Matteo Gadaleta

18 papers Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment.
npj Digit. Medicine
Federico Mason, Amitabh C. Pandey, Matteo Gadaleta, Eric J. Topol, Evan D. Muse, Giorgio Quer
2024 J jnl
An unsupervised anomaly detection framework for smart assisted living via growing neural gas networks.
J. Ambient Intell. Smart Environ.
Matteo Ciprian, Matteo Gadaleta, Michele Rossi
2024 J jnl
Long-term changes in wearable sensor data in people with and without Long Covid.
npj Digit. Medicine
Jennifer M. Radin, Julia Moore Vogel, Felipe Delgado, Erin Coughlin, Matteo Gadaleta, Jay A. Pandit, Steven R. Steinhubl
2023 J jnl
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias.
npj Digit. Medicine
Matteo Gadaleta, Patrick Harrington, Eric Barnhill, Evangelos Hytopoulos, Mintu P. Turakhia, Steven R. Steinhubl, Giorgio Quer
2022 J jnl
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands.
npj Digit. Medicine
Giorgio Quer, Matteo Gadaleta, Jennifer M. Radin, Kristian G. Andersen, Katie Baca-Motes, Edward Ramos, Eric J. Topol, Steven R. Steinhubl
2021 J jnl
A Comprehensive Explanation Framework for Biomedical Time Series Classification.
IEEE J. Biomed. Health Informatics
Praharsh Ivaturi, Matteo Gadaleta, Amitabh C. Pandey, Michael J. Pazzani, Steven R. Steinhubl, Giorgio Quer
2021 J jnl
Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms.
npj Digit. Medicine
Matteo Gadaleta, Jennifer M. Radin, Katie Baca-Motes, Edward Ramos, Vik Kheterpal, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer
2019 — conf
Comparing DASH Adaptation Algorithms in a Real Network Environment.
EW
Davide Talon, Luca Attanasio, Federico Chiariotti, Matteo Gadaleta, Andrea Zanella, Michele Rossi
2019 — conf
Deep Learning Techniques for Improving Digital Gait Segmentation.
EMBC
Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din
2019 J jnl
Deep Learning Techniques for Improving Digital Gait Segmentation.
CoRR
Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din
2019 J jnl
On the Effectiveness of Deep Representation Learning: The Atrial Fibrillation Case.
Computer
Matteo Gadaleta, Michele Rossi, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer
2019 J jnl
Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring Signal.
IEEE J. Biomed. Health Informatics
Matteo Gadaleta, Andrea Facchinetti, Enrico Grisan, Michele Rossi
2018 J jnl
IDNet: Smartphone-based gait recognition with convolutional neural networks.
Pattern Recognit.
Matteo Gadaleta, Michele Rossi
2017 — conf
A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks.
MLSP
Maria Scalabrin, Matteo Gadaleta, Riccardo Bonetto, Michele Rossi
2017 J jnl
D-DASH: A Deep Q-Learning Framework for DASH Video Streaming.
IEEE Trans. Cogn. Commun. Netw.
Matteo Gadaleta, Federico Chiariotti, Michele Rossi, Andrea Zanella
2016 — conf
Human authentication from ankle motion data using convolutional neural networks.
SSP
Matteo Gadaleta, Luca Merelli, Michele Rossi
2016 J jnl
IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks.
CoRR
Matteo Gadaleta, Michele Rossi
2015 — conf
Toward lightweight biometric signal processing for wearable devices.
EMBC
Roberto Francescon, Mohsen Hooshmand, Matteo Gadaleta, Enrico Grisan, Seung Keun Yoon, Michele Rossi