Cognitive Computation

Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation

Interpreting Recurrent Neural Networks Behaviour via Excitable Network Attractors

A Cognitively Inspired System Architecture for the Mengshi Cognitive Vehicle

An Integrated Method with PROMETHEE and Conflict Analysis for Qualitative and Quantitative Decision-Making: Case Study of Site Selection for Wind Power Plants

A Novel Decision-Making Method Based on Probabilistic Linguistic Information

Learning with Similarity Functions: a Tensor-Based Framework

Functional Brain Network Classification for Alzheimer’s Disease Detection with Deep Features and Extreme Learning Machine

Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning

Improvements on Correlation Coefficients of Hesitant Fuzzy Sets and Their Applications

Overview of Hesitant Linguistic Preference Relations for Representing Cognitive Complex Information: Where We Stand and What Is Next

Discriminant Zero-Shot Learning with Center Loss

Unsupervised Object Transfiguration with Attention

Research Progress on Semi-Supervised Clustering

Salient Superpixel Visual Tracking with Graph Model and Iterative Segmentation

Cognitively Inspired Feature Extraction and Speech Recognition for Automated Hearing Loss Testing

Multi-Region Risk-Sensitive Cognitive Ensembler for Accurate Detection of Attention-Deficit/Hyperactivity Disorder

PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams

Image Captioning with Memorized Knowledge

Visual Cognition–Inspired Multi-View Vehicle Re-Identification via Laplacian-Regularized Correlative Sparse Ranking

Automatic Design of Deep Networks with Neural Blocks

Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm

Feature Selection and Evolutionary Rule Learning for Big Data in Smart Building Energy Management

An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models

A Collaborative-Filtering-Based Data Collection Strategy for Friedreich’s Ataxia

Multi-Scale Mahalanobis Kernel-Based Support Vector Machine for Classification of High-Resolution Remote Sensing Images

Predicting Seminal Quality via Imbalanced Learning with Evolutionary Safe-Level Synthetic Minority Over-Sampling Technique

Multi-target Interactive Neural Network for Automated Segmentation of the Hippocampus in Magnetic Resonance Imaging

Improving the Recall Performance of a Brain Mimetic Microcircuit Model

Word Spotting in Background Music: a Behavioural Study

Triangular Fuzzy Neutrosophic Preference Relations and Their Application in Enterprise Resource Planning Software Selection

Cognitive Insights into Sentic Spaces Using Principal Paths

Multi-Granulation-Based Graphical Analytics of Three-Way Bipolar Neutrosophic Contexts

Determination of Temporal Stock Investment Styles via Biclustering Trading Patterns

Biological Neuron Coding Inspired Binary Word Embeddings

A Cognitively Inspired Knowledge-Based Decision-Making Methodology Employing Intuitionistic Fuzzy Sets

Diversity-Based Random Forests with Sample Weight Learning

Modeling Marked Temporal Point Process Using Multi-relation Structure RNN

A Multiple Attribute Group Decision-making Method Based on the Partitioned Bonferroni Mean of Linguistic Intuitionistic Fuzzy Numbers

EPF: A General Framework for Supporting Continuous Top-k Queries Over Streaming Data

Information Theoretic Model to Simulate Agent-Signage Interaction for Wayfinding

Joint Sparse Regularization for Dictionary Learning

Using the Instance-Based Learning Paradigm to Model Energy-Relevant Occupant Behaviors in Buildings

Rank-Based Gravitational Search Algorithm: a Novel Nature-Inspired Optimization Algorithm for Wireless Sensor Networks Clustering

CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images

D-WASPAS: Addressing Social Cognition in Uncertain Decision-Making with an Application to a Sustainable Project Portfolio Problem

Rising Star Evaluation Based on Extreme Learning Machine in Geo-Social Networks

Bidirectional Cognitive Computing Model for Uncertain Concepts