| 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 | 2621 | 2002 |
| Active learning for logistic regression: an evaluation AI Schein, LH Ungar Machine Learning 68 (3), 235-265, 2007 | 446 | 2007 |
| Integrated annotation for biomedical information extraction S Kulick, A Bies, M Liberman, M Mandel, R McDonald, M Palmer, ... HLT-NAACL 2004 workshop: linking biological literature, ontologies and …, 2004 | 239 | 2004 |
| A generalized linear model for principal component analysis of binary data AI Schein, LK Saul, LH Ungar International Workshop on Artificial Intelligence and Statistics, 240-247, 2003 | 223 | 2003 |
| Chloroplast transit peptide prediction: a peek inside the black box AI Schein, JC Kissinger, LH Ungar Nucleic Acids Research 29 (16), e82-e82, 2001 | 118 | 2001 |
| An empirical study of the behavior of active learning for word sense disambiguation J Chen, A Schein, L Ungar, M Palmer Proceedings of the human language technology conference of the NAACL, main …, 2006 | 115 | 2006 |
| Generative models for cold-start recommendations AI Schein, A Popescul, LH Ungar, DM Pennock Proceedings of the 2001 SIGIR workshop on recommender systems 6, 2001 | 101 | 2001 |
| CROC: a new evaluation criterion for recommender systems AI Schein, A Popescul, LH Ungar, DM Pennock Electronic Commerce Research 5, 51-74, 2005 | 48 | 2005 |
| Active learning for logistic regression AI Schein University of Pennsylvania, 2005 | 30 | 2005 |
| Automatic term list generation for entity tagging T Sandler, AI Schein, LH Ungar Bioinformatics 22 (6), 651-657, 2006 | 15 | 2006 |
| Pennaspect: A two-way aspect model implementation AI Schein, A Popescul, LH Ungar Rapport technique, Department of Computer and Information Science, The …, 2001 | 15 | 2001 |
| Author Attribution Evaluation with Novel Topic Cross-validation. AI Schein, JF Caver, RJ Honaker, CH Martell KDIR 10, 206-215, 2010 | 13 | 2010 |
| A-optimality for active learning of logistic regression classifiers AI Schein, L Ungar The University of Pennsylvania Department of Computer and Information …, 2004 | 9 | 2004 |
| Shallow semantic annotation of biomedical corpora for information extraction S Kulick, M Liberman, M Palmer, A Schein, L Hall Proc ISMB, 2003 | 8 | 2003 |
| Active learning for multi-class logistic regression AI Schein, LH Ungar Learning 35, 2005 | 4 | 2005 |
| Projecting away the class imbalance problem in author attribution G Gehrke, C MARTELL, A SCHEIN, P Anand International Journal of Semantic Computing 3 (03), 365-382, 2009 | 3 | 2009 |
| GeneTaggerCRF: An entity tagger for recognizing gene names in text R Talreja, A Schein, S Winters, L Ungar Tech rep, 2004 | 3 | 2004 |
| Bayesian example selection using BaBiES AI Schein, ST Sandler, LH Ungar, L Hall Under Review, 2004 | 2 | 2004 |
| Systems and methods for sales planning, training and action recommendations AI Schein, AT Flesch US Patent App. 17/988,219, 2024 | | 2024 |
| A-Optimality for Active Learning of Logistic Regression Classifiers-Optimality for Active Learning of Logistic Regression Classifiers AI Schein, L Ungar | | 2004 |
Lyle UngarUniversity of PennsylvaniaGeverifieerd e-mailadres voor cis.upenn.edu
