Editorial Board
Adaptive weighted generalized multi-granulation interval-valued decision-theoretic rough sets
Similarity-learning information-fusion schemes for missing data imputation
An improved differential-based harmony search algorithm with linear dynamic domain
Twin minimax probability extreme learning machine for pattern recognition
Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks
SMOTE based class-specific extreme learning machine for imbalanced learning
A novel deep multi-criteria collaborative filtering model for recommendation system
Linear transformations for cross-lingual semantic textual similarity
Distance-based measures of incoherence for pairwise comparisons
Generalizing identity-based string comparison metrics: Framework and techniques
Fast density peak clustering for large scale data based on kNN
Low-rank graph preserving discriminative dictionary learning for image recognition
A three-stage algorithm on community detection in social networks
Multi-source data fusion for aspect-level sentiment classification
Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection
Batch Bayesian optimization using multi-scale search
Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization
Improving interpolation-based oversampling for imbalanced data learning
Deep learning models and datasets for aspect term sentiment classification: Implementing holistic recurrent attention on target-dependent memories
Effective person re-identification by self-attention model guided feature learning
dyngraph2vec: Capturing network dynamics using dynamic graph representation learning
Gated and attentive neural collaborative filtering for user generated list recommendation
Deep learning fault diagnosis method based on global optimization GAN for unbalanced data
Dynamic dominance rough set approach for processing composite ordered data
A data-driven M2 approach for evidential network structure learning
Hybrid teaching–learning-based optimization and neural network algorithm for engineering design optimization problems
A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks
Truth finding by reliability estimation on inconsistent entities for heterogeneous data sets
A new decision support system for knowledge management in archaeological activities”
Multi-view factorization machines for mobile app recommendation based on hierarchical attention
