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ORCIDHoutao Deng
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2010 – 2019
- 2019
[j8]Houtao Deng
:
Interpreting tree ensembles with inTrees. Int. J. Data Sci. Anal. 7(4): 277-287 (2019)- [c3]Houtao Deng, Ganesh Krishnan, Ji Chen, Dong Liang:
Leveraging Elastic Demand for Forecasting. ICMLA 2019: 268-271 - 2018
- [j7]Shuguang He, Wei Jiang, Houtao Deng:
A distance-based control chart for monitoring multivariate processes using support vector machines. Ann. Oper. Res. 263(1-2): 191-207 (2018) - [i6]Houtao Deng, Ganesh Krishnan, Ji Chen, Dong Liang:
Leveraging Elastic Demand for Forecasting. CoRR abs/1809.03018 (2018) - 2015
- [j6]Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen:
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. NeuroImage 108: 214-224 (2015) - 2014
- [j5]Houtao Deng, George C. Runger, Eugene Tuv, Wade Bannister:
CBC: An associative classifier with a small number of rules. Decis. Support Syst. 59: 163-170 (2014) - [j4]Shuiwang Ji, Ahmed Fakhry, Houtao Deng:
Integrative analysis of the connectivity and gene expression atlases in the mouse brain. NeuroImage 84: 245-253 (2014) - [j3]Houtao Deng, Mustafa Gökçe Baydogan, George C. Runger:
SMT: Sparse multivariate tree. Stat. Anal. Data Min. 7(1): 53-69 (2014) - [i5]Houtao Deng:
Interpreting Tree Ensembles with inTrees. CoRR abs/1408.5456 (2014) - 2013
- [j2]Houtao Deng, George C. Runger, Eugene Tuv, Vladimir Martyanov:
A time series forest for classification and feature extraction. Inf. Sci. 239: 142-153 (2013) - [j1]Houtao Deng, George C. Runger:
Gene selection with guided regularized random forest. Pattern Recognit. 46(12): 3483-3489 (2013) - [i4]Houtao Deng, George C. Runger, Eugene Tuv, Vladimir Martyanov:
A Time Series Forest for Classification and Feature Extraction. CoRR abs/1302.2277 (2013) - [i3]Houtao Deng:
Guided Random Forest in the RRF Package. CoRR abs/1306.0237 (2013) - 2012
- [c2]Houtao Deng, George C. Runger:
Feature selection via regularized trees. IJCNN 2012: 1-8 - [i2]Houtao Deng, George C. Runger:
Feature Selection via Regularized Trees. CoRR abs/1201.1587 (2012) - [i1]Houtao Deng, George C. Runger:
Gene selection with guided regularized random forest. CoRR abs/1209.6425 (2012) - 2011
- [b1]Houtao Deng:
System Complexity Reduction via Feature Selection. Arizona State University, Tempe, USA, 2011 - [c1]Houtao Deng, George C. Runger, Eugene Tuv:
Bias of Importance Measures for Multi-valued Attributes and Solutions. ICANN (2) 2011: 293-300 - [p1]Houtao Deng, Saylisse Dávila, George C. Runger, Eugene Tuv:
Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection. Ensembles in Machine Learning Applications 2011: 117-131
Coauthor Index
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