Editorial Board
An intelligent recognition model for dynamic air traffic decision-making
Biomedical-domain pre-trained language model for extractive summarization
Abstracting probabilistic models: Relations, constraints and beyond
MTMA: Multi-task multi-attribute learning for the prediction of adverse drug–drug interaction
Towards context-aware collaborative filtering by learning context-aware latent representations
An evidential reasoning approach based on risk attitude and criterion reliability
Graph embedding-based approach for detecting group shilling attacks in collaborative recommender systems
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks
The similarity-consensus regularized multi-view learning for dimension reduction
Balanced scheduling of distributed workflow tasks based on clustering
A method of automatically generating initial parameters for large-scale belief rule base
Collective disambiguation in entity linking based on topic coherence in semantic graphs
Interpretable neural networks based on continuous-valued logic and multicriteria decision operators
Decision-making and multi-objectivization for cost sensitive robust optimization over time
Multiple-source domain adaptation with generative adversarial nets
Collaborative topological filtering with multi-hop recurrent pathological aggregation