Editorial Board
A multi-level fusion based decision support system for academic collaborator recommendation
An effective framework based on local cores for self-labeled semi-supervised classification
Semi-supervised Dual-Branch Network for image classification
Deep density-based image clustering
Multi-modal generative adversarial network for zero-shot learning
Construction of three-way attribute partial order structure via cognitive science and granular computing
Deep multiplex graph infomax: Attentive multiplex network embedding using global information
Quantum recurrent encoder–decoder neural network for performance trend prediction of rotating machinery
Predicting hypoglycemic drugs of type 2 diabetes based on weighted rank support vector machine
Aeronautical relay health state assessment model based on belief rule base with attribute reliability
Weakly supervised learning for image keypoint matching using graph convolutional networks
Identifying legitimate Web users and bots with different traffic profiles — an Information Bottleneck approach
Robust active contours driven by order-statistic filtering energy for fast image segmentation
Knowledge extraction and insertion to deep belief network for gearbox fault diagnosis
Feature selection with limited bit depth mutual information for portable embedded systems
Fractional-order calculus-based flower pollination algorithm with local search for global optimization and image segmentation
Fuzzy clustering based on feature weights for multivariate time series
Enhancing QUasi-Affine TRansformation Evolution (QUATRE) with adaptation scheme on numerical optimization
A Dynamic Parameter Enhanced Network for distant supervised relation extraction
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition
Data alignments in machinery remaining useful life prediction using deep adversarial neural networks
ADRL: An attention-based deep reinforcement learning framework for knowledge graph reasoning
Document-level multi-topic sentiment classification of Email data with BiLSTM and data augmentation
BCV-Predictor: A bug count vector predictor of a successive version of the software system
A multi-context representation approach with multi-task learning for object counting
