Editorial Board
Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach
Universum Selection for Boosting the Performance of Multiclass Support Vector Machines Based on One-versus-One Strategy
Emperor penguin optimizer: A bio-inspired algorithm for engineering problems
Compact real-valued teaching-learning based optimization with the applications to neural network training
Symmetric convolutional neural network for mandible segmentation
A fusion probability matrix factorization framework for link prediction
A large scale consensus reaching process managing group hesitation
A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events
Assessment model for perceived visual complexity of painting images
An MCDM method for cloud service selection using a Markov chain and the best-worst method
Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems
Multi-label learning with label-specific features by resolving label correlations
Background music recommendation based on latent factors and moods
A new classification algorithm recommendation method based on link prediction
Multiple-attribute decision-making method based on the correlation coefficient between dual hesitant fuzzy linguistic term sets
Finding and analysing good neighbourhoods to improve collaborative filtering
Robust semi-supervised extreme learning machine
Unassisted thresholding based on multi-objective evolutionary algorithms
Collective behavior learning by differentiating personal preference from peer influence
Active learning with confidence-based answers for crowdsourcing labeling tasks
Cross-correlation conditional restricted Boltzmann machines for modeling motion style
An improved feature selection algorithm based on graph clustering and ant colony optimization
Normal wiggly hesitant fuzzy sets and their application to environmental quality evaluation
Truth selection for truth discovery models exploiting ordering relationship among values
Robust clustering by identifying the veins of clusters based on kernel density estimation
A Novel Three-way decision model with decision-theoretic rough sets using utility theory
