Adam Sadilek

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Henry KautzProfessor Emeritus of Computer Science, University of RochesterEmail yang diverifikasi di cs.rochester.edu
Madhav MaratheDistinguished Professor, Biocomplexity-Institute, Dept. Computer Science, University of VirginiaEmail yang diverifikasi di virginia.edu
Vincent Silenzio, MD, MPHProfessor, Department of Urban-Global Public Health, Rutgers UniversityEmail yang diverifikasi di rutgers.edu
Gourab GhoshalProfessor of Physics and Computer Science, University of RochesterEmail yang diverifikasi di pas.rochester.edu
Jeffrey P. BighamCarnegie Mellon University & AppleEmail yang diverifikasi di cs.cmu.edu
Srinivasan VenkatramananResearch Assistant Professor, Biocomplexity Institute, Univ. of VirginiaEmail yang diverifikasi di virginia.edu
Aleix BassolasResearcher, EurecatEmail yang diverifikasi di eurecat.org
Jose J. RamascoIFISC (CSIC-UIB)Email yang diverifikasi di ifisc.uib-csic.es
Professor Andrew J TatemWorldPop, University of Southampton, UKEmail yang diverifikasi di soton.ac.uk
Nick Warren RuktanonchaiAssistant professor, Virginia TechEmail yang diverifikasi di vt.edu
Shengjie LaiUniversity of SouthamptonEmail yang diverifikasi di soton.ac.uk
Lijing WangAssistant Professor, New Jersey Institute of TechnologyEmail yang diverifikasi di njit.edu
Jiangzhuo ChenUniversity of VirginiaEmail yang diverifikasi di virginia.edu
Xerxes DotiwallaGoogleEmail yang diverifikasi di google.com
Anil Vullikanti (V. S. Anil Kumar)University of VirginiaEmail yang diverifikasi di virginia.edu
XUE BENGoogleEmail yang diverifikasi di google.com
Hugo BarbosaUniversity of ExeterEmail yang diverifikasi di exeter.ac.uk
John BrownsteinHarvard Medical SchoolEmail yang diverifikasi di harvard.edu
Onur KucuktuncGoogleEmail yang diverifikasi di google.com
Bryant GipsonPostdoctoral Fellow, Rice UniversityEmail yang diverifikasi di rice.edu

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Adam Sadilek

AIM

Email yang diverifikasi di machines.run - Beranda

Machine learning AI Robotics Health Networks


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	468	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	279	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	266	2020
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	263	2012
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	231	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	205	2019
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	169	2021
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
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	128	2020
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	122	2021
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	107	2017
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	103	2022
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	103	2013
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	99	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	97	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	94	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
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	76	2013
Forecasting influenza activity using machine-learned mobility map S Venkatramanan, A Sadilek, A Fadikar, CL Barrett, M Biggerstaff, J Chen, ... Nature communications 12 (1), 726, 2021	65	2021
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	62	2013

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