Editorial Board
Visualizations for decision support in scenario-based multiobjective optimization
Choquet integral optimisation with constraints and the buoyancy property for fuzzy measures
On a clustering-based mining approach with labeled semantics for significant place discovery
Robust stability analysis of an energy-efficient control in a Networked Control System with application to unmanned ground vehicles
Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering
Graph embedding via multi-scale graph representations
A study of interrelationships between rough set model accuracy and granule cover refinement processes
A Gradient-Based Search Method for Multi-objective Optimization Problems
Discriminative visual tracking via spatially smooth and steep correlation filters
Fixing the inconsistencies in fuzzy spatiotemporal RDF graph
Make complex CAPTCHAs simple: A fast text captcha solver based on a small number of samples
Dynamic multi-channel metric network for joint pose-aware and identity-invariant facial expression recognition
Solving maximum quasi-clique problem by a hybrid artificial bee colony approach
A novel algorithmic construction for deductions of categorical polysyllogisms by Carroll’s diagrams
Incremental construction of three-way concept lattice for knowledge discovery in social networks
Cross-domain sentiment classification via parameter transferring and attention sharing mechanism
GT2-CFC: General type-2 collaborative fuzzy clustering method
Automated granule discovery in continuous data for feature selection
Toward hierarchical classification of imbalanced data using random resampling algorithms
Detecting influential news in online communities: An approach based on hexagons of opposition generated by three-way decisions and probabilistic rough sets
Evidential reasoning based ensemble classifier for uncertain imbalanced data
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning
A decentralized algorithm for distributed ensemble clustering
Hyperspectral image classification based on spatial and spectral kernels generation network
Self-Adaptive two roles hybrid learning strategies-based particle swarm optimization
A novel three-way decision approach under hesitant fuzzy information
Robust discriminative feature subspace analysis for kinship verification
Hybrid-attention guided network with multiple resolution features for person re-identification
Subgraph matching on temporal graphs
RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions
Iterative rank-one matrix completion via singular value decomposition and nuclear norm regularization
Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization
On formal concepts of random formal contexts
Simultaneous estimation and modeling of nonlinear, non-Gaussian state-space systems
Deep learning feature-based setpoint generation and optimal control for flotation processes
Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines
Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack
Multimodal soccer highlight identification using a sparse subset of frames integrating long-term sliding windows
The identification of crucial spreaders in complex networks by effective gravity model
Adversarial strategy for transductive zero-shot learning
Turing instability induced by complex networks in a reaction–diffusion information propagation model
Eigenproblem driven triangular fuzzy analytic hierarchy process
Dynamic output feedback control for networked systems with limited communication based on deadband event-triggered mechanism
Zero-shot Learning via the fusion of generation and embedding for image recognition
Fine-grained attribute weighted inverted specific-class distance measure for nominal attributes
Fast local representation learning via adaptive anchor graph for image retrieval
Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification
BALFA: A brain storm optimization-based adaptive latent factor analysis model
Evolutionary multi and many-objective optimization via clustering for environmental selection
