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Lana Yeganova

Showing results (1-10 of 28) with videos related to

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Journal of Biomedical Semantics|October 11, 2012
Topics in machine learning for biomedical literature analysis and text retrievalRezarta Islamaj Doğan, Lana Yeganova
BMC Bioinformatics|June 11, 2011
Topics in machine learning for biomedical literature analysis and text retrievalRezarta Islamaj Doğan, Lana Yeganova
Nonlinear Analysis, Theory, Methods & Applications|March 6, 2018
Set Separation Problems and Global OptimizationJames E Falk, Yelena Dandurova, Lana Yeganova
Bioinformatics (Oxford, England)|June 12, 2016
Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical termsSun Kim, Lana Yeganova, W John Wilbur
Machine Learning|February 20, 2018
The Synergy Between PAV and AdaBoostW John Wilbur, Lana Yeganova, Won Kim
Nonlinear Analysis, Theory, Methods & Applications|March 6, 2018
Robust Set Separation Via ExponentialsYelena Dandurova, Lana Yeganova, James E Falk
Bioinformatics (Oxford, England)|July 31, 2014
Retro: concept-based clustering of biomedical topical setsLana Yeganova, Won Kim, Sun Kim, et al.
BMC Bioinformatics|June 11, 2011
Machine learning with naturally labeled data for identifying abbreviation definitionsLana Yeganova, Donald C Comeau, W John Wilbur
BMC Bioinformatics|July 18, 2018
Discovering themes in biomedical literature using a projection-based algorithmLana Yeganova, Sun Kim, Grigory Balasanov, et al.
Journal of Biomedical Informatics|March 23, 2015
Extracting drug-drug interactions from literature using a rich feature-based linear kernel approachSun Kim, Haibin Liu, Lana Yeganova, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Journal of Biomedical Semantics|October 11, 2012
Topics in machine learning for biomedical literature analysis and text retrievalRezarta Islamaj Doğan, Lana Yeganova
BMC Bioinformatics|June 11, 2011
Topics in machine learning for biomedical literature analysis and text retrievalRezarta Islamaj Doğan, Lana Yeganova
Nonlinear Analysis, Theory, Methods & Applications|March 6, 2018
Set Separation Problems and Global OptimizationJames E Falk, Yelena Dandurova, Lana Yeganova
Bioinformatics (Oxford, England)|June 12, 2016
Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical termsSun Kim, Lana Yeganova, W John Wilbur
Machine Learning|February 20, 2018
The Synergy Between PAV and AdaBoostW John Wilbur, Lana Yeganova, Won Kim
Nonlinear Analysis, Theory, Methods & Applications|March 6, 2018
Robust Set Separation Via ExponentialsYelena Dandurova, Lana Yeganova, James E Falk
Bioinformatics (Oxford, England)|July 31, 2014
Retro: concept-based clustering of biomedical topical setsLana Yeganova, Won Kim, Sun Kim, et al.
BMC Bioinformatics|June 11, 2011
Machine learning with naturally labeled data for identifying abbreviation definitionsLana Yeganova, Donald C Comeau, W John Wilbur
BMC Bioinformatics|July 18, 2018
Discovering themes in biomedical literature using a projection-based algorithmLana Yeganova, Sun Kim, Grigory Balasanov, et al.
Journal of Biomedical Informatics|March 23, 2015
Extracting drug-drug interactions from literature using a rich feature-based linear kernel approachSun Kim, Haibin Liu, Lana Yeganova, et al.
Pageof 3