Toward lightweight biometric signal processing for wearable devices. - Roberto Francescon; Mohsen Hooshmand; Matteo Gadaleta; Enrico Grisan; Seung Keun Yoon; Michele Rossi (EMBC, 2015)

Human authentication from ankle motion data using convolutional neural networks. - Matteo Gadaleta; Luca Merelli; Michele Rossi (SSP, 2016)

A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks. - Maria Scalabrin; Matteo Gadaleta; Riccardo Bonetto; Michele Rossi (MLSP, 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)

IDNet: Smartphone-based gait recognition with convolutional neural networks. - Matteo Gadaleta; Michele Rossi (Pattern Recognit., 2018)

Deep Learning Techniques for Improving Digital Gait Segmentation. - Matteo Gadaleta; Giulia Cisotto; Michele Rossi; Rana Zia Ur Rehman; Lynn Rochester; Silvia Del Din (EMBC, 2019)

Comparing DASH Adaptation Algorithms in a Real Network Environment. - Davide Talon; Luca Attanasio; Federico Chiariotti; Matteo Gadaleta; Andrea Zanella; Michele Rossi (EW, 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)

Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring Signal. - Matteo Gadaleta; Andrea Facchinetti; Enrico Grisan; Michele Rossi (IEEE J. Biomed. Health Informatics, 2019)

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)

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)

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)

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)

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)

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)

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)