Editorial Board
Image classification with deep learning in the presence of noisy labels: A survey
Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs
Particle swarm optimization with an enhanced learning strategy and crossover operator
ST-LBAGAN: Spatio-temporal learnable bidirectional attention generative adversarial networks for missing traffic data imputation
An improved LSHADE-RSP algorithm with the Cauchy perturbation: iLSHADE-RSP
Dual-modality hard mining triplet-center loss for visible infrared person re-identification
K-Means clustering based Extreme Learning ANFIS with improved interpretability for regression problems
Unsupervised feature selection via transformed auto-encoder
A reliable ensemble based approach to semi-supervised learning
A comprehensive active learning method for multiclass imbalanced data streams with concept drift
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks
Modeling evidential grids using semantic context information for dynamic scene perception
Nonlinear compensation algorithm for multidimensional temporal data: A missing value imputation for the power grid applications
Joint Visual and Semantic Optimization for zero-shot learning
A context-aware diversity-oriented knowledge recommendation approach for smart engineering solution design
Fairness in machine learning with tractable models
Error-robust low-rank tensor approximation for multi-view clustering
MDFA-Net: Multiscale dual-path feature aggregation network for cardiac segmentation on multi-sequence cardiac MR
Semi-supervised classification on data streams with recurring concept drift and concept evolution
A new fuzzy multi-attribute group decision-making method with generalized maximal consistent block and its application in emergency management
AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
Neural data-to-text generation with dynamic content planning
Comprehensive minimum cost models for large scale group decision making with consistent fuzzy preference relations
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns
Robust multiclass least squares support vector classifier with optimal error distribution
CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems
Learning a Weighted Classifier for Conditional Domain Adaptation
