Place Your Bets: Will Machine Learning Outgrow Human Labeling? von Schaekermann, Mike, Homan, Christopher M., Aroyo, Lora, Paritosh, Praveen, Bollacker, Kurt, Welty, Chris

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Dichotomy results for fixed point counting in boolean dynamical systems von Homan, Christopher M., Kosub, Sven

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Connecting the invisible dots: Reaching lesbian, gay, and bisexual adolescents and young adults at risk for suicide through online social networks von Silenzio, Vincent M.B., Duberstein, Paul R., Tang, Wan, Lu, Naiji, Tu, Xin, Homan, Christopher M.

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Public knowledge and attitudes towards bystander cardiopulmonary resuscitation (CPR) in Ghana, West Africa von Anto-Ocrah, Martina, Maxwell, Nick, Cushman, Jeremy, Acheampong, Emmanuel, Kodam, Ruth-Sally, Homan, Christopher, Li, Timmy

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On the approximability of Dodgson and Young elections von Caragiannis, Ioannis, Covey, Jason A., Feldman, Michal, Homan, Christopher M., Kaklamanis, Christos, Karanikolas, Nikos, Procaccia, Ariel D., Rosenschein, Jeffrey S.

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Guarantees for the success frequency of an algorithm for finding Dodgson-election winners von Homan, Christopher M., Hemaspaandra, Lane A.

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Quantitative Methods for Analyzing Intimate Partner Violence in Microblogs: Observational Study von Homan, Christopher Michael, Schrading, J Nicolas, Ptucha, Raymond W, Cerulli, Catherine, Ovesdotter Alm, Cecilia

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The complexity of computing the size of an interval von HEMASPAANDRA, Lane A, HOMAN, Christopher M, KOSUB, Sven, WAGNER, Klaus W

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Rumor clustering, consensus, and polarization: Dynamic social impact and self-organization of hearsay von DiFonzo, Nicholas, Bourgeois, Martin J., Suls, Jerry, Homan, Christopher, Stupak, Noah, Brooks, Bernard P., Ross, David S., Bordia, Prashant

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Guarantees for the Success Frequency of an Algorithm for Finding Dodgson-Election Winners von Homan, Christopher M., Hemaspaandra, Lane A.

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Cluster Computing and the Power of Edge Recognition von Hemaspaandra, Lane A., Homan, Christopher M., Kosub, Sven

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How Many Ratings per Item are Necessary for Reliable Significance Testing? von Homan, Christopher, Korn, Flip, Welty, Chris

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Understanding Discourse on Work and Job-Related Well-Being in Public Social Media von Liu, Tong, Homan, Christopher M, Alm, Cecilia Ovesdotter, White, Ann Marie, Lytle, Megan C, Kautz, Henry A

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SOCIALSENSE: Graphical user interface design considerations for social network experiment software von Stupak, Noah, DiFonzo, Nicholas, Younge, Andrew J., Homan, Christopher

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Connecting the Invisible Dots: Network-Based Methods to Reach a Hidden Population at Risk for Suicide von Silenzio, Vincent Michael Bernard, Duberstein, Paul R, Tu, Xin, Tang, Wan, Lu, Naiji, Homan, Christopher M

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ARTICLE: Annotator Reliability Through In-Context Learning von Dutta, Sujan, Pandita, Deepak, Weerasooriya, Tharindu Cyril, Zampieri, Marcos, Homan, Christopher M, KhudaBukhsh, Ashiqur R

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Feriji: A French-Zarma Parallel Corpus, Glossary & Translator von Keita, Mamadou K, Ibrahim, Elysabhete Amadou, Alfari, Habibatou Abdoulaye, Homan, Christopher

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How Many Ratings per Item are Necessary for Reliable Significance Testing? von Homan, Christopher, Korn, Flip, Welty, Chris

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Tight lower bounds on the ambiguity of strong, total, associative, one-way functions von Homan, Christopher M.

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Twitter Job/Employment Corpus: A Dataset of Job-Related Discourse Built with Humans in the Loop von Liu, Tong, Homan, Christopher M

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