Matteo Gadaleta

According to our database, Matteo Gadaleta authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Long-term changes in wearable sensor data in people with and without Long Covid.

Jennifer M. Radin, Julia Moore Vogel, Felipe Delgado, Erin Coughlin, Matteo Gadaleta, Jay A. Pandit, Steven R. Steinhubl

npj Digit. Medicine, 2024

AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment.

Federico Mason, Amitabh C. Pandey, Matteo Gadaleta, Eric J. Topol, Evan D. Muse, Giorgio Quer

npj Digit. Medicine, 2024

An unsupervised anomaly detection framework for smart assisted living via growing neural gas networks.

Matteo Ciprian, Matteo Gadaleta, Michele Rossi

J. Ambient Intell. Smart Environ., 2024

2023

Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias.

Matteo Gadaleta, Patrick Harrington, Eric Barnhill, Evangelos Hytopoulos, Mintu P. Turakhia, Steven R. Steinhubl, Giorgio Quer

npj Digit. Medicine, 2023

2022

Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bands.

Giorgio Quer, Matteo Gadaleta, Jennifer M. Radin, Kristian G. Andersen, Katie Baca-Motes, Edward Ramos, Eric J. Topol, Steven R. Steinhubl

npj Digit. Medicine, 2022

2021

A Comprehensive Explanation Framework for Biomedical Time Series Classification.

Praharsh Ivaturi, Matteo Gadaleta, Amitabh C. Pandey, Michael J. Pazzani, Steven R. Steinhubl, Giorgio Quer

IEEE J. Biomed. Health Informatics, 2021

Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms.

Matteo Gadaleta, Jennifer M. Radin, Katie Baca-Motes, Edward Ramos, Vik Kheterpal, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer

npj Digit. Medicine, 2021

2019

Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring Signal.

Matteo Gadaleta, Andrea Facchinetti, Enrico Grisan, Michele Rossi

IEEE J. Biomed. Health Informatics, 2019

On the Effectiveness of Deep Representation Learning: The Atrial Fibrillation Case.

Matteo Gadaleta, Michele Rossi, Eric J. Topol, Steven R. Steinhubl, Giorgio Quer

Computer, 2019

Comparing DASH Adaptation Algorithms in a Real Network Environment.

Davide Talon, Luca Attanasio, Federico Chiariotti, Matteo Gadaleta, Andrea Zanella, Michele Rossi

Proceedings of the 25th European Wireless Conference, 2019

Deep Learning Techniques for Improving Digital Gait Segmentation.

Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

IDNet: Smartphone-based gait recognition with convolutional neural networks.

Matteo Gadaleta, Michele Rossi

Pattern Recognit., 2018

2017

D-DASH: A Deep Q-Learning Framework for DASH Video Streaming.

Matteo Gadaleta, Federico Chiariotti, Michele Rossi, Andrea Zanella

IEEE Trans. Cogn. Commun. Netw., 2017

A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks.

Maria Scalabrin, Matteo Gadaleta, Riccardo Bonetto, Michele Rossi

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016

Human authentication from ankle motion data using convolutional neural networks.

Matteo Gadaleta, Luca Merelli, Michele Rossi

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2015

Toward lightweight biometric signal processing for wearable devices.

Roberto Francescon, Mohsen Hooshmand, Matteo Gadaleta, Enrico Grisan, Seung Keun Yoon, Michele Rossi

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015