, ... npj Digital Medicine 5 (1), 49, 2022 | 33 | 2022 |
| Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias M Gadaleta, P Harrington, E Barnhill, E Hytopoulos, MP Turakhia, ... NPJ Digital Medicine 6 (1), 229, 2023 | 16 | 2023 |
| A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks M Scalabrin, M Gadaleta, R Bonetto, M Rossi 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 14 | 2017 |
| Toward lightweight biometric signal processing for wearable devices R Francescon, M Hooshmand, M Gadaleta, E Grisan, SK Yoon, M Rossi 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 13 | 2015 |
| Sensor-based surveillance for digitising real-time COVID-19 tracking in the USA (DETECT): a multivariable, population-based, modelling study JM Radin, G Quer, JA Pandit, M Gadaleta, K Baca-Motes, E Ramos, ... The Lancet Digital Health 4 (11), e777-e786, 2022 | 9 | 2022 |
| On the effectiveness of deep representation learning: the atrial fibrillation case M Gadaleta, M Rossi, EJ Topol, SR Steinhubl, G Quer Computer 52 (11), 18-29, 2019 | 8 | 2019 |
| The physiologic response to COVID-19 vaccination G Quer, M Gadaleta, JM Radin, KG Andersen, K Baca-Motes, E Ramos, ... medRxiv, 2021.05. 03.21256482, 2021 | 6 | 2021 |
| Comparing dash adaptation algorithms in a real network environment D Talon, L Attanasio, F Chiariotti, M Gadaleta, A Zanella, M Rossi European Wireless 2019; 25th European Wireless Conference, 1-6, 2019 | 5 | 2019 |
| Deep learning to detect atrial fibrillation from short noisy ecg segments measured with wireless sensors M Gadaleta, M Rossi, SR Steinhubl, G Quer Circulation 138 (Suppl_1), A16177-A16177, 2018 | 5 | 2018 |
| Passive monitoring of physiological data and self-reported symptoms to detect clusters of people with COVID-19 G Quer, JM Radin, M Gadaleta, K Baca-Motes, L Ariniello, E Ramos, ... medRxiv, 2020.07. 06.20141333, 2020 | 4 | 2020 |
