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BMC Bioinformatics|November 1, 2007
PubMed related articles: a probabilistic topic-based model for content similarityJimmy Lin, W John WilburInformation Retrieval|August 18, 2009
Modeling Actions of PubMed Users with N-Gram Language ModelsJimmy Lin, W John WilburPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|April 4, 2002
A thematic analysis of the AIDS literatureW John WilburBioinformatics (Oxford, England)|August 15, 2002
Tagging gene and protein names in biomedical textLorraine Tanabe, W John WilburAMIA ... Annual Symposium Proceedings. AMIA Symposium|May 9, 2015
Stochastic Gradient Descent and the Prediction of MeSH for PubMed RecordsW John Wilbur, Won KimInformation Retrieval|October 6, 2009
The Ineffectiveness of Within - Document Term Frequency in Text ClassificationW John Wilbur, Won KimBMC Bioinformatics|December 14, 2011
Classifying protein-protein interaction articles using word and syntactic featuresSun Kim, W John WilburJournal of Biomedical Informatics|January 24, 2009
Improving accuracy for identifying related PubMed queries by an integrated approachZhiyong Lu, W John WilburAMIA ... Annual Symposium Proceedings. AMIA Symposium|June 17, 2006
A strategy for assigning new concepts in the MEDLINE databaseWon Kim, W John WilburProceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications|May 7, 2011
Improving a Gold Standard: Treating Human Relevance Judgments of MEDLINE Document PairsWon Kim, W John WilburPageof 17