Adam Sadilek
Adam Sadilek
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Cited by
Cited by
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
Modeling spread of disease from social interactions
A Sadilek, H Kautz, V Silenzio
Sixth International AAAI Conference on Weblogs and Social Media, 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
Predicting disease transmission from geo-tagged micro-blog data
A Sadilek, H Kautz, V Silenzio
Twenty-Sixth AAAI Conference on Artificial Intelligence, 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
Far out: Predicting long-term human mobility
A Sadilek, J Krumm
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 814-820, 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), 1-10, 2019
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
Recognizing multi-agent activities from GPS data
A Sadilek, H Kautz
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
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
Deploying nEmesis: Preventing foodborne illness by data mining social media
A Sadilek, H Kautz, L DiPrete, B Labus, E Portman, J Teitel, V Silenzio
Twenty-Eighth IAAI Conference, 2016
nEmesis: Which restaurants should you avoid today?
A Sadilek, S Brennan, H Kautz, V Silenzio
First AAAI Conference on Human Computation and Crowdsourcing, 2013
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
Machine-learned epidemiology: real-time detection of foodborne illness at scale
A Sadilek, S Caty, L DiPrete, R Mansour, T Schenk, M Bergtholdt, A Jha, ...
NPJ digital medicine 1 (1), 1-7, 2018
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
Location-based reasoning about complex multi-agent behavior
A Sadilek, H Kautz
Journal of Artificial Intelligence Research 43, 87-133, 2012
Towards understanding global spread of disease from everyday interpersonal interactions
SP Brennan, A Sadilek, H Kautz
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
Home location inference from sparse and noisy data: models and applications
T Hu, J Luo, H Kautz, A Sadilek
Frontiers of Information Technology & Electronic Engineering 17 (5), 389-402, 2016
Uncovering the socioeconomic facets of human mobility
H Barbosa, S Hazarie, B Dickinson, A Bassolas, A Frank, H Kautz, ...
Scientific reports 11 (1), 1-13, 2021
Privacy-first health research with federated learning
A Sadilek, L Liu, D Nguyen, M Kamruzzaman, S Serghiou, B Rader, ...
NPJ digital medicine 4 (1), 1-8, 2021
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