Editorial Board
Implicit user relationships across sessions enhanced graph for session-based recommendation
Hyperbolic regression: a new regression model with applications to the binary classification problem
Three-way sampling for rapid attribute reduction
Tensor subspace clustering using consensus tensor low-rank representation
Adjustable driving force based particle swarm optimization algorithm
SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction
Constrained adaptive fuzzy super-twisting control for space circumnavigation mission with input constraints and rough dynamics information
M-LDQ feature embedding and regression modeling for distribution-valued data
Two efficient local search algorithms for the vertex bisection minimization problem
A graph based approach for mining significant places in trajectory data
Opinion influence maximization problem in online social networks based on group polarization effect
Unsupervised manifold learning with polynomial mapping on symmetric positive definite matrices
Recursive least mean dual p-power solution to the generalization of evolving fuzzy system under multiple noises
Free-quasi-alternative switching signal for switched systems with unstable subsystems
Unsupervised domain adaptation via softmax-based prototype construction and adaptation
A new symbolic representation method for time series
Specific class center guided deep hashing for cross-modal retrieval
New framework for code-mapping-based reversible data hiding in JPEG images
Optimal design of a nonlinear control system based on new deterministic neural network scheduling
Improving differential evolution using a best discarded vector selection strategy
Reachable set estimation and synthesis for semi-Markov jump systems
Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem
A new shape-based clustering algorithm for time series
A behavior fusion method based on inverse reinforcement learning
ε-Constrained multiobjective differential evolution using linear population size expansion
Adaptive graph learning for semi-supervised feature selection with redundancy minimization
Labeled projective dictionary pair learning: application to handwritten numbers recognition
Semantic translation of face image with limited pixels for simulated prosthetic vision
Three-way decisions based service migration strategy in mobile edge computing
Multi-mode dynamic residual graph convolution network for traffic flow prediction
Superpixel-guided locality quaternion representation for color face hallucination
CBIM: Community-based influence maximization in multilayer networks
Transferable regularization and normalization: Towards transferable feature learning for unsupervised domain adaptation
Another estimation of Laplacian spectrum of the Kronecker product of graphs
Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection
Consensus of linear multi-agent systems by distributed event-triggered strategy with designable minimum inter-event time
Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics
Approximate inferring with confidence predicting based on uncertain knowledge graph embedding
A novel locally-constrained GAN-based ensemble to synthesize arterial spin labeling images
Fitness landscape analysis of convolutional neural network architectures for image classification
Online social network individual depression detection using a multitask heterogenous modality fusion approach
Proximal policy optimization via enhanced exploration efficiency
Intelligent ensembling of auto-ML system outputs for solving classification problems
Transportation planning for sustainable supply chain network using big data technology
Joint hyperbolic and Euclidean geometry contrastive graph neural networks
Consensus graph learning for auto-weighted multi-view projection clustering
Dwell-time-dependent memory based state feedback controller design for switched Takagi–Sugeno fuzzy nonlinear systems
Multi-view clustering with adaptive procrustes on Grassmann manifold
Centroids-guided deep multi-view K-means clustering
Toward a perceptive pretraining framework for Audio-Visual Video Parsing
Contrastive semantic similarity learning for image captioning evaluation
Saturation control for fuzzy markovian switching systems with singularly perturbation and cyber-attacks
Fast unsupervised embedding learning with anchor-based graph
Network steganography based security framework for cyber-physical systems
Region interaction and attribute embedding for zero-shot learning
A new self-paced learning method for privilege-based positive and unlabeled learning
Assessing the impact of data augmentation and a combination of CNNs on leukemia classification
A weakly-supervised graph-based joint sentiment topic model for multi-topic sentiment analysis
ML-MMAS: Self-learning ant colony optimization for multi-criteria journey planning
Label correlations variation for robust multi-label feature selection
λ-Scaled-attention: A novel fast attention mechanism for efficient modeling of protein sequences
A fast spectral clustering technique using MST based proximity graph for diversified datasets
Adaptive KNN and graph-based auto-weighted multi-view consensus spectral learning
A random approximate reduct-based ensemble learning approach and its application in software defect prediction
Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment
Outperformance of the pharmaceutical sector during the COVID-19 pandemic: Global time-varying screening rule development
Privacy-preserving knowledge transfer for intrusion detection with federated deep autoencoding gaussian mixture model
Secret inference and attacktability analysis of discrete event systems
Distributionally robust equilibrious hybrid vehicle routing problem under twofold uncertainty
Analyzing the extremization of opinions in a general framework of bounded confidence and repulsion
Combining attention with spectrum to handle missing values on time series data without imputation
An efficient approach for mining maximized erasable utility patterns
Facial age estimation using tensor based subspace learning and deep random forests
Noise tolerant drift detection method for data stream mining
Adaptive robust Adaboost-based twin support vector machine with universum data
Domain adaptive state representation alignment for reinforcement learning
Target layer regularization for continual learning using Cramer-Wold distance
Visualizing deep networks using segmentation recognition and interpretation algorithm
A GAN-based hybrid sampling method for imbalanced customer classification
Multistability analysis of octonion-valued neural networks with time-varying delays
Finite/fixed-time bipartite consensus for networks of diffusion PDEs via event-triggered control
Digital image steganography: A literature survey
Radial basis network simulation for noisy multiobjective optimization considering evolution control
Deep learning based hashtag recommendation system for multimedia data
Decentralized sampled-data H∞ fuzzy filtering with exponential time-varying gains for nonlinear interconnected systems
Improving the quality of generative models through Smirnov transformation
Elite-ordinary synergistic particle swarm optimization
Stabilization and synchronization control for complex dynamical networks with dynamic link subsystem
A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization
Sampled-data-based consensus of multi-agent systems with multiplicative noise and time-delays
An efficient global optimization algorithm for expensive constrained black-box problems by reducing candidate infilling region
Causal networks reveal the response of Chinese stocks to modern crises
Conditional investment strategy in evolutionary trust games with repeated group interactions
The random walk-based gravity model to identify influential nodes in complex networks
Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel options
