Editorial Board
A restart local search algorithm with relaxed configuration checking strategy for the minimum k-dominating set problem
A novel adversarial domain adaptation transfer learning method for tool wear state prediction
Single image dehazing with an independent Detail-Recovery Network
Automating the design and development of gradient descent trained expert system networks
A PLS-based pruning algorithm for simplified long–short term memory neural network in time series prediction
Multi-task prediction method of business process based on BERT and Transfer Learning
A dual learning-based recommendation approach
Dual contrastive universal adaptation network for multi-source visual recognition
Synchronization of multiple reaction–diffusion memristive neural networks with known or unknown parameters and switching topologies
Layered input GradiNet for image denoising
Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM
Minimally overfitted learners: A general framework for ensemble learning
UBAR: User Behavior-Aware Recommendation with knowledge graph
Deep human answer understanding for natural reverse QA
A hybrid ensemble feature selection design for candidate biomarkers discovery from transcriptome profiles
HEFT: A History-Enhanced Feature Transfer framework for incremental event detection
HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content
Self-labeling with feature transfer for speech emotion recognition
DenseUNet: Improved image classification method using standard convolution and dense transposed convolution
Online influence maximization in the absence of network structure
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting
Class-specific representation based distance metric learning for image set classification
Adaptive dynamic event-triggered control for constrained modular reconfigurable robot
Improving performance and efficiency of Graph Neural Networks by injective aggregation
Unified dissipativity state estimation for delayed generalized impulsive neural networks with leakage delay effects
Multi-view clustering with constructed bipartite graph in embedding space
A multi-output multi-fidelity Gaussian process model for non-hierarchical low-fidelity data fusion
Pixel type classification based reversible data hiding for hyperspectral images
Cooperative Bayesian optimization with hybrid grouping strategy and sample transfer for expensive large-scale black-box problems
Visual object tracking via non-local correlation attention learning
Deformable attention-oriented feature pyramid network for semantic segmentation
Stream-based active learning with linear models
Multi-strategy boosted marine predators algorithm for optimizing approximate developable surface
Uncertainty-based contrastive prototype-matching network towards cross-domain fault diagnosis with small data
GON: End-to-end optimization framework for constraint graph optimization problems
The mechanism of orientation detection based on color-orientation jointly selective cells
Attend and select: A segment selective transformer for microblog hashtag generation
Muformer: A long sequence time-series forecasting model based on modified multi-head attention
Enhancing pretrained language models with structured commonsense knowledge for textual inference
