Recognizing Multi-Agent Activities from GPS Data. - Adam Sadilek; Henry A. Kautz (AAAI, 2010)

Modeling Success, Failure, and Intent of Multi-Agent Activities Under Severe Noise. - Adam Sadilek; Henry A. Kautz (Mobile Context Awareness, 2012)

Far Out: Predicting Long-Term Human Mobility. - Adam Sadilek; John Krumm (AAAI, 2012)

Predicting Disease Transmission from Geo-Tagged Micro-Blog Data. - Adam Sadilek; Henry A. Kautz; Vincent Silenzio (AAAI, 2012)

Modeling Spread of Disease from Social Interactions. - Adam Sadilek; Henry A. Kautz; Vincent Silenzio (ICWSM, 2012)

Real-time captioning by groups of non-experts. - Walter S. Lasecki; Christopher D. Miller; Adam Sadilek; Andrew Abumoussa; Donato Borrello; Raja S. Kushalnagar; Jeffrey P. Bigham (UIST, 2012)

Finding your friends and following them to where you are. - Adam Sadilek; Henry A. Kautz; Jeffrey P. Bigham (WSDM, 2012)

Location-Based Reasoning about Complex Multi-Agent Behavior. - Adam Sadilek; Henry A. Kautz (J. Artif. Intell. Res., 2012)

nEmesis: Which Restaurants Should You Avoid Today? - Adam Sadilek; Sean Brennan 002; Henry A. Kautz; Vincent Silenzio (HCOMP, 2013)

Crowdphysics: Planned and Opportunistic Crowdsourcing for Physical Tasks. - Adam Sadilek; John Krumm; Eric Horvitz (ICWSM, 2013)

Towards Understanding Global Spread of Disease from Everyday Interpersonal Interactions. - Sean Brennan 002; Adam Sadilek; Henry A. Kautz (IJCAI, 2013)

Modeling The Interplay of People's Location, Interactions, and Social Ties. - Adam Sadilek; Henry A. Kautz (IJCAI, 2013)

Modeling the impact of lifestyle on health at scale. - Adam Sadilek; Henry A. Kautz (WSDM, 2013)

Home location inference from sparse and noisy data: models and applications. - Tianran Hu; Jiebo Luo 001; Henry A. Kautz; Adam Sadilek (Frontiers Inf. Technol. Electron. Eng., 2016)

Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social Media. - Adam Sadilek; Henry A. Kautz; Lauren DiPrete; Brian Labus; Eric Portman; Jack Teitel; Vincent Silenzio (AI Mag., 2017)

Scribe: deep integration of human and machine intelligence to caption speech in real time. - Walter S. Lasecki; Christopher D. Miller; Iftekhar Naim; Raja S. Kushalnagar; Adam Sadilek; Daniel Gildea; Jeffrey P. Bigham (Commun. ACM, 2017)

Machine-learned epidemiology: real-time detection of foodborne illness at scale. - Adam Sadilek; Stephanie Caty; Lauren DiPrete; Raed Mansour; Tom Schenk Jr.; Mark Bergtholdt; Ashish Jha; Prem Ramaswami; Evgeniy Gabrilovich (npj Digit. Medicine, 2018)

Inferring Nighttime Satellite Imagery from Human Mobility. - Brian Dickinson; Gourab Ghoshal; Xerxes Dotiwalla; Adam Sadilek; Henry A. Kautz (AAAI, 2020)

Lymelight: forecasting Lyme disease risk using web search data. - Adam Sadilek; Yulin Hswen; Shailesh Bavadekar; Tomer Shekel; John S. Brownstein; Evgeniy Gabrilovich (npj Digit. Medicine, 2020)

Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. - Alok Talekar; Sharad Shriram; Nidhin K. Vaidhiyan; Gaurav Aggarwal; Jiangzhuo Chen; Srinivasan Venkatramanan; Lijing Wang 001; Aniruddha Adiga; Adam Sadilek; Ashish Tendulkar; Madhav V. Marathe; Rajesh Sundaresan; et al. (AAMAS, 2021)

Privacy-first health research with federated learning. - Adam Sadilek; Luyang Liu; Dung Nguyen 002; Methun Kamruzzaman; Stylianos Serghiou; Benjamin Rader; Alex Ingerman; Stefan Mellem; Peter Kairouz; Elaine O. Nsoesie; Jamie Macfarlane; Anil Vullikanti; et al. (npj Digit. Medicine, 2021)

CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. - Lijing Wang 001; Aniruddha Adiga; Jiangzhuo Chen; Adam Sadilek; Srinivasan Venkatramanan; Madhav V. Marathe (AAAI, 2022)