Adam Sadilek

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Coauteurs

Henry KautzProfessor Emeritus of Computer Science, University of RochesterAdresse e-mail validée de cs.rochester.edu
Madhav MaratheDistinguished Professor, Biocomplexity-Institute, Dept. Computer Science, University of VirginiaAdresse e-mail validée de virginia.edu
Vincent Silenzio, MD, MPHProfessor, Department of Urban-Global Public Health, Rutgers UniversityAdresse e-mail validée de rutgers.edu
Gourab GhoshalProfessor of Physics and Computer Science, University of RochesterAdresse e-mail validée de pas.rochester.edu
Jeffrey P. BighamCarnegie Mellon University & AppleAdresse e-mail validée de cs.cmu.edu
Srinivasan VenkatramananResearch Assistant Professor, Biocomplexity Institute, Univ. of VirginiaAdresse e-mail validée de virginia.edu
Aleix BassolasResearcher, EurecatAdresse e-mail validée de eurecat.org
Jose J. RamascoIFISC (CSIC-UIB)Adresse e-mail validée de ifisc.uib-csic.es
Lijing WangAssistant Professor, New Jersey Institute of TechnologyAdresse e-mail validée de njit.edu
Professor Andrew J TatemWorldPop, University of Southampton, UKAdresse e-mail validée de soton.ac.uk
Nick Warren RuktanonchaiAssistant professor, Virginia TechAdresse e-mail validée de vt.edu
Shengjie LaiUniversity of SouthamptonAdresse e-mail validée de soton.ac.uk
Jiangzhuo ChenUniversity of VirginiaAdresse e-mail validée de virginia.edu
Xerxes DotiwallaGoogleAdresse e-mail validée de google.com
XUE BENGoogleAdresse e-mail validée de google.com
Anil Vullikanti (V. S. Anil Kumar)University of VirginiaAdresse e-mail validée de virginia.edu
Hugo BarbosaUniversity of ExeterAdresse e-mail validée de exeter.ac.uk
Onur KucuktuncGoogleAdresse e-mail validée de google.com
Bryant GipsonPostdoctoral Fellow, Rice UniversityAdresse e-mail validée de rice.edu
John BrownsteinHarvard Medical SchoolAdresse e-mail validée de harvard.edu

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Adam Sadilek

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Adresse e-mail validée de machines.run - Page d'accueil

Machine learning AI Robotics Health Networks


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Finding your friends and following them to where you are A Sadilek, H Kautz, JP Bigham Proceedings of the fifth ACM international conference on Web search and data …, 2012	463	2012
Modeling spread of disease from social interactions A Sadilek, H Kautz, V Silenzio Proceedings of the international AAAI conference on web and social media 6 …, 2012	273	2012
Real-time captioning by groups of non-experts W Lasecki, C Miller, A Sadilek, A Abumoussa, D Borrello, R Kushalnagar, ... Proceedings of the 25th annual ACM symposium on User interface software and …, 2012	260	2012
Assessing the impact of coordinated COVID-19 exit strategies across Europe NW Ruktanonchai, JR Floyd, S Lai, CW Ruktanonchai, A Sadilek, ... Science 369 (6510), 1465-1470, 2020	259	2020
Predicting disease transmission from geo-tagged micro-blog data A Sadilek, H Kautz, V Silenzio Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 136-142, 2012	228	2012
Hierarchical organization of urban mobility and its connection with city livability A Bassolas, H Barbosa-Filho, B Dickinson, X Dotiwalla, P Eastham, ... Nature communications 10 (1), 4817, 2019	183	2019
Far out: Predicting long-term human mobility A Sadilek, J Krumm Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 814-820, 2012	153	2012
Untangling introductions and persistence in COVID-19 resurgence in Europe P Lemey, N Ruktanonchai, SL Hong, V Colizza, C Poletto, ... Nature 595 (7869), 713-717, 2021	150	2021
Mapping global variation in human mobility MUG Kraemer, A Sadilek, Q Zhang, NA Marchal, G Tuli, EL Cohn, ... Nature Human Behaviour 4 (8), 800-810, 2020	116	2020
Deploying nEmesis: Preventing foodborne illness by data mining social media A Sadilek, H Kautz, L DiPrete, B Labus, E Portman, J Teitel, V Silenzio Ai Magazine 38 (1), 37-48, 2017	101	2017
Crowdphysics: Planned and opportunistic crowdsourcing for physical tasks A Sadilek, J Krumm, E Horvitz Proceedings of the international AAAI conference on web and social media 7 …, 2013	100	2013
Privacy-first health research with federated learning A Sadilek, L Liu, D Nguyen, M Kamruzzaman, S Serghiou, B Rader, ... NPJ digital medicine 4 (1), 132, 2021	95	2021
Machine-learned epidemiology: real-time detection of foodborne illness at scale A Sadilek, S Caty, L DiPrete, R Mansour, T Schenk Jr, M Bergtholdt, A Jha, ... NPJ digital medicine 1 (1), 36, 2018	89	2018
Recognizing multi-agent activities from GPS data A Sadilek, H Kautz Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1134-1139, 2010	86	2010
Context-specific emergence and growth of the SARS-CoV-2 Delta variant JT McCrone, V Hill, S Bajaj, RE Pena, BC Lambert, R Inward, S Bhatt, ... Nature 610 (7930), 154-160, 2022	80	2022
Uncovering the socioeconomic facets of human mobility H Barbosa, S Hazarie, B Dickinson, A Bassolas, A Frank, H Kautz, ... Scientific reports 11 (1), 8616, 2021	78	2021
Causalgnn: Causal-based graph neural networks for spatio-temporal epidemic forecasting L Wang, A Adiga, J Chen, A Sadilek, S Venkatramanan, M Marathe Proceedings of the AAAI conference on artificial intelligence 36 (11), 12191 …, 2022	75	2022
nemesis: Which restaurants should you avoid today? A Sadilek, S Brennan, H Kautz, V Silenzio Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 …, 2013	75	2013
Modeling the impact of lifestyle on health at scale A Sadilek, H Kautz Proceedings of the sixth ACM international conference on Web search and data …, 2013	61	2013
Location-based reasoning about complex multi-agent behavior A Sadilek, H Kautz Journal of Artificial Intelligence Research 43, 87-133, 2012	60	2012

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