Editorial Board
Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules
DI-AA: An interpretable white-box attack for fooling deep neural networks
Three-way decision-based tri-training with entropy minimization
Student-t kernelized fuzzy rough set model with fuzzy divergence for feature selection
DS-UNet: A dual streams UNet for refined image forgery localization
A stage model for agent-based emotional persuasion with an adaptive target: From a social exchange perspective
Diversity embedding deep matrix factorization for multi-view clustering
TiWS-iForest: Isolation forest in weakly supervised and tiny ML scenarios
A back-diffusion median integrated evolutionary optimization algorithm
A probabilistic multi-criteria evaluation framework for integrated energy system planning
True wide convolutional neural network for image denoising
A spatio-temporal sequence-to-sequence network for traffic flow prediction
r-Reference points based k-means algorithm
Leveraging multidimensional features for policy opinion sentiment prediction
Self-supervised deep geometric subspace clustering network
TDTA: A truth detection based task assignment scheme for mobile crowdsourced Industrial Internet of Things
Contrastive autoencoder for anomaly detection in multivariate time series
Stable matching-based two-way selection in multi-label active learning with imbalanced data
An efficient double-image encryption and hiding algorithm using a newly designed chaotic system and parallel compressive sensing
A novel long-term power forecasting based smart grid hybrid energy storage system optimal sizing method considering uncertainties
PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion–advection equation
Mining consensus sequence in multi-criteria group decision making with incomparability of alternatives and conflicts of experts
Multi-objective pruning of dense neural networks using deep reinforcement learning
Optimal couple-group tracking control for the heterogeneous multi-agent systems with cooperative-competitive interactions via reinforcement learning method
Markov Chain Monte Carlo for generating ranked textual data
Z-ACM: An approximate calculation method of Z-numbers for large data sets based on kernel density estimation and its application in decision-making
DA-Net: Dual-attention network for multivariate time series classification
Linguistic information-based granular computing based on a tournament selection operator-guided PSO for supporting multi-attribute group decision-making with distributed linguistic preference relations
EEG-based cross-subject emotion recognition using Fourier-Bessel series expansion based empirical wavelet transform and NCA feature selection method
Class-specific weighted broad learning system for imbalanced heartbeat classification
Distributed graph pattern matching via bounded dual simulation
Wind-field identification for parafoils based on deep Q-learning iterative inversion
Coarse-to-fine few-shot classification with deep metric learning
Decomposition-based multiobjective optimization for nonlinear equation systems with many and infinitely many roots
Fixed-/Preassigned-time stabilization of delayed memristive neural networks
Convergence analysis of distributed population dynamics based on second-order Delaunay triangulation
A binary individual search strategy-based bi-objective evolutionary algorithm for high-dimensional feature selection
Optimal encryption strategy for cyber-physical systems against stealthy attacks with energy constraints: A Stackelberg game approach
A geometric-based clustering method using natural neighbors
ConGNN: Context-consistent cross-graph neural network for group emotion recognition in the wild
Bayesian inductive learning in group recommendations for seen and unseen groups
Offline reinforcement learning with representations for actions
A new multi-objective optimization algorithm based on combined swarm intelligence and Monte Carlo simulation
Cross-domain decision making with parameter transfer based on value function
A constructive framework to define fusion functions with floating domains in arbitrary closed real intervals
Efficient edge filtering of directly-follows graphs for process mining
Consensus reaching with dynamic expert credibility under Dempster-Shafer theory
Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm
An operator pre-selection strategy for multiobjective evolutionary algorithm based on decomposition
Robust multi-view learning via adaptive regression
Joint global metric learning and local manifold preservation for scene recognition
Best-worst Tradeoff method
A new linguistic preference relation-based approach for failure mode and effect analysis with dynamic consensus reaching process
Identification of influential nodes in complex networks: A local degree dimension approach
A new decision model with integrated approach for healthcare waste treatment technology selection with generalized orthopair fuzzy information
Gaussian kernel based gene selection in a single cell gene decision space
Robust local-coordinate non-negative matrix factorization with adaptive graph for robust clustering
Artificial bee colony algorithm based on adaptive neighborhood topologies
Parallel incremental efficient attribute reduction algorithm based on attribute tree
A parallel based evolutionary algorithm with primary-auxiliary knowledge
An analysis of the admissibility of the objective functions applied in evolutionary multi-objective clustering
Two-stage hybrid learning-based multi-objective evolutionary algorithm based on objective space decomposition
