Editorial Board
PM2.5 prediction and related health effects and economic cost assessments in 2020 and 2021: Case studies in Jing-Jin-Ji, China
Multi-label correlation guided feature fusion network for abnormal ECG diagnosis
Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph
A multi-task learning approach for improving travel recommendation with keywords generation
Artificial immune system training algorithm for a dendritic neuron model
Knowledge distillation via instance-level sequence learning
HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning
Knowledge-enhanced recommendation using item embedding and path attention
Competitive influence maximization considering inactive nodes and community homophily
MeSIN: Multilevel selective and interactive network for medication recommendation
Dynamic early-warning model of dam deformation based on deep learning and fusion of spatiotemporal features
Collaborative caching strategy based on optimization of latency and energy consumption in MEC
Spatio-attention embedded recurrent neural network for air quality prediction
Ensembles of localised models for time series forecasting
Multi-label classification with local pairwise and high-order label correlations using graph partitioning
A rapidly converging artificial bee colony algorithm for portfolio optimization
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem
A clustering solution for analyzing residential water consumption patterns
Dendritic neuron model trained by information feedback-enhanced differential evolution algorithm for classification
Gated multi-attention representation in reinforcement learning
Hybrid deep learning of social media big data for predicting the evolution of COVID-19 transmission
Concurrent time-series selections using deep learning and dimension reduction
Learning discriminative representation for image classification
Deep reinforcement learning for transportation network combinatorial optimization: A survey
TAGAT: Type-Aware Graph Attention neTworks for reasoning over knowledge graphs
Cost-efficient interventions for promoting fairness in the ultimatum game
Explaining Deep Learning using examples: Optimal feature weighting methods for twin systems using post-hoc, explanation-by-example in XAI
Improving graph neural network via complex-network-based anchor structure
Multi-aspect self-supervised learning for heterogeneous information network
An ensemble feature selection algorithm based on PageRank centrality and fuzzy logic
A federated data-driven evolutionary algorithm
DNNAttention: A deep neural network and attention based architecture for cross project defect number prediction
Hierarchical accumulation network with grid attention for image super-resolution
Anti-synchronization of delayed memristive neural networks with leakage term and reaction–diffusion terms
A new method for ensemble combination based on adaptive decision making
Integrating emotion-imitating into strategy learning improves cooperation in social dilemmas with extortion
Outlier detection for multivariate time series: A functional data approach
Probabilistic model for truth discovery with mean and median check framework
An enhanced whale optimization algorithm for large scale optimization problems
Referent graph embedding model for name entity recognition of Chinese car reviews
United equilibrium optimizer for solving multimodal image registration
Industrial time series determinative anomaly detection based on constraint hypergraph
A framework of opinion dynamics using fuzzy linguistic 2-tuples
Retraceable and online multi-objective active optimal control using belief rule base
Enhanced Jaya algorithm: A simple but efficient optimization method for constrained engineering design problems
Diacritics generation and application in hate speech detection on Vietnamese social networks
AMFF: A new attention-based multi-feature fusion method for intention recognition
Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality
