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ORCIDMatteo Gadaleta
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2020 – today
- 2024
[j11]Matteo Ciprian, Matteo Gadaleta, Michele Rossi:
An unsupervised anomaly detection framework for smart assisted living via growing neural gas networks. J. Ambient Intell. Smart Environ. 16(3): 365-387 (2024)- [j10]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) - [j9]Jennifer M. Radin, Julia Moore Vogel, Felipe Delgado, Erin Coughlin, Matteo Gadaleta, Jay A. Pandit, Steven R. Steinhubl:
Long-term changes in wearable sensor data in people with and without Long Covid. npj Digit. Medicine 7(1) (2024) - 2023
- [j8]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) - 2022
- [j7]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) - 2021
- [j6]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) - [j5]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): 2398-2408 (2021)
2010 – 2019
- 2019
- [j4]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): 18-29 (2019) - [j3]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): 650-659 (2019) - [c5]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: 1834-1837 - [c4]Davide Talon, Luca Attanasio, Federico Chiariotti, Matteo Gadaleta, Andrea Zanella, Michele Rossi:
Comparing DASH Adaptation Algorithms in a Real Network Environment. EW 2019: 1-6 - [i2]Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din:
Deep Learning Techniques for Improving Digital Gait Segmentation. CoRR abs/1907.04281 (2019) - 2018
- [j2]Matteo Gadaleta, Michele Rossi:
IDNet: Smartphone-based gait recognition with convolutional neural networks. Pattern Recognit. 74: 25-37 (2018) - 2017
- [j1]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): 703-718 (2017) - [c3]Maria Scalabrin, Matteo Gadaleta, Riccardo Bonetto, Michele Rossi:
A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks. MLSP 2017: 1-6 - 2016
- [c2]Matteo Gadaleta, Luca Merelli, Michele Rossi:
Human authentication from ankle motion data using convolutional neural networks. SSP 2016: 1-5 - [i1]Matteo Gadaleta, Michele Rossi:
IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks. CoRR abs/1606.03238 (2016) - 2015
- [c1]Roberto Francescon, Mohsen Hooshmand, Matteo Gadaleta, Enrico Grisan, Seung Keun Yoon, Michele Rossi:
Toward lightweight biometric signal processing for wearable devices. EMBC 2015: 4190-4193
Coauthor Index
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