Editorial Board
Consensus convergence in large-group social network environment: Coordination between trust relationship and opinion similarity
Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction
Deep learning detection of anomalous patterns from bus trajectories for traffic insight analysis
HeteroGraphRec: A heterogeneous graph-based neural networks for social recommendations
Differentially private regression analysis with dynamic privacy allocation
Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications
Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system
Towards the optimality of service instance selection in mobile edge computing
Archetype analysis: A new subspace outlier detection approach
Multi-view clustering via deep concept factorization
Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification
Efficient texture-aware multi-GAN for image inpainting
Customizing SVM as a base learner with AdaBoost ensemble to learn from multi-class problems: A hybrid approach AdaBoost-MSVM
A hybridized multi-algorithm strategy for engineering optimization problems
Random compact Gaussian kernel: Application to ELM classification and regression
Co-attention networks based on aspect and context for aspect-level sentiment analysis
NSDH: A Nonlinear Supervised Discrete Hashing framework for large-scale cross-modal retrieval
Distributional discrepancy: A metric for unconditional text generation
Build complementary models on human feedback for simulation to the real world
Enhancing recommendation systems performance using highly-effective similarity measures
Retraction notice to “A novel twin minimax probability machine for classification and regression” [Knowl.-Based Syst. 196 (2020) 105703]