| Machine learning to predict mortality and critical events in a cohort of patients with COVID-19 in New York City: model development and validation A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... Journal of medical Internet research 22 (11), e24018, 2020 | 107 | 2020 |
| Clinical characteristics of hospitalized Covid-19 patients in New York City I Paranjpe, AJ Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ... MedRxiv, 2020 | 100 | 2020 |
| Deep representation learning of electronic health records to unlock patient stratification at scale I Landi, BS Glicksberg, HC Lee, S Cherng, G Landi, M Danieletto, ... NPJ digital medicine 3 (1), 1-11, 2020 | 56 | 2020 |
| Use of physiological data from a wearable device to identify SARS-CoV-2 infection and symptoms and predict COVID-19 diagnosis: observational study RP Hirten, M Danieletto, L Tomalin, KH Choi, M Zweig, E Golden, S Kaur, ... Journal of medical Internet research 23 (2), e26107, 2021 | 54 | 2021 |
| Anti-spoofing and open GNSS signal authentication with signal authentication sequences O Pozzobon, L Canzian, M Danieletto, A Dalla Chiara 2010 5th ESA Workshop on Satellite Navigation Technologies and European …, 2010 | 44 | 2010 |
| Reflecting health: smart mirrors for personalized medicine R Miotto, M Danieletto, JR Scelza, BA Kidd, JT Dudley NPJ digital medicine 1 (1), 1-7, 2018 | 28 | 2018 |
| Machine learning to predict mortality and critical events in covid-19 positive new york city patients A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... medRxiv, 2020 | 25 | 2020 |
| Autonomous discovery, localization and recognition of smart objects through WSN and image features E Menegatti, M Danieletto, M Mina, A Pretto, A Bardella, S Zanconato, ... 2010 IEEE Globecom Workshops, 1653-1657, 2010 | 24 | 2010 |
| RAZOR: A compression and classification solution for the internet of things M Danieletto, N Bui, M Zorzi Sensors 14 (1), 68-94, 2014 | 23 | 2014 |
| Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City I Paranjpe, AJ Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ... BMJ open 10 (11), e040736, 2020 | 22 | 2020 |
| CARMEN: a cognitive networking testbed on android OS devices M Danieletto, G Quer, RR Rao, M Zorzi IEEE Communications Magazine 52 (9), 98-107, 2014 | 19 | 2014 |
| Satellite images and machine learning can identify remote communities to facilitate access to health services PS Emilie Bruzelius, Matthew Le, Avi Kenny, Jordan Downey, Matteo Danieletto ... Journal of the American Medical Informatics Association 26 (8-9), 806-812, 2019 | 16 | 2019 |
| Estimating the number of receiving nodes in 802.11 networks via machine learning techniques D Del Testa, M Danieletto, GM Di Nunzio, M Zorzi 2016 IEEE Global Communications Conference (GLOBECOM), 1-7, 2016 | 15 | 2016 |
| A resilience-building app to support the mental health of health care workers in the COVID-19 era: Design process, distribution, and evaluation EA Golden, M Zweig, M Danieletto, K Landell, G Nadkarni, E Bottinger, ... JMIR Formative Research 5 (5), e26590, 2021 | 13 | 2021 |
| Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients: A Cohort Study. A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... Journal of Medical Internet Research, 2020 | 13 | 2020 |
| Improving internet of things communications through compression and classification M Danieletto, N Bui, M Zorzi 2012 IEEE International Conference on Pervasive Computing and Communications …, 2012 | 13 | 2012 |
| On the exploitation of the android os for the design of a wireless mesh network testbed M Danieletto, G Quer, RR Rao, M Zorzi MILCOM 2013-2013 IEEE Military Communications Conference, 1032-1038, 2013 | 12 | 2013 |
| Discovery, localization and recognition of smart objects by a mobile robot E Menegatti, M Danieletto, M Mina, A Pretto, A Bardella, A Zanella, ... International Conference on Simulation, Modeling, and Programming for …, 2010 | 12 | 2010 |
| Scaling structural learning with NO-BEARS to infer causal transcriptome networks HC Lee, M Danieletto, R Miotto, ST Cherng, JT Dudley PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, 391-402, 2019 | 11 | 2019 |
| Processing of electronic health records using deep learning: a review V Osmani, L Li, M Danieletto, B Glicksberg, J Dudley, O Mayora arXiv preprint arXiv:1804.01758, 2018 | 11 | 2018 |
