Lyle Ungar

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H. Andrew SchwartzStony Brook UniversityCorreu electrònic verificat a cs.stonybrook.edu
Johannes C. EichstaedtStanford UniversityCorreu electrònic verificat a stanford.edu
Dean FosterAmazon, NYCCorreu electrònic verificat a amazon.com
Sharath Chandra GuntukuUniversity of PennsylvaniaCorreu electrònic verificat a cis.upenn.edu
Salvatore GiorgiData Scientist, University of PennsylvaniaCorreu electrònic verificat a seas.upenn.edu
Margaret L. KernProfessor, University of MelbourneCorreu electrònic verificat a unimelb.edu.au
Raina MerchantProfessor of Emergency MedicineCorreu electrònic verificat a pennmedicine.upenn.edu
"Martin Seligman"University of PennsylvaniaCorreu electrònic verificat a upenn.edu
Daniel Preotiuc-PietroBloombergCorreu electrònic verificat a bloomberg.net
Gregory ParkTraitLabCorreu electrònic verificat a sas.upenn.edu
Alexandrin PopesculGoogleCorreu electrònic verificat a google.com
João SedocAssistant Professor, Department of Technology, Operations, and Statistics, New York UniversityCorreu electrònic verificat a stern.nyu.edu
Andrew I. ScheinWaymo, LLCCorreu electrònic verificat a andrewschein.com
Michal KosinskiStanford UniversityCorreu electrònic verificat a stanford.edu
Brenda CurtisNational Institute on Drug Abuse/Intramural Research ProgramCorreu electrònic verificat a nih.gov
David StillwellCambridge UniversityCorreu electrònic verificat a cam.ac.uk
David AschUniversity of PennsylvaniaCorreu electrònic verificat a wharton.upenn.edu
Anneke BuffoneUniversity of PennsylvaniaCorreu electrònic verificat a sas.upenn.edu
Maarten SapCarnegie Mellon UniversityCorreu electrònic verificat a cmu.edu
David M PennockProfessor, Rutgers UniversityCorreu electrònic verificat a dimacs.rutgers.edu

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Lyle Ungar

University of Pennsylvania

Correu electrònic verificat a cis.upenn.edu - Pàgina d'inici

machine learning computational linguistics computational social science


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
System and method for scheduling broadcast of and access to video programs and other data using customer profiles F Herz, L Ungar, J Zhang, D Wachob, M Salganicoff US Patent 5,758,257, 1998	2783	1998
Methods and metrics for cold-start recommendations AI Schein, A Popescul, LH Ungar, DM Pennock Proceedings of the 25th annual international ACM SIGIR conference on …, 2002	2665	2002
System for generation of user profiles for a system for customized electronic identification of desirable objects FSM Herz, JM Eisner, LH Ungar, MP Marcus US Patent 5,754,939, 1998	2540	1998
Personality, gender, and age in the language of social media: The open-vocabulary approach HA Schwartz, JC Eichstaedt, ML Kern, L Dziurzynski, SM Ramones, ... PloS one 8 (9), e73791, 2013	2348	2013
System for generation of object profiles for a system for customized electronic identification of desirable objects FSM Herz, JM Eisner, LH Ungar US Patent 5,835,087, 1998	1693	1998
Efficient clustering of high-dimensional data sets with application to reference matching A McCallum, K Nigam, LH Ungar Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000	1622	2000
Clustering methods for collaborative filtering LH Ungar, DP Foster AAAI workshop on recommendation systems 1, 114-129, 1998	1214	1998
A hybrid neural network‐first principles approach to process modeling DC Psichogios, LH Ungar AIChE Journal 38 (10), 1499-1511, 1992	1197	1992
Automatic personality assessment through social media language. G Park, HA Schwartz, JC Eichstaedt, ML Kern, M Kosinski, DJ Stillwell, ... Journal of personality and social psychology 108 (6), 934, 2015	967	2015
Twitter as a tool for health research: a systematic review L Sinnenberg, AM Buttenheim, K Padrez, C Mancheno, L Ungar, ... American journal of public health 107 (1), e1-e8, 2017	775	2017
Detecting depression and mental illness on social media: an integrative review SC Guntuku, DB Yaden, ML Kern, LH Ungar, JC Eichstaedt Current Opinion in Behavioral Sciences 18, 43-49, 2017	765	2017
Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments A Popescul, LH Ungar, DM Pennock, S Lawrence arXiv preprint arXiv:1301.2303, 2013	719	2013
Facebook language predicts depression in medical records JC Eichstaedt, RJ Smith, RM Merchant, LH Ungar, P Crutchley, ... Proceedings of the National Academy of Sciences 115 (44), 11203-11208, 2018	715	2018
Iterative combinatorial auctions: Theory and practice DC Parkes, LH Ungar Aaai/iaai 7481, 53, 2000	686	2000
Psychological language on Twitter predicts county-level heart disease mortality JC Eichstaedt, HA Schwartz, ML Kern, G Park, DR Labarthe, ... Psychological science 26 (2), 159-169, 2015	674	2015
Active learning for logistic regression: an evaluation AI Schein, LH Ungar Machine Learning 68, 235-265, 2007	487	2007
Emonet: Fine-grained emotion detection with gated recurrent neural networks M Abdul-Mageed, L Ungar Proceedings of the 55th annual meeting of the association for computational …, 2017	458	2017
Statistical relational learning for link prediction A Popescul, LH Ungar IJCAI workshop on learning statistical models from relational data 2003, 2003	386	2003
Psychological strategies for winning a geopolitical forecasting tournament B Mellers, L Ungar, J Baron, J Ramos, B Gurcay, K Fincher, SE Scott, ... Psychological science 25 (5), 1106-1115, 2014	377	2014
Analyzing personality through social media profile picture choice L Liu, D Preotiuc-Pietro, ZR Samani, ME Moghaddam, L Ungar Proceedings of the International AAAI Conference on Web and Social Media 10 …, 2016	369	2016

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