A Joint Unsupervised Cross-Domain Model via Scalable Discriminative Extreme Learning Machine

Goal-Directed Reasoning and Cooperation in Robots in Shared Workspaces: an Internal…

Special Issue of BICS 2016

A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework…

A Hybrid Approach for Arabic Text Summarization Using Domain Knowledge and Genetic…

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.

Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis

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.

Spatio-Context-Based Target Tracking with Adaptive Multi-Feature Fusion for Real-World Hazy…

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.

Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and…

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 .

On Intuitionistic Fuzzy Copula Aggregation Operators in Multiple- Attribute Decision Making

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.

Rank-Adaptive Non-Negative Matrix Factorization

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 .

D-Intuitionistic Hesitant Fuzzy Sets and their Application in Multiple Attribute Decision…

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.

A Novel Spatiotemporal Longitudinal Methodology for Predicting Obesity Using Near Infra r…

Special Issue Editorial: Cognitively Inspired Computing for Knowledge Discovery