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Hemant Ishwaran
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2020 – today
- 2024
- [i2]Min Lu, Hemant Ishwaran:
Model-independent variable selection via the rule-based variable priority. CoRR abs/2409.09003 (2024) - 2022
- [j14]Amol Pande, Hemant Ishwaran, Eugene Blackstone:
Boosting for Multivariate Longitudinal Responses. SN Comput. Sci. 3(3): 186 (2022) - [j13]Amol Pande, Hemant Ishwaran, Eugene Blackstone, Jeevanantham Rajeswaran, Marc Gillinov:
Application of Gradient Boosting in Evaluating Surgical Ablation for Atrial Fibrillation. SN Comput. Sci. 3(6): 466 (2022) - 2021
- [j12]Alejandro Mantero, Hemant Ishwaran:
Unsupervised random forests. Stat. Anal. Data Min. 14(2): 144-167 (2021) - [c2]Donald K. K. Lee, Ningyuan Chen, Hemant Ishwaran, Xiaochen Wang, Arash Pakbin, Bobak Mortazavi, Hongyu Zhao:
Theory and software for boosted nonparametric hazard estimation. SPACA 2021: 149-158
2010 – 2019
- 2019
- [j11]Robert C. O'Brien, Hemant Ishwaran:
A random forests quantile classifier for class imbalanced data. Pattern Recognit. 90: 232-249 (2019) - 2017
- [j10]Amol Pande, Liang Li, Jeevanantham Rajeswaran, John Ehrlinger, Udaya B. Kogalur, Eugene Blackstone, Hemant Ishwaran:
Boosted multivariate trees for longitudinal data. Mach. Learn. 106(2): 277-305 (2017) - [j9]Fei Tang, Hemant Ishwaran:
Random forest missing data algorithms. Stat. Anal. Data Min. 10(6): 363-377 (2017) - [i1]Min Lu, Hemant Ishwaran:
A Machine Learning Alternative to P-values. CoRR abs/1701.04944 (2017) - 2016
- [c1]Saad Sadiq, Yilin Yan, Mei-Ling Shyu, Shu-Ching Chen, Hemant Ishwaran:
Enhancing Multimedia Imbalanced Concept Detection Using VIMP in Random Forests. IRI 2016: 601-608 - 2015
- [j8]Hemant Ishwaran:
The effect of splitting on random forests. Mach. Learn. 99(1): 75-118 (2015) - 2014
- [j7]Hemant Ishwaran, James D. Malley:
Synthetic learning machines. BioData Min. 7: 28 (2014) - 2013
- [j6]Xi Chen, Hemant Ishwaran:
Pathway hunting by random survival forests. Bioinform. 29(1): 99-105 (2013) - 2011
- [j5]Hemant Ishwaran, Udaya B. Kogalur, Xi Chen, Andy J. Minn:
Random survival forests for high-dimensional data. Stat. Anal. Data Min. 4(1): 115-132 (2011) - 2010
- [j4]Hemant Ishwaran, Udaya B. Kogalur, J. Sunil Rao:
spikeslab: Prediction and Variable Selection Using Spike and Slab Regression. R J. 2(2): 68 (2010)
2000 – 2009
- 2006
- [j3]Ariadni Papana, Hemant Ishwaran:
CART variance stabilization and regularization for high-throughput genomic data. Bioinform. 22(18): 2254-2261 (2006) - [j2]Hemant Ishwaran, J. Sunil Rao, Udaya B. Kogalur:
BAMarrayTM: Java software for Bayesian analysis of variance for microarray data. BMC Bioinform. 7: 59 (2006) - 2003
- [j1]Sorin Alexe, Eugene Blackstone, Peter L. Hammer, Hemant Ishwaran, Michael S. Lauer, Claire E. Pothier Snader:
Coronary Risk Prediction by Logical Analysis of Data. Ann. Oper. Res. 119(1-4): 15-42 (2003)
Coauthor Index
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