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Jaime G Carbonell

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

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Proceedings of Machine Learning Research|September 10, 2019
Data-Driven Approach to Multiple-Source Domain AdaptationPetar Stojanov, Mingming Gong, Jaime G Carbonell, et al.
BMC Bioinformatics|February 4, 2010
Active learning for human protein-protein interaction predictionThahir P Mohamed, Jaime G Carbonell, Madhavi K Ganapathiraju
Proceedings of Machine Learning Research|September 10, 2019
Low-Dimensional Density Ratio Estimation for Covariate Shift CorrectionPetar Stojanov, Mingming Gong, Jaime G Carbonell, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 13, 2009
Prediction of interactions between HIV-1 and human proteins by information integrationOznur Tastan, Yanjun Qi, Jaime G Carbonell, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 17, 2015
Refining literature curated protein interactions using expert opinionsOznur Tastan, Yanjun Qi, Jaime G Carbonell, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 28, 2017
Multitask Matrix Completion for Learning Protein Interactions Across DiseasesMeghana Kshirsagar, Keerthiram Murugesan, Jaime G Carbonell, et al.
Proteins|January 13, 2005
Protein classification based on text document classification techniquesBetty Yee Man Cheng, Jaime G Carbonell, Judith Klein-Seetharaman
BMC Bioinformatics|February 4, 2010
Active machine learning for transmembrane helix predictionHatice U Osmanbeyoglu, Jessica A Wehner, Jaime G Carbonell, et al.
Bioinformatics (Oxford, England)|September 9, 2010
Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteinsYanjun Qi, Oznur Tastan, Jaime G Carbonell, et al.
Proteins|January 27, 2011
Learning generative models for protein fold familiesSivaraman Balakrishnan, Hetunandan Kamisetty, Jaime G Carbonell, et al.
Pageof 1

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

Sort By:
Pageof 1
Proceedings of Machine Learning Research|September 10, 2019
Data-Driven Approach to Multiple-Source Domain AdaptationPetar Stojanov, Mingming Gong, Jaime G Carbonell, et al.
BMC Bioinformatics|February 4, 2010
Active learning for human protein-protein interaction predictionThahir P Mohamed, Jaime G Carbonell, Madhavi K Ganapathiraju
Proceedings of Machine Learning Research|September 10, 2019
Low-Dimensional Density Ratio Estimation for Covariate Shift CorrectionPetar Stojanov, Mingming Gong, Jaime G Carbonell, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 13, 2009
Prediction of interactions between HIV-1 and human proteins by information integrationOznur Tastan, Yanjun Qi, Jaime G Carbonell, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 17, 2015
Refining literature curated protein interactions using expert opinionsOznur Tastan, Yanjun Qi, Jaime G Carbonell, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 28, 2017
Multitask Matrix Completion for Learning Protein Interactions Across DiseasesMeghana Kshirsagar, Keerthiram Murugesan, Jaime G Carbonell, et al.
Proteins|January 13, 2005
Protein classification based on text document classification techniquesBetty Yee Man Cheng, Jaime G Carbonell, Judith Klein-Seetharaman
BMC Bioinformatics|February 4, 2010
Active machine learning for transmembrane helix predictionHatice U Osmanbeyoglu, Jessica A Wehner, Jaime G Carbonell, et al.
Bioinformatics (Oxford, England)|September 9, 2010
Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteinsYanjun Qi, Oznur Tastan, Jaime G Carbonell, et al.
Proteins|January 27, 2011
Learning generative models for protein fold familiesSivaraman Balakrishnan, Hetunandan Kamisetty, Jaime G Carbonell, et al.
Pageof 1