Editorial Board
Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions
A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection
A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles
Flexible entity marks and a fine-grained style control for knowledge based natural answer generation
Pixel-wise triplet learning for enhancing boundary discrimination in medical image segmentation
Exploring the effect of emotions in human–machine dialog: An approach toward integration of emotional and rational information
Combining deep learning and ontology reasoning for remote sensing image semantic segmentation
A change type-based self-adaptive response strategy for dynamic multi-objective optimization
Explainable machine learning in image classification models: An uncertainty quantification perspective
K-nearest neighbors rule combining prototype selection and local feature weighting for classification
Learning scene-adaptive pseudo annotations for pedestrian detection in semi-supervised scenarios
Broad stochastic configuration network for regression
Multi-view distance metric learning via independent and shared feature subspace with applications to face and forest fire recognition, and remote sensing classification
White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems
An effective water wave optimization algorithm with problem-specific knowledge for the distributed assembly blocking flow-shop scheduling problem
ATDA: Attentional temporal dynamic activation for speech emotion recognition
Large margin projection-based multi-metric learning for classification
Adaptive feature fusion for time series classification
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis
A deep reinforcement learning approach for the meal delivery problem
Increasing naturalness of human–machine dialogue: The users’ choices inference of options in machine-raised questions
GCN-based document representation for keyphrase generation enhanced by maximizing mutual information
Aspect-level sentiment analysis with aspect-specific context position information
FusionSum: Abstractive summarization with sentence fusion and cooperative reinforcement learning
A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid
Linguistic patterns as a framework for an expert knowledge representation in agent movement simulation
DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation
A novel focused crawler combining Web space evolution and domain ontology
Enhanced tensor low-rank representation for clustering and denoising
Local and global context-based pairwise models for sentence ordering
The intelligent decision-making of copper flotation backbone process based on CK-XGBoost
Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values
Density Peak Clustering with connectivity estimation
Automatic update strategy for real-time discovery of hidden customer intents in chatbot systems
Decomposition-based multi-objective optimization approach for PPI network alignment
A new ELECTRE-based method for group decision-making with complex spherical fuzzy information
T-copula and Wasserstein distance-based stochastic neighbor embedding
Unrestricted multi-hop reasoning network for interpretable question answering over knowledge graph
