Matteo Gadaleta

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Convolutional Neural Networks

Wearable Devices

Gait Recognition

Top Venues

npj Digit. Medicine

IEEE J. Biomed. Health Informatics

Publications

Federico Mason, Amitabh C. Pandey, Matteo Gadaleta, Eric J. Topol, Evan D. Muse, Giorgio Quer
AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment. npj Digit. Medicine 7 (1) (2024)
Matteo Gadaleta, Patrick Harrington, Eric Barnhill, Evangelos Hytopoulos, Mintu P. Turakhia, Steven R. Steinhubl, Giorgio Quer
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias. npj Digit. Medicine 6 (2023)
Giorgio Quer, Matteo Gadaleta, Jennifer M. Radin, Kristian G. Andersen, Katie Baca-Motes, Edward Ramos, Eric J. Topol, Steven R. Steinhubl
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands. npj Digit. Medicine 5 (2022)
Matteo Gadaleta, Jennifer M. Radin, Katie Baca-Motes, Edward Ramos, Vik Kheterpal, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer
Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms. npj Digit. Medicine 4 (2021)
Praharsh Ivaturi, Matteo Gadaleta, Amitabh C. Pandey, Michael J. Pazzani, Steven R. Steinhubl, Giorgio Quer
A Comprehensive Explanation Framework for Biomedical Time Series Classification. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Davide Talon, Luca Attanasio, Federico Chiariotti, Matteo Gadaleta, Andrea Zanella, Michele Rossi
Comparing DASH Adaptation Algorithms in a Real Network Environment. EW (2019)
Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din
Deep Learning Techniques for Improving Digital Gait Segmentation. EMBC (2019)
Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din
Deep Learning Techniques for Improving Digital Gait Segmentation. CoRR (2019)
Matteo Gadaleta, Andrea Facchinetti, Enrico Grisan, Michele Rossi
Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring Signal. IEEE J. Biomed. Health Informatics 23 (2) (2019)
Matteo Gadaleta, Michele Rossi, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer
On the Effectiveness of Deep Representation Learning: The Atrial Fibrillation Case. Computer 52 (11) (2019)
Matteo Gadaleta, Michele Rossi
IDNet: Smartphone-based gait recognition with convolutional neural networks. Pattern Recognit. 74 (2018)
Matteo Gadaleta, Federico Chiariotti, Michele Rossi, Andrea Zanella
D-DASH: A Deep Q-Learning Framework for DASH Video Streaming. IEEE Trans. Cogn. Commun. Netw. 3 (4) (2017)
Maria Scalabrin, Matteo Gadaleta, Riccardo Bonetto, Michele Rossi
A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks. MLSP (2017)
Matteo Gadaleta, Michele Rossi
IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks. CoRR (2016)
Matteo Gadaleta, Luca Merelli, Michele Rossi
Human authentication from ankle motion data using convolutional neural networks. SSP (2016)
Roberto Francescon, Mohsen Hooshmand, Matteo Gadaleta, Enrico Grisan, Seung Keun Yoon, Michele Rossi
Toward lightweight biometric signal processing for wearable devices. EMBC (2015)