CognitiveComputation

A Joint Unsupervised Cross-Domain Model via Scalable Discriminative Extreme Learning Machine goo.gl/fb/MwrgK2

Goal-Directed Reasoning and Cooperation in Robots in Shared Workspaces: an Internal… goo.gl/fb/LSY3be

Special Issue of BICS 2016 goo.gl/fb/Bvm7AL

A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework… goo.gl/fb/y4c9AH

A Hybrid Approach for Arabic Text Summarization Using Domain Knowledge and Genetic… goo.gl/fb/g9f8dz

Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis - Abstract Sentiment analysis has emerged as one of the most popular natural language processing (NLP) tasks in recent years. A classic setting of the task mainly involves clas... ow.ly/xCL650gRaAX

Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis goo.gl/fb/DiQRA4

Spatio-Context-Based Target Tracking with Adaptive Multi-Feature Fusion for Real-World Hazy Scenes - Abstract The problem of serious air pollution such as haze and fog and other complex scenes has posed great challenges for target tracking in computer... ow.ly/mTl850gQgfL

Spatio-Context-Based Target Tracking with Adaptive Multi-Feature Fusion for Real-World Hazy… goo.gl/fb/x15YdU

Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and Sequence Labeling Tasks - Abstract Word Embeddings are low-dimensional distributed representations that encompass a set of language modeling and feature learning te... ow.ly/8X2u50gHFcG

Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and… goo.gl/fb/FPRmLJ

On Intuitionistic Fuzzy Copula Aggregation Operators in Multiple- Attribute Decision Making - Abstract Operations of intuitionistic fuzzy values have been widely studied and have attracted significant interest. In this paper, some other operations on ... ow.ly/EKZg50gtgWY

On Intuitionistic Fuzzy Copula Aggregation Operators in Multiple- Attribute Decision Making goo.gl/fb/T51HCY

Rank-Adaptive Non-Negative Matrix Factorization - Abstract Dimension reduction is a challenge task in data processing, especially in high-dimensional data processing area. Non-negative matrix factorization (NMF), as a classical dimension reduction met... ow.ly/3FN150gpCci

Rank-Adaptive Non-Negative Matrix Factorization goo.gl/fb/pdggKL

D-Intuitionistic Hesitant Fuzzy Sets and their Application in Multiple Attribute Decision Making - Abstract Hesitant fuzzy sets (HFSs) and generalized hesitant fuzzy sets (GHFSs) provide useful tools for uncertain information processing in situations ... ow.ly/TVOp50gnUfd

D-Intuitionistic Hesitant Fuzzy Sets and their Application in Multiple Attribute Decision… goo.gl/fb/B9F46U

A Novel Spatiotemporal Longitudinal Methodology for Predicting Obesity Using Near Infra r ed Spectroscopy (NIRS) Cerebral Functional Activity Data - Abstract Globally, there has been a dramatic increase in obesity, with prevalence in males and females... ow.ly/oB7g50gjsZO

A Novel Spatiotemporal Longitudinal Methodology for Predicting Obesity Using Near Infra r… goo.gl/fb/5oRZ5g

Special Issue Editorial: Cognitively Inspired Computing for Knowledge Discovery ow.ly/43jW50gekon