Editorial Board
Solving dynamic multi-objective problems with an evolutionary multi-directional search approach
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network
Graph-regularized least squares regression for multi-view subspace clustering
A comprehensive exploration of semantic relation extraction via pre-trained CNNs
Zero-shot learning by mutual information estimation and maximization
Rule-based granular classification: A hypersphere information granule-based method
Learning hierarchical concepts based on higher-order fuzzy semantic cell models through the feed-upward mechanism and the self-organizing strategy
Construction and exploitation of an historical knowledge graph to deal with the evolution of ontologies
Obtaining accurate estimated action values in categorical distributional reinforcement learning
Constrained bilinear factorization multi-view subspace clustering
Incremental feature selection for dynamic hybrid data using neighborhood rough set
A region division based decomposition approach for evolutionary many-objective optimization
Batch allocation for decomposition-based complex task crowdsourcing e-markets in social networks
Learning target-focusing convolutional regression model for visual object tracking
Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem
A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning
Machine learning explainability via microaggregation and shallow decision trees
GEV-NN: A deep neural network architecture for class imbalance problem in binary classification
A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop
Semantics of soft sets and three-way decision with soft sets
An attention-guided and prior-embedded approach with multi-task learning for shadow detection
Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification
DGI: Recognition of Textual Entailment via dynamic gate Matching
A topic-sensitive trust evaluation approach for users in online communities
Heterogeneous graph neural networks for noisy few-shot relation classification
Knowledge of words: An interpretable approach for personality recognition from social media
Kernel compositional embedding and its application in linguistic structured data classification
Visual object tracking with adaptive structural convolutional network
Three-way conflict analysis: A unification of models based on rough sets and formal concept analysis
Probabilistic quantum clustering
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks
Collaborative learning based on centroid-distance-vector for wearable devices
An improved emperor penguin optimization based multilevel thresholding for color image segmentation
SACPC: A framework based on probabilistic linguistic terms for short text sentiment analysis
PGNet: A Part-based Generative Network for 3D object reconstruction
Graph convolutional networks with multi-level coarsening for graph classification
Finding influential nodes in social networks based on neighborhood correlation coefficient
Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints
Attention deep neural network for lane marking detection
Evolutionary and adaptive inheritance enhanced Grey Wolf Optimization algorithm for binary domains
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance
Texture synthesis quality assessment using perceptual texture similarity
Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model
CNN tracking based on data augmentation
A review of deep learning with special emphasis on architectures, applications and recent trends
Interlayer link prediction in multiplex social networks: An iterative degree penalty algorithm
RuleKit: A comprehensive suite for rule-based learning
