Devarajan K - Search Results

1

Assessing Methods for Evaluating the Number of Components in Non-Negative Matrix Factorization.

Maisog JM, DeMarco AT, Devarajan K, Young SS, Fogel P, Luta G. Maisog JM, et al. Among authors: devarajan k. Mathematics (Basel). 2021 Nov 2;9(22):2840. doi: 10.3390/math9222840. Epub 2021 Nov 9. Mathematics (Basel). 2021. PMID: 35694180 Free PMC article.

2

A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing.

Devarajan K, Wang G, Ebrahimi N. Devarajan K, et al. Mach Learn. 2015 Apr 1;99(1):137-163. doi: 10.1007/s10994-014-5470-z. Mach Learn. 2015. PMID: 25821345 Free PMC article.

3

A Hybrid Algorithm for Non-negative Matrix Factorization Based on Symmetric Information Divergence.

Devarajan K, Ebrahimi N, Soofi E. Devarajan K, et al. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2015 Nov;2015:1658-1664. doi: 10.1109/BIBM.2015.7359924. Epub 2015 Dec 17. Proceedings (IEEE Int Conf Bioinformatics Biomed). 2015. PMID: 28868206 Free PMC article.

4

A statistical framework for non-negative matrix factorization based on generalized dual divergence.

Devarajan K. Devarajan K. Neural Netw. 2021 Aug;140:309-324. doi: 10.1016/j.neunet.2021.03.020. Epub 2021 Mar 26. Neural Netw. 2021. PMID: 33892302

5

Nonnegative matrix factorization: an analytical and interpretive tool in computational biology.

Devarajan K. Devarajan K. PLoS Comput Biol. 2008 Jul 25;4(7):e1000029. doi: 10.1371/journal.pcbi.1000029. PLoS Comput Biol. 2008. PMID: 18654623 Free PMC article. Review.

6

On nonnegative matrix factorization algorithms for signal-dependent noise with application to electromyography data.

Devarajan K, Cheung VC. Devarajan K, et al. Neural Comput. 2014 Jun;26(6):1128-68. doi: 10.1162/NECO_a_00576. Epub 2014 Mar 31. Neural Comput. 2014. PMID: 24684448 Free PMC article.

7

A Quasi-Likelihood Approach to Nonnegative Matrix Factorization.

Devarajan K, Cheung VC. Devarajan K, et al. Neural Comput. 2016 Aug;28(8):1663-93. doi: 10.1162/NECO_a_00853. Epub 2016 Jun 27. Neural Comput. 2016. PMID: 27348511 Free PMC article.

8

Testing for Covariate Effect in the Cox Proportional Hazards Regression Model.

Devarajan K, Ebrahimi N. Devarajan K, et al. Commun Stat Theory Methods. 2009 Jan 1;38(14):2333-2347. doi: 10.1080/03610920802536958. Commun Stat Theory Methods. 2009. PMID: 20054448 Free PMC article.

9

A supervised approach for predicting patient survival with gene expression data.

Devarajan K, Zhou Y, Chachra N, Ebrahimi N. Devarajan K, et al. Proc IEEE Int Symp Bioinformatics Bioeng. 2010;2010(5521718):26-31. doi: 10.1109/BIBE.2010.14. Proc IEEE Int Symp Bioinformatics Bioeng. 2010. PMID: 20865131 Free PMC article.

10

A semi-parametric generalization of the Cox proportional hazards regression model: Inference and Applications.

Devarajan K, Ebrahimi N. Devarajan K, et al. Comput Stat Data Anal. 2011 Jan 1;55(1):667-676. doi: 10.1016/j.csda.2010.06.010. Comput Stat Data Anal. 2011. PMID: 21076652 Free PMC article.

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