Random forest-based approach for physiological functional variable selection for driver’s stress level classification

Correlation and variable importance in random forests

(2016) Baptiste Gregorutti et al.   STATISTICS AND COMPUTING

A Comparison of Physiological Signal Analysis Techniques and Classifiers for Automatic Emotional Evaluation of Audiovisual Contents

(2016) Adrián Colomer Granero et al.   Frontiers in Computational Neuroscience

Grouped variable importance with random forests and application to multiple functional data analysis

(2015) Baptiste Gregorutti et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Effect of ECG-derived respiration (EDR) on modeling ventricular repolarization dynamics in different physiological and psychological conditions

(2014) M. H. Imam et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Applications of functional data analysis: A systematic review

(2013) Shahid Ullah et al.   BMC Medical Research Methodology

Objective measures, sensors and computational techniques for stress recognition and classification: A survey

(2012) Nandita Sharma et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Emotional sweating across the body: Comparing 16 different skin conductance measurement locations

(2012) Marieke van Dooren et al.   PHYSIOLOGY & BEHAVIOR

The behaviour of random forest permutation-based variable importance measures under predictor correlation

(2010) Kristin K Nicodemus et al.   BMC BIOINFORMATICS

Empirical comparison of tree ensemble variable importance measures

(2010) Lidia Auret et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Mining data with random forests: A survey and results of new tests

(2010) A. Verikas et al.   PATTERN RECOGNITION

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS