Editorial Board
FLP-ID: Fuzzy-based link prediction in multiplex social networks using information diffusion perspective
Application of domain-adaptive convolutional variational autoencoder for stress-state prediction
UIPBC: An effective clustering for scRNA-seq data analysis without user input
Multi-strategy ensemble binary hunger games search for feature selection
Significance of activation functions in developing an online classifier for semiconductor defect detection
Emotion recognition in conversations with emotion shift detection based on multi-task learning
UBP-Miner: An efficient bit based high utility itemset mining algorithm
A Cα-dominance-based solution estimation evolutionary algorithm for many-objective optimization
BCOVIDOA: A Novel Binary Coronavirus Disease Optimization Algorithm for Feature Selection
New mode cold start monitoring in industrial processes: A solution of spatial–temporal feature transfer
Gradient rectified parameter unit of the fully connected layer in convolutional neural networks
Neighborhood-Exact Nearest Neighbor Search for face retrieval
Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction
Step by step: A hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning
Efficient text document clustering approach using multi-search Arithmetic Optimization Algorithm
A novel bundling learning paradigm for named entity recognition
An improved and random synthetic minority oversampling technique for imbalanced data
Forecasting the exchange rate with multiple linear regression and heavy ordered weighted average operators
MH-Net: Model-data-driven hybrid-fusion network for medical image segmentation
STCDesc: Learning deep local descriptor using similar triangle constraint
Informative knowledge distillation for image anomaly segmentation
Easy balanced mixing for long-tailed data
Just-in-time defect prediction based on AST change embedding
A new framework for collaborative filtering with p-moment-based similarity measure: Algorithm, optimization and application
An immune algorithm for solving the optimization problem of locating the battery swapping stations
SUM: Serialized Updating and Matching for text-based person retrieval
Enhancing bug localization with bug report decomposition and code hierarchical network
A deep learning based framework for diagnosis of mild cognitive impairment
BEAUT: An ExplainaBle Deep LEarning Model for Agent-Based PopUlations With Poor DaTa
Collective information-based particle swarm optimization for multi-fuel CHP economic dispatch problem
LDGC-SR: Integrating long-range dependencies and global context information for session-based recommendation
Joint bi-adversarial learning for unsupervised domain adaptation
An adaptive switching-based evolutionary algorithm for many-objective optimization
Interpretable deep learning LSTM model for intelligent economic decision-making
Boundary-guided network for camouflaged object detection
Group role assignment strategies in microservices team based on E-CARGO model
Malicious software spread modeling and control in cyber–physical systems
Temporal-aware and multifaceted social contexts modeling for social recommendation
Explainable document-level event extraction via back-tracing to sentence-level event clues
Decouple the object: Component-level semantic recognizer for point clouds classification
Learning software requirements syntax: An unsupervised approach to recognize templates
3D residual-attention-deep-network-based childhood epilepsy syndrome classification
Building interpretable models for business process prediction using shared and specialised attention mechanisms
Leveraging Knowledge Graphs and Deep Learning for automatic art analysis
