Bias of Importance Measures for Multi-valued Attributes and Solutions. - Houtao Deng; George C. Runger; Eugene Tuv (ICANN (2), 2011)

System Complexity Reduction via Feature Selection. - Houtao Deng (2011)

Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection. - Houtao Deng; Saylisse Dávila; George C. Runger; Eugene Tuv (Ensembles in Machine Learning Applications, 2011)

Feature selection via regularized trees. - Houtao Deng; George C. Runger (IJCNN, 2012)

Guided Random Forest in the RRF Package. - Houtao Deng (CoRR, 2013)

A time series forest for classification and feature extraction. - Houtao Deng; George C. Runger; Eugene Tuv; Vladimir Martyanov (Inf. Sci., 2013)

Gene selection with guided regularized random forest. - Houtao Deng; George C. Runger (Pattern Recognit., 2013)

CBC: An associative classifier with a small number of rules. - Houtao Deng; George C. Runger; Eugene Tuv; Wade Bannister (Decis. Support Syst., 2014)

Integrative analysis of the connectivity and gene expression atlases in the mouse brain. - Shuiwang Ji; Ahmed Fakhry; Houtao Deng (NeuroImage, 2014)

SMT: Sparse multivariate tree. - Houtao Deng; Mustafa Gökçe Baydogan; George C. Runger (Stat. Anal. Data Min., 2014)

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. - Wenlu Zhang; Rongjian Li; Houtao Deng; Li Wang 026; Weili Lin; Shuiwang Ji; Dinggang Shen (NeuroImage, 2015)

A distance-based control chart for monitoring multivariate processes using support vector machines. - Shuguang He 001; Wei Jiang; Houtao Deng (Ann. Oper. Res., 2018)

Leveraging Elastic Demand for Forecasting. - Houtao Deng; Ganesh Krishnan; Ji Chen; Dong Liang (ICMLA, 2019)

Interpreting tree ensembles with inTrees. - Houtao Deng (Int. J. Data Sci. Anal., 2019)