Year |
Citation |
Score |
2022 |
Bassolas A, Barbosa-Filho H, Dickinson B, Dotiwalla X, Eastham P, Gallotti R, Ghoshal G, Gipson B, Hazarie SA, Kautz H, Kucuktunc O, Lieber A, Sadilek A, Ramasco JJ. Reply to: On the difficulty of achieving differential privacy in practice: user-level guarantees in aggregate location data. Nature Communications. 13: 30. PMID 35013183 DOI: 10.1038/s41467-021-27567-z |
0.519 |
|
2021 |
Ruktanonchai CW, Lai S, Utazi CE, Cunningham AD, Koper P, Rogers GE, Ruktanonchai NW, Sadilek A, Woods D, Tatem AJ, Steele JE, Sorichetta A. Practical geospatial and sociodemographic predictors of human mobility. Scientific Reports. 11: 15389. PMID 34321509 DOI: 10.1038/s41598-021-94683-7 |
0.317 |
|
2021 |
Barbosa H, Hazarie S, Dickinson B, Bassolas A, Frank A, Kautz H, Sadilek A, Ramasco JJ, Ghoshal G. Uncovering the socioeconomic facets of human mobility. Scientific Reports. 11: 8616. PMID 33883580 DOI: 10.1038/s41598-021-87407-4 |
0.562 |
|
2021 |
Venkatramanan S, Sadilek A, Fadikar A, Barrett CL, Biggerstaff M, Chen J, Dotiwalla X, Eastham P, Gipson B, Higdon D, Kucuktunc O, Lieber A, Lewis BL, Reynolds Z, Vullikanti AK, et al. Forecasting influenza activity using machine-learned mobility map. Nature Communications. 12: 726. PMID 33563980 DOI: 10.1038/s41467-021-21018-5 |
0.347 |
|
2020 |
Talekar A, Shriram S, Vaidhiyan N, Aggarwal G, Chen J, Venkatramanan S, Wang L, Adiga A, Sadilek A, Tendulkar A, Marathe M, Sundaresan R, Tambe M. Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. Arxiv. PMID 33398245 |
0.305 |
|
2020 |
Kraemer MUG, Sadilek A, Zhang Q, Marchal NA, Tuli G, Cohn EL, Hswen Y, Perkins TA, Smith DL, Reiner RC, Brownstein JS. Mapping global variation in human mobility. Nature Human Behaviour. PMID 32424257 DOI: 10.1038/S41562-020-0875-0 |
0.343 |
|
2020 |
Dickinson B, Ghoshal G, Dotiwalla X, Sadilek A, Kautz H. Inferring Nighttime Satellite Imagery from Human Mobility Proceedings of the Aaai Conference On Artificial Intelligence. 34: 394-402. DOI: 10.1609/aaai.v34i01.5375 |
0.359 |
|
2019 |
Bassolas A, Barbosa-Filho H, Dickinson B, Dotiwalla X, Eastham P, Gallotti R, Ghoshal G, Gipson B, Hazarie SA, Kautz H, Kucuktunc O, Lieber A, Sadilek A, Ramasco JJ. Hierarchical organization of urban mobility and its connection with city livability. Nature Communications. 10: 4817. PMID 31645563 DOI: 10.1038/S41467-019-12809-Y |
0.579 |
|
2018 |
Sadilek A, Caty S, DiPrete L, Mansour R, Schenk T, Bergtholdt M, Jha A, Ramaswami P, Gabrilovich E. Machine-learned epidemiology: real-time detection of foodborne illness at scale. Npj Digital Medicine. 1: 36. PMID 31304318 DOI: 10.1038/S41746-018-0045-1 |
0.379 |
|
2017 |
Sadilek A, Kautz H, DiPrete L, Labus B, Portman E, Teitel J, Silenzio V. Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social Media Ai Magazine. 38: 37. DOI: 10.1609/Aimag.V38I1.2711 |
0.367 |
|
2017 |
Lasecki WS, Miller CD, Naim I, Kushalnagar R, Sadilek A, Gildea D, Bigham JP. Scribe Communications of the Acm. 60: 93-100. DOI: 10.1145/3068663 |
0.331 |
|
2016 |
Hu T, Luo J, Kautz H, Sadilek A. Home Location Inference from Sparse and Noisy Data: Models and Applications Proceedings - 15th Ieee International Conference On Data Mining Workshop, Icdmw 2015. 1382-1387. DOI: 10.1631/Fitee.1500385 |
0.659 |
|
2016 |
Hu Tr, Luo Jb, Kautz H, Sadilek A. Home location inference from sparse and noisy data: models and applications Frontiers of Information Technology and Electronic Engineering. 17: 389-402. DOI: 10.1631/FITEE.1500385 |
0.631 |
|
2013 |
Sadilek A, Kautz H. Modeling the impact of lifestyle on health at scale Wsdm 2013 - Proceedings of the 6th Acm International Conference On Web Search and Data Mining. 637-646. DOI: 10.1145/2433396.2433476 |
0.599 |
|
2013 |
Sadilek A, Kautz H, Bigham JP. Modeling the interplay of people's location, interactions, and social ties Ijcai International Joint Conference On Artificial Intelligence. 3067-3071. |
0.634 |
|
2013 |
Brennan S, Sadilek A, Kautz H. Towards understanding global spread of disease from everyday interpersonal interactions Ijcai International Joint Conference On Artificial Intelligence. 2783-2789. |
0.629 |
|
2012 |
Sadilek A, Kautz H. Location-based reasoning about complex multi-agent behavior Journal of Artificial Intelligence Research. 43: 87-133. DOI: 10.1613/Jair.3421 |
0.605 |
|
2012 |
Sadilek A, Kautz H, Bigham JP. Finding your friends and following them to where you are Wsdm 2012 - Proceedings of the 5th Acm International Conference On Web Search and Data Mining. 723-732. DOI: 10.1145/2124295.2124380 |
0.635 |
|
2012 |
Sadilek A, Kautz H, Silenzio V. Modeling spread of disease from social interactions Icwsm 2012 - Proceedings of the 6th International Aaai Conference On Weblogs and Social Media. 322-329. |
0.623 |
|
2012 |
Sadilek A, Kautz H, Silenzio V. Predicting disease transmission from geo-tagged micro-blog data Proceedings of the National Conference On Artificial Intelligence. 1: 136-142. |
0.511 |
|
2012 |
Sadilek A, Krumm J. Far out: Predicting long-term human mobility Proceedings of the National Conference On Artificial Intelligence. 1: 814-820. |
0.312 |
|
2010 |
Sadilek A, Kautz H. Recognizing multi-agent activities from GPS data Proceedings of the National Conference On Artificial Intelligence. 2: 1134-1139. |
0.581 |
|
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