Editorial Board
Proof by Earnestness (PoE) to determine the authenticity of subjective information in blockchains - application in supply chain risk management
Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs
Improving the search accuracy of differential evolution by using the number of consecutive unsuccessful updates
A new fuzzy cognitive maps classifier based on capsule network
Motif discovery based traffic pattern mining in attributed road networks
Mapping the knowledge frontiers and evolution of decision making based on agent-based modeling
Multimodality in meta-learning: A comprehensive survey
Task scheduling of the collaborative aerial–ground system for the search and capture of multiple targets
ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation
Unsupervised domain adaptation via discriminative feature learning and classifier adaptation from center-based distances
Natural scene text detection and recognition based on saturation-incorporated multi-channel MSER
An efficient neural network-based method for patient-specific information involved arrhythmia detection
Detailed feature extraction network-based fine-grained face segmentation
Deep-attack over the deep reinforcement learning
Learning heterogeneous graph embedding for Chinese legal document similarity
A novel Random Forest integrated model for imbalanced data classification problem
Differentially private recommender system with variational autoencoders
Hierarchical Correlations Replay for Continual Learning
A lightweight ensemble discriminator for Generative Adversarial Networks
Learning high-order structural and attribute information by knowledge graph attention networks for enhancing knowledge graph embedding
Dynamic graph convolutional networks based on spatiotemporal data embedding for traffic flow forecasting
Statistical-mean double-quantitative K-nearest neighbor classification learning based on neighborhood distance measurement
An intelligent metaphor-free spatial information sampling algorithm for balancing exploitation and exploration
Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting
Portfolio optimization and return prediction by integrating modified deep belief network and recurrent neural network
An agnostic and efficient approach to identifying features from execution traces
Single image depth estimation based on sculpture strategy
Unsupervised domain adaptation with Joint Adversarial Variational AutoEncoder
Balanced clustering based on collaborative neurodynamic optimization
ADHD identification and its interpretation of functional connectivity using deep self-attention factorization
Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion
Unsupervised feature selection for image classification: A bipartite matching-based principal component analysis approach
Towards safe and robust weakly-supervised anomaly detection under subpopulation shift
A task allocation algorithm for a swarm of unmanned aerial vehicles based on bionic wolf pack method
Partial multi-label learning via specific label disambiguation
Transferable graph features-driven cross-domain rotating machinery fault diagnosis
Predictive machine learning for prescriptive applications: A coupled training–validating approach
DSGWO: An improved grey wolf optimizer with diversity enhanced strategy based on group-stage competition and balance mechanisms
Inductive conformal recommender system
Two-stage network DEA with shared resources: Illustrating the drawbacks and measuring the overall efficiency
Deep spatio-temporal 3D densenet with multiscale ConvLSTM-Resnet network for citywide traffic flow forecasting
A shape-guided deep residual network for automated CT lung segmentation
Constrained multiobjective differential evolution algorithm with infeasible-proportion control mechanism
Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization
Multi-objective particle swarm optimization with multi-mode collaboration based on reinforcement learning for path planning of unmanned air vehicles
Fixed-time synchronization for inertial Cohen–Grossberg delayed neural networks: An event-triggered approach
Network structural perturbation against interlayer link prediction
Network Alignment enhanced via modeling heterogeneity of anchor nodes
Boundary assembling method for joint entity and relation extraction
Entire Deformable ConvNets for semantic segmentation
Information maximization clustering via multi-view self-labelling
ICE-DEN: A click-through rate prediction method based on interest contribution extraction of dynamic attention intensity
MC-LCR: Multimodal contrastive classification by locally correlated representations for effective face forgery detection
Cognitive-based adaptive scenarios in educational games using fuzzy reasoning
Heterogenous affinity graph inference network for document-level relation extraction
Learning missing instances in latent space for incomplete multi-view clustering
KGVQL: A knowledge graph visual query language with bidirectional transformations
A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms
YogNet: A two-stream network for realtime multiperson yoga action recognition and posture correction
Meta-learning based spatial-temporal graph attention network for traffic signal control
A noise-aware fuzzy rough set approach for feature selection
A new hidden behavior prediction model of complex systems under perturbations
Fingermark quality assessment framework with classic and deep learning ensemble models
A novel quantitative relationship neural network for explainable cognitive diagnosis model
Label enhancement-based feature selection via fuzzy neighborhood discrimination index
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
Multi-expert human action recognition with hierarchical super-class learning
MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity
Dynamic graph dropout for subgraph-based relation prediction
The most active community search in large temporal graphs
Knowledge guided Bayesian classification for dynamic multi-objective optimization
Towards privacy-preserving and verifiable federated matrix factorization
Knowledge-enhanced attentive learning for answer selection in community question answering systems
Negative sampling and rule mining for explainable link prediction in knowledge graphs
Efficiently embedding dynamic knowledge graphs
CCA-Net: Clinical-awareness attention network for nuclear cataract classification in AS-OCT
