Lyle H. Ungar

Affiliations: 
Computer and Information Science University of Pennsylvania, Philadelphia, PA, United States 
Area:
Intelligent Systems: Machine Learning, Information Systems: Computational Biology and Bioinformatics
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"Lyle Ungar"

Parents

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Robert A. Brown grad student 1979-1984 Boston University (Chemistry Tree)

Children

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David C. Parkes grad student Penn
Roy H. Kwon grad student 2002 Penn
Eugen C. Buehler grad student 2003 Penn
Panagiotis M. Markopoulos grad student 2004 Penn
Alexandrin Popescul grad student 2004 Penn
Andrew I. Schein grad student 2005 Penn
Annapurna Valluri grad student 2006 Penn
Gary Morris grad student 2008 Penn
Vasileios Kandylas grad student 2009 Penn
S. T. Sandler grad student 2009 Penn
Paramveer S. Dhillon grad student 2014 Penn
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Publications

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Pustina D, Coslett HB, Ungar L, et al. (2017) Enhanced estimations of post-stroke aphasia severity using stacked multimodal predictions. Human Brain Mapping
Park G, Yaden DB, Schwartz HA, et al. (2016) Women are Warmer but No Less Assertive than Men: Gender and Language on Facebook. Plos One. 11: e0155885
Ranard BL, Werner RM, Antanavicius T, et al. (2016) Yelp Reviews Of Hospital Care Can Supplement And Inform Traditional Surveys Of The Patient Experience Of Care. Health Affairs (Project Hope). 35: 697-705
Park G, Schwartz HA, Sap M, et al. (2015) Living in the Past, Present, and Future: Measuring Temporal Orientation with Language. Journal of Personality
Ireland ME, Chen Q, Schwartz HA, et al. (2015) Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States: Online Messages and Structural Determinants. Aids and Behavior
Leung YY, Kuksa PP, Amlie-Wolf A, et al. (2015) DASHR: database of small human noncoding RNAs. Nucleic Acids Research
Padrez KA, Ungar L, Schwartz HA, et al. (2015) Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department. Bmj Quality & Safety
Chen BJ, Litvin O, Ungar L, et al. (2015) Context Sensitive Modeling of Cancer Drug Sensitivity. Plos One. 10: e0133850
Mellers B, Stone E, Murray T, et al. (2015) Identifying and cultivating superforecasters as a method of improving probabilistic predictions. Perspectives On Psychological Science : a Journal of the Association For Psychological Science. 10: 267-81
Wong CA, Sap M, Schwartz A, et al. (2015) Twitter sentiment predicts Affordable Care Act marketplace enrollment. Journal of Medical Internet Research. 17: e51
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