Computational Intelligence and Neuroscience

An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining

A Hybrid Pathfinder Optimizer for Unconstrained and Constrained Optimization Problems

Spectral Clustering Algorithm Based on Improved Gaussian Kernel Function and Beetle Antennae Search with Damping Factor

A New Volumetric CNN for 3D Object Classification Based on Joint Multiscale Feature and Subvolume Supervised Learning Approaches

Bacterial Foraging Optimization Based on Self-Adaptive Chemotaxis Strategy

Chinese Emergency Event Recognition Using Conv-RDBiGRU Model

Prediction of Cognitive Decline in Temporal Lobe Epilepsy and Mild Cognitive Impairment by EEG, MRI, and Neuropsychology

An Adaptive Shrinking Grid Search Chaotic Wolf Optimization Algorithm Using Standard Deviation Updating Amount

Diagnosis of Asthma Based on Routine Blood Biomarkers Using Machine Learning

Temporal Association Rule Mining and Updating and Their Application to Blast Furnace in the Steel Industry

SSVEP Enhancement Using Moving Average Filter Controlled by Phase Features

Optimized Mahalanobis–Taguchi System for High-Dimensional Small Sample Data Classification

Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning

Review of Stereo Matching Algorithms Based on Deep Learning

Computational Intelligence and Neuroscience

Table of Contents

Table of Contents: 2020

An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining

A Hybrid Pathfinder Optimizer for Unconstrained and Constrained Optimization Problems

Spectral Clustering Algorithm Based on Improved Gaussian Kernel Function and Beetle Antennae Search with Damping Factor

A New Volumetric CNN for 3D Object Classification Based on Joint Multiscale Feature and Subvolume Supervised Learning Approaches

Bacterial Foraging Optimization Based on Self-Adaptive Chemotaxis Strategy

Chinese Emergency Event Recognition Using Conv-RDBiGRU Model

Prediction of Cognitive Decline in Temporal Lobe Epilepsy and Mild Cognitive Impairment by EEG, MRI, and Neuropsychology

An Adaptive Shrinking Grid Search Chaotic Wolf Optimization Algorithm Using Standard Deviation Updating Amount

Diagnosis of Asthma Based on Routine Blood Biomarkers Using Machine Learning

Temporal Association Rule Mining and Updating and Their Application to Blast Furnace in the Steel Industry

SSVEP Enhancement Using Moving Average Filter Controlled by Phase Features

Optimized Mahalanobis–Taguchi System for High-Dimensional Small Sample Data Classification

Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning

Review of Stereo Matching Algorithms Based on Deep Learning