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ORCIDKarthik Devarajan
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2020 – today
- 2021
[j8]Karthik Devarajan
:
A statistical framework for non-negative matrix factorization based on generalized dual divergence. Neural Networks 140: 309-324 (2021)- [j7]Lauren Spirko-Burns, Karthik Devarajan:
Supervised Dimension Reduction for Large-Scale "Omics" Data With Censored Survival Outcomes Under Possible Non-Proportional Hazards. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 2032-2044 (2021) - 2020
- [j6]Lauren Spirko-Burns, Karthik Devarajan:
Unified methods for feature selection in large-scale genomic studies with censored survival outcomes. Bioinform. 36(11): 3409-3417 (2020) - [i2]Majid Asadi, Karthik Devarajan, Nader Ebrahimi, Ehsan S. Soofi, Lauren Spirko-Burns:
Probability Link Models with Symmetric Information Divergence. CoRR abs/2008.04387 (2020)
2010 – 2019
- 2019
- [i1]Karthik Devarajan:
Non-negative matrix factorization based on generalized dual divergence. CoRR abs/1905.07034 (2019) - 2016
- [j5]Karthik Devarajan, Vincent C. K. Cheung:
A Quasi-Likelihood Approach to Nonnegative Matrix Factorization. Neural Comput. 28(8): 1663-1693 (2016) - 2015
- [j4]Karthik Devarajan, Guoli Wang, Nader Ebrahimi:
A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing. Mach. Learn. 99(1): 137-163 (2015) - [c4]Karthik Devarajan, Nader Ebrahimi, Ehsan S. Soofi:
A hybrid algorithm for non-negative matrix factorization based on symmetric information divergence. BIBM 2015: 1658-1664 - [c3]Vincent C. K. Cheung, Karthik Devarajan, Giacomo Severini, Andrea Turolla, Paolo Bonato:
Decomposing time series data by a non-negative matrix factorization algorithm with temporally constrained coefficients. EMBC 2015: 3496-3499 - 2014
- [j3]Karthik Devarajan, Vincent C. K. Cheung:
On Nonnegative Matrix Factorization Algorithms for Signal-Dependent Noise with Application to Electromyography Data. Neural Comput. 26(6): 1128-1168 (2014) - 2012
- [c2]Mengjun Wang, Timothy M. Block, Jorge Marrero, Adrian M. Di Bisceglie, Karthik Devarajan, Anand Mehta:
Improved biomarker performance for the detection of hepatocellular carcinoma by inclusion of clinical parameters. BIBM 2012: 1-5 - 2011
- [j2]Karthik Devarajan, Nader Ebrahimi:
A semi-parametric generalization of the Cox proportional hazards regression model: Inference and applications. Comput. Stat. Data Anal. 55(1): 667-676 (2011) - 2010
- [c1]Karthik Devarajan, Yan Zhou, Neeraj Chachra, Nader Ebrahimi:
A Supervised Approach for Predicting Patient Survival with Gene Expression Data. BIBE 2010: 26-31
2000 – 2009
- 2008
- [j1]Karthik Devarajan:
Nonnegative Matrix Factorization: An Analytical and Interpretive Tool in Computational Biology. PLoS Comput. Biol. 4(7) (2008)
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