Vladimir Jojic

Publication Activity (10 Years)

Years Active: 2004-2020
Publications (10 Years): 6

Top Topics

Interaction Networks

Articulated Hand

Medical Image Analysis

Top Venues

J. Comput. Biol.

Publications

Zhenghao Chen, Ilya Soifer, Hugo Hilton, Leeat Keren, Vladimir Jojic
Modeling Multiplexed Images with Spatial-LDA Reveals Novel Tissue Microenvironments. J. Comput. Biol. 27 (8) (2020)
Yeu-Chern Harn, Zhenghao Chen, Vladimir Jojic
Composition and decomposition of GANs. CoRR (2019)
Tianxiang Gao, Vladimir Jojic
Degrees of Freedom in Deep Neural Networks. UAI (2016)
Surojit Biswas, Meredith McDonald, Derek S. Lundberg, Jeffery L. Dangl, Vladimir Jojic
Learning Microbial Interaction Networks from Metagenomic Count Data. J. Comput. Biol. 23 (6) (2016)
Shan Yang, Vladimir Jojic, Jun Lian, Ronald C. Chen, Hongtu Zhu, Ming C. Lin
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis. MICCAI (1) (2016)
Tianxiang Gao, Vladimir Jojic
Degrees of Freedom in Deep Neural Networks. CoRR (2016)
Surojit Biswas, Meredith McDonald, Derek S. Lundberg, Jeffery L. Dangl, Vladimir Jojic
Learning Microbial Interaction Networks from Metagenomic Count Data. RECOMB (2015)
Yeu-Chern Harn, M. J. Powers, Elizabeth A. Shank, Vladimir Jojic
Deconvolving molecular signatures of interactions between microbial colonies. Bioinform. 31 (12) (2015)
Tian Cao, Nikhil Singh, Vladimir Jojic, Marc Niethammer
Semi-coupled dictionary learning for deformation prediction. ISBI (2015)
Dong Nie, Elizabeth A. Shank, Vladimir Jojic
A deep framework for bacterial image segmentation and classification. BCB (2015)
Tianxiang Gao, Petter Brodin, Mark M. Davis, Vladimir Jojic
Drug-induced mRNA Signatures Are Enriched for the Minority of Genes that Are Highly Heritable. Pacific Symposium on Biocomputing (2015)
Enliang Zheng, Enrique Dunn, Vladimir Jojic, Jan-Michael Frahm
PatchMatch Based Joint View Selection and Depthmap Estimation. CVPR (2014)
Chen-Ping Fu, Vladimir Jojic, Leonard McMillan
An Alignment-Free Regression Approach for Estimating Allele-Specific Expression Using RNA-Seq Data. RECOMB (2014)
Surojit Biswas, Vladimir Jojic
AMP: Assembly Matching Pursuit. Pacific Symposium on Biocomputing (2013)
Tian Cao, Vladimir Jojic, Shannon Modla, Debbie Powell, Kirk Czymmek, Marc Niethammer
Robust Multimodal Dictionary Learning. MICCAI (1) (2013)
Nebojsa Jojic, Vladimir Jojic, David Heckerman
Joint discovery of haplotype blocks and complex trait associations from SNP sequences CoRR (2012)
Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, Wei Wang
Metric Learning from Relative Comparisons by Minimizing Squared Residual. ICDM (2012)
Vladimir Jojic, Suchi Saria, Daphne Koller
Convex envelopes of complexity controlling penalties: the case against premature envelopment. AISTATS (2011)
Jonathan Laserson, Vladimir Jojic, Daphne Koller
Assembly for Metagenomes. J. Comput. Biol. 18 (3) (2011)
Jonathan Laserson, Vladimir Jojic, Daphne Koller
Assembly for Metagenomes. RECOMB (2010)
Vladimir Jojic, Stephen Gould, Daphne Koller
Accelerated dual decomposition for MAP inference. ICML (2010)
David C. Nickle, Nebojsa Jojic, David Heckerman, Vladimir Jojic, Darko Kirovski, Morgane Rolland, Sergei L. Kosakovsky Pond, James I. Mullins
Comparison of Immunogen Designs That Optimize Peptide Coverage: Reply to Fischer et al. PLoS Comput. Biol. 4 (1) (2008)
Vladimir Jojic, Tomer Hertz, Nebojsa Jojic
Population Sequencing Using Short Reads: HIV as a Case Study. Pacific Symposium on Biocomputing (2008)
Delbert Dueck, Brendan J. Frey, Nebojsa Jojic, Vladimir Jojic, Guri Giaever, Andrew Emili, Gabe Musso, Robert Hegele
Constructing Treatment Portfolios Using Affinity Propagation. RECOMB (2008)
Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman
Using epitomes to model genetic diversity: Rational design of HIV vaccines. NIPS (2005)
Nebojsa Jojic, Vladimir Jojic, David Heckerman
Joint Discovery of Haplotype Blocks and Complex Trait Associations from SNP Sequences. UAI (2004)
Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman
Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) (2004)