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2020 – today
- 2020
[j8]Isotta Landi
, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto:
Deep representation learning of electronic health records to unlock patient stratification at scale. npj Digit. Medicine 3 (2020)- [j7]Fayzan F. Chaudhry, Matteo Danieletto, Eddye Golden, Jerome R. Scelza, Greg Botwin, Mark M. Shervey, Jessica K. De Freitas, Ishan Paranjpe, Girish N. Nadkarni, Riccardo Miotto, Patricia Glowe, Greg Stock, Bethany Percha, Noah Zimmerman, Joel T. Dudley, Benjamin S. Glicksberg:
Sleep in the Natural Environment: A Pilot Study. Sensors 20(5): 1378 (2020) - [c10]Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley:
Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks. PSB 2020: 391-402 - [i5]Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto:
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale. CoRR abs/2003.06516 (2020) - [i4]Stefan Konigorski, Sarah Wernicke, Tamara Slosarek, Alexander M. Zenner, Nils Strelow, Ferenc D. Ruether, Florian Henschel, Manisha Manaswini, Fabian Pottbäcker, Jonathan A. Edelman, Babajide Alamu Owoyele, Matteo Danieletto, Eddye Golden, Micol Zweig, Girish N. Nadkarni, Erwin P. Böttinger:
StudyU: a platform for designing and conducting innovative digital N-of-1 trials. CoRR abs/2012.14201 (2020)
2010 – 2019
- 2019
- [j6]Emilie Bruzelius, Matthew Le, Avi Kenny, Jordan Downey, Matteo Danieletto, Aaron Baum, Patrick Doupe, Bruno Silva, Philip J. Landrigan, Prabhjot Singh:
Satellite images and machine learning can identify remote communities to facilitate access to health services. J. Am. Medical Informatics Assoc. 26(8-9): 806-812 (2019) - [i3]Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley:
Scaling structural learning with NO-BEARS to infer causal transcriptome networks. CoRR abs/1911.00081 (2019) - 2018
- [j5]Riccardo Miotto, Matteo Danieletto, Jerome R. Scelza, Brian A. Kidd, Joel T. Dudley:
Reflecting health: smart mirrors for personalized medicine. npj Digit. Medicine 1 (2018) - [c9]Venet Osmani, Li Li, Matteo Danieletto, Benjamin S. Glicksberg, Joel Dudley, Oscar Mayora:
Automatic processing of Electronic Medical Records using Deep Learning. PervasiveHealth 2018: 251-257 - [i2]Venet Osmani, Li Li, Matteo Danieletto, Benjamin S. Glicksberg, Joel Dudley, Oscar Mayora:
Processing of Electronic Health Records using Deep Learning: A review. CoRR abs/1804.01758 (2018) - 2017
- [j4]Davide Del Testa, Matteo Danieletto, Michele Zorzi:
A Machine Learning-Based ETA Estimator for Wi-Fi Transmissions. IEEE Trans. Wirel. Commun. 16(11): 7011-7024 (2017) - [c8]Matteo Danieletto, Li Li, Joel T. Dudley:
Application of I-COMO device towards geographic disease enrichment pattern revealed from electronic medical record at a large Urban academic medical center. PervasiveHealth 2017: 282-287 - 2016
- [c7]Davide Del Testa, Matteo Danieletto, Giorgio Maria Di Nunzio, Michele Zorzi:
Estimating the Number of Receiving Nodes in 802.11 Networks via Machine Learning Techniques. GLOBECOM 2016: 1-7 - [i1]Davide Del Testa, Matteo Danieletto, Giorgio Maria Di Nunzio, Michele Zorzi:
Estimating the number of receiving nodes in 802.11 networks via machine learning techniques. CoRR abs/1605.04144 (2016) - 2015
- [c6]Davide Del Testa, Matteo Danieletto, Michele Zorzi:
Applying Machine Learning Techniques to a Real Cognitive Network: File Transfer ETAs Prediction. GLOBECOM 2015: 1-7 - [c5]Giorgio Quer, Matteo Danieletto:
Matching between physiological sensor and smartphone based on RR intervals time series. ICC Workshops 2015: 294-299 - 2014
- [j3]Matteo Danieletto, Giorgio Quer, Ramesh R. Rao, Michele Zorzi:
CARMEN: a cognitive networking testbed on android OS devices. IEEE Commun. Mag. 52(9): 98-107 (2014) - [j2]Matteo Danieletto, Nicola Bui, Michele Zorzi:
RAZOR: A Compression and Classification Solution for the Internet of Things. Sensors 14(1): 68-94 (2014) - 2013
- [c4]Matteo Danieletto, Giorgio Quer, Ramesh R. Rao, Michele Zorzi:
On the Exploitation of the Android OS for the Design of a Wireless Mesh Network Testbed. MILCOM 2013: 1032-1038 - 2012
- [j1]Andrea Bardella, Matteo Danieletto, Emanuele Menegatti, Andrea Zanella, Alberto Pretto, Pietro Zanuttigh:
Autonomous robot exploration in smart environments exploiting wireless sensors and visual features. Ann. des Télécommunications 67(7-8): 297-311 (2012) - [c3]Matteo Danieletto, Nicola Bui, Michele Zorzi:
Improving Internet of Things communications through compression and classification. PerCom Workshops 2012: 284-289 - 2010
- [c2]Emanuele Menegatti, Matteo Danieletto, Marco Mina, Alberto Pretto, Andrea Bardella, Andrea Zanella, Pietro Zanuttigh:
Discovery, Localization and Recognition of Smart Objects by a Mobile Robot. SIMPAR 2010: 436-448
2000 – 2009
- 2009
- [c1]Matteo Danieletto, Marco Mina, Andrea Zanella, Pietro Zanuttigh, Emanuele Menegatti:
Recognition of Smart Objects by a Mobile Robot using SIFT-based Image Recognition and Wireless Communication. ECMR 2009: 73-79
Coauthor Index
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