Hemant Ishwaran

According to our database, Hemant Ishwaran authored at least 17 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Application of Gradient Boosting in Evaluating Surgical Ablation for Atrial Fibrillation.

Amol Pande, Hemant Ishwaran, Eugene Blackstone, Jeevanantham Rajeswaran, Marc Gillinov

SN Comput. Sci., 2022

Boosting for Multivariate Longitudinal Responses.

Amol Pande, Hemant Ishwaran, Eugene Blackstone

SN Comput. Sci., 2022

2021

Unsupervised random forests.

Alejandro Mantero, Hemant Ishwaran

Stat. Anal. Data Min., 2021

Theory and software for boosted nonparametric hazard estimation.

Donald K. K. Lee, Ningyuan Chen, Hemant Ishwaran, Xiaochen Wang, Arash Pakbin, Bobak Mortazavi, Hongyu Zhao

Proceedings of AAAI Symposium on Survival Prediction, 2021

2019

A random forests quantile classifier for class imbalanced data.

Robert C. O'Brien, Hemant Ishwaran

Pattern Recognit., 2019

2017

Random forest missing data algorithms.

Fei Tang, Hemant Ishwaran

Stat. Anal. Data Min., 2017

Boosted multivariate trees for longitudinal data.

Amol Pande, Liang Li, Jeevanantham Rajeswaran, John Ehrlinger, Udaya B. Kogalur, Eugene Blackstone, Hemant Ishwaran

Mach. Learn., 2017

A Machine Learning Alternative to P-values.

Min Lu, Hemant Ishwaran

CoRR, 2017

2016

Enhancing Multimedia Imbalanced Concept Detection Using VIMP in Random Forests.

Saad Sadiq, Yilin Yan, Mei-Ling Shyu, Shu-Ching Chen, Hemant Ishwaran

Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

2015

The effect of splitting on random forests.

Hemant Ishwaran

Mach. Learn., 2015

2014

Synthetic learning machines.

Hemant Ishwaran, James D. Malley

BioData Min., 2014

2013

Pathway hunting by random survival forests.

Xi Chen, Hemant Ishwaran

Bioinform., 2013

2011

Random survival forests for high-dimensional data.

Hemant Ishwaran, Udaya B. Kogalur, Xi Chen, Andy J. Minn

Stat. Anal. Data Min., 2011

2010

spikeslab: Prediction and Variable Selection Using Spike and Slab Regression.

Hemant Ishwaran, Udaya B. Kogalur, J. Sunil Rao

R J., 2010

2006

BAMarray^TM: Java software for Bayesian analysis of variance for microarray data.

Hemant Ishwaran, J. Sunil Rao, Udaya B. Kogalur

BMC Bioinform., 2006

CART variance stabilization and regularization for high-throughput genomic data.

Ariadni Papana, Hemant Ishwaran

Bioinform., 2006

2003

Coronary Risk Prediction by Logical Analysis of Data.

Sorin Alexe, Eugene Blackstone, Peter L. Hammer, Hemant Ishwaran, Michael S. Lauer, Claire E. Pothier Snader

Ann. Oper. Res., 2003