Computational Intelligence and Neuroscience

A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification

Information Literacy Assessment with a Modified Hybrid Differential Evolution with Model-Based Reinitialization

A Many-Objective Optimization Algorithm Based on Weight Vector Adjustment

Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate

A Two-Step Neural Dialog State Tracker for Task-Oriented Dialog Processing

Pilot Study on Gait Classification Using fNIRS Signals

Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning

A Hybrid Model for Forecasting Sunspots Time Series Based on Variational Mode Decomposition and Backpropagation Neural Network Improved by Firefly Algorithm

Kernel Entropy Component Analysis with Nongreedy L1-Norm Maximization

The Mobile Charging Vehicle Routing Problem with Time Windows and Recharging Services

Social Touch Gesture Recognition Using Convolutional Neural Network

Forecasting Short-Term Traffic Flow by Fuzzy Wavelet Neural Network with Parameters Optimized by Biogeography-Based Optimization Algorithm

Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies

Student Engagement Predictions in an e-Learning System and Their Impact on Student Course Assessment Scores

Computational Intelligence and Neuroscience

Table of Contents

Table of Contents: 2018

A Bat-Inspired Sparse Recovery Algorithm for Compressed Sensing

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification

Information Literacy Assessment with a Modified Hybrid Differential Evolution with Model-Based Reinitialization

A Many-Objective Optimization Algorithm Based on Weight Vector Adjustment

Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate

A Two-Step Neural Dialog State Tracker for Task-Oriented Dialog Processing

Pilot Study on Gait Classification Using fNIRS Signals

Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning

A Hybrid Model for Forecasting Sunspots Time Series Based on Variational Mode Decomposition and Backpropagation Neural Network Improved by Firefly Algorithm

Kernel Entropy Component Analysis with Nongreedy L1-Norm Maximization

The Mobile Charging Vehicle Routing Problem with Time Windows and Recharging Services

Social Touch Gesture Recognition Using Convolutional Neural Network

Forecasting Short-Term Traffic Flow by Fuzzy Wavelet Neural Network with Parameters Optimized by Biogeography-Based Optimization Algorithm

Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies

Student Engagement Predictions in an e-Learning System and Their Impact on Student Course Assessment Scores