Editorial Board
Instance-based weighting filter for superparent one-dependence estimators
Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning
A structure optimization method for extended belief-rule-based classification system
Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches
Two-stage sentiment classification based on user-product interactive information
SiamAtt: Siamese attention network for visual tracking
Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds
A robust time series prediction method based on empirical mode decomposition and high-order fuzzy cognitive maps
Improving the robustness of machine reading comprehension model with hierarchical knowledge and auxiliary unanswerability prediction
Robust multi-label feature selection with dual-graph regularization
Comprehensive relative importance analysis and its applications to high dimensional gene expression data analysis
A weighted hybrid ensemble method for classifying imbalanced data
IA-SUWO: An Improving Adaptive semi-unsupervised weighted oversampling for imbalanced classification problems
Sketch-then-Edit Generative Adversarial Network
A prospect theory-based three-way decision model
Recurrent neural network with pooling operation and attention mechanism for sentiment analysis: A multi-task learning approach
Hashtag our stories: Hashtag recommendation for micro-videos via harnessing multiple modalities
Lightweight multi-scale residual networks with attention for image super-resolution
Multi-component transfer metric learning for handling unrelated source domain samples
Auto-Regressive Time Delayed jump neural network for blood glucose levels forecasting
A new iterated local search algorithm for the cyclic bandwidth problem
Attention-aware scoring learning for person re-identification
A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection
Generating attentive goals for prioritized hindsight reinforcement learning
Secure collaborative few-shot learning
Granule description in knowledge granularity and representation
A deep learning model to effectively capture mutation information in multivariate time series prediction
Recognition of opinion leaders coalitions in online social network using game theory
An improved Dragonfly Algorithm for feature selection
CNN-FCM: System modeling promotes stability of deep learning in time series prediction
A mixed integer linear programming support vector machine for cost-effective feature selection
Hidden behavior prediction of complex system based on time-delay belief rule base forecasting model
Cross-modal learning with prior visual relation knowledge
SurvLIME: A method for explaining machine learning survival models
A hybrid model to support decision making in emergency department management
Tag-informed collaborative topic modeling for cross domain recommendations
Supervised link prediction in multiplex networks
Quantum-inspired ant lion optimized hybrid k-means for cluster analysis and intrusion detection
