Interpreting tree ensembles with inTrees.
Int. J. Data Sci. Anal., 2019
Leveraging Elastic Demand for Forecasting.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
A distance-based control chart for monitoring multivariate processes using support vector machines.
Ann. Oper. Res., 2018
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
NeuroImage, 2015
SMT: Sparse multivariate tree.
Stat. Anal. Data Min., 2014
Integrative analysis of the connectivity and gene expression atlases in the mouse brain.
NeuroImage, 2014
CBC: An associative classifier with a small number of rules.
Decis. Support Syst., 2014
Gene selection with guided regularized random forest.
Pattern Recognit., 2013
A time series forest for classification and feature extraction.
Inf. Sci., 2013
Guided Random Forest in the RRF Package.
CoRR, 2013
Feature selection via regularized trees.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection.
Proceedings of the Ensembles in Machine Learning Applications, 2011
System Complexity Reduction via Feature Selection.
PhD thesis, 2011
Bias of Importance Measures for Multi-valued Attributes and Solutions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011