Matteo Gadaleta
Matteo Gadaleta
Scripps Research Translational Institute
Zweryfikowany adres z scripps.edu - Strona główna
Cytowane przez
Cytowane przez
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
IDNet: Smartphone-based gait recognition with convolutional neural networks
M Gadaleta, M Rossi
Pattern Recognition 74, 25-37, 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
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
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
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
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
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
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
Human authentication from ankle motion data using convolutional neural networks
M Gadaleta, L Merelli, M Rossi
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
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
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
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
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
COVID-19 content collection
DJ Pinato, J Tabernero, M Bower, L Scotti, M Patel, E Colomba, ...
The Lancet Oncology 22 (12), 2021
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
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
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
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
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