Study on Feature Selection Methods for Depression Detection Using Three-Electrode EEG Data

EEG-based mild depressive detection using feature selection methods and classifiers

(2016) Xiaowei Li et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification

(2013) Bilwaj Gaonkar et al.   NEUROIMAGE

Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal

(2012) Behshad Hosseinifard et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Detection of epileptic electroencephalogram based on Permutation Entropy and Support Vector Machines

(2011) Nicoletta Nicolaou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Neural Network Approaches to Grade Adult Depression

(2011) Subhagata Chattopadhyay et al.   JOURNAL OF MEDICAL SYSTEMS

Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome

(2011) Rémi Cuingnet et al.   MEDICAL IMAGE ANALYSIS

Independent component approach to the analysis of EEG recordings at early stages of depressive disorders

(2009) Vera A. Grin-Yatsenko et al.   CLINICAL NEUROPHYSIOLOGY

EEG Power Spectra at Early Stages of Depressive Disorders

(2009) Vera A. Grin-Yatsenko et al.   JOURNAL OF CLINICAL NEUROPHYSIOLOGY

Applying the unscented Kalman filter for nonlinear state estimation

(2008) Rambabu Kandepu et al.   JOURNAL OF PROCESS CONTROL