Computational Intelligence and Neuroscience

STATCOM Estimation Using Back-Propagation, PSO, Shuffled Frog Leap Algorithm, and Genetic Algorithm Based Neural Networks

A New Approach to Diagnose Parkinson’s Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis

Constructing Temporally Extended Actions through Incremental Community Detection

A Community Detection Approach to Cleaning Extremely Large Face Database

Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications

Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence

Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game

Sinc-Windowing and Multiple Correlation Coefficients Improve SSVEP Recognition Based on Canonical Correlation Analysis

Effectiveness of Serious Games for Leap Motion on the Functionality of the Upper Limb in Parkinson’s Disease: A Feasibility Study

Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm

A Machine Learning Approach to the Detection of Pilot’s Reaction to Unexpected Events Based on EEG Signals

Deep Learning Methods for Underwater Target Feature Extraction and Recognition

A Seasonal Time-Series Model Based on Gene Expression Programming for Predicting Financial Distress

Single-Trial Evoked Potential Estimating Based on Sparse Coding under Impulsive Noise Environment

Assessment of Multivariate Neural Time Series by Phase Synchrony Clustering in a Time-Frequency-Topography Representation

Computational Intelligence and Neuroscience

Table of Contents

Table of Contents: 2018

STATCOM Estimation Using Back-Propagation, PSO, Shuffled Frog Leap Algorithm, and Genetic Algorithm Based Neural Networks

A New Approach to Diagnose Parkinson’s Disease Using a Structural Cooccurrence Matrix for a Similarity Analysis

Constructing Temporally Extended Actions through Incremental Community Detection

A Community Detection Approach to Cleaning Extremely Large Face Database

Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications

Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence

Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game

Sinc-Windowing and Multiple Correlation Coefficients Improve SSVEP Recognition Based on Canonical Correlation Analysis

Effectiveness of Serious Games for Leap Motion on the Functionality of the Upper Limb in Parkinson’s Disease: A Feasibility Study

Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm

A Machine Learning Approach to the Detection of Pilot’s Reaction to Unexpected Events Based on EEG Signals

Deep Learning Methods for Underwater Target Feature Extraction and Recognition

A Seasonal Time-Series Model Based on Gene Expression Programming for Predicting Financial Distress

Single-Trial Evoked Potential Estimating Based on Sparse Coding under Impulsive Noise Environment

Assessment of Multivariate Neural Time Series by Phase Synchrony Clustering in a Time-Frequency-Topography Representation