Matteo Gadaleta
Matteo Gadaleta
Scripps Research Translational Institute
Verified email at scripps.edu - Homepage
Title
Cited by
Cited by
Year
IDNet: Smartphone-based gait recognition with convolutional neural networks
M Gadaleta, M Rossi
Pattern Recognition 74, 25-37, 2018
1322018
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
832017
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
442021
A method for ventricular late potentials detection using time-frequency representation and wavelet denoising
M Gadaleta, A Giorgio
International Scholarly Research Notices 2012, 2012
282012
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
212018
Human authentication from ankle motion data using convolutional neural networks
M Gadaleta, L Merelli, M Rossi
152016
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
112015
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
102019
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
82017
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
42019
Advances in Electronics for Digital Electrocardiography: Ventricular Late Potential Detection Improving ECG Diagnostic Capabilities
A Giorgio, M Gadaleta
LAP LAMBERT Academic Publishing, 2012
42012
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
32020
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
32018
The Physiologic Response to COVID-19 Vaccination
G Quer, M Gadaleta, JM Radin, KG Andersen, K Baca-Motes, E Ramos, ...
medRxiv, 2021
12021
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
12019
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, 2021
2021
Explaining the Deep Learning Black Box by Identifying Segments of the Single-Lead ECG Signal Used for Detection of Atrial Fibrillation
P Ivaturi, M Gadaleta, AC Pandey, M Pazzani, SR Steinhubl, G Quer
Circulation 142 (Suppl_3), A17189-A17189, 2020
2020
Artificial Intelligence for Data Analysis and Signal Processing
M Gadaleta
2019
Modelling and design of an electrically-pumped DFB laser based on an erbium-doped silicon-rich silicon oxide layer embedded in a slot waveguide
F Dell'Olio, M Gadaleta, T Tatoli, C Ciminelli
2014 Third Mediterranean Photonics Conference, 1-3, 2014
2014
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Articles 1–19