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Matteo Gadaleta
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2020 – today
- 2024
- [j9]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) - 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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last updated on 2024-08-14 22:19 CEST by the dblp team
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