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Drinks & Crowds: Characterizing Alcohol Consumption through Crowdsensing and Social Media.

, , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3 (2): 59:1-59:30 (2019)

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Drinks & Crowds: Characterizing Alcohol Consumption through Crowdsensing and Social Media., , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3 (2): 59:1-59:30 (2019)Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing., , , and . CoRR, (2021)Health Talk: Understanding Practices of Popular Professional YouTubers., , , , and . MUM, page 218-230. ACM, (2022)Learning Urban Nightlife Routines from Mobile Data., , and . MUM, page 107-118. ACM, (2020)Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement., , , and . PervasiveHealth, page 211-222. ACM, (2020)#Drink Or #Drunk: Multimodal Signals and Drinking Practices on Instagram., , and . PervasiveHealth, page 71-80. ACM, (2019)Healthy #fondue #dinner: analysis and inference of food and drink consumption patterns on instagram., and . MUM, page 327-338. ACM, (2017)Zurich Like New: Analyzing Open Urban Multimodal Data., , and . UrbanMM @ ACM Multimedia, page 1-8. ACM, (2021)Trust Indicators and Explainable AI: A Study on User Perceptions., , , , , , and . INTERACT (2), volume 12933 of Lecture Notes in Computer Science, page 662-671. Springer, (2021)My Own Private Nightlife: Understanding Youth Personal Spaces from Crowdsourced Video., , and . PACMHCI, 3 (CSCW): 189:1-189:34 (2019)