Editorial Board
Multi-objective evolutionary computation for topology coverage assessment problem
A big-data oriented recommendation method based on multi-objective optimization
Detecting shilling attacks in recommender systems based on analysis of user rating behavior
Fast kernel extreme learning machine for ordinal regression
A novel edge rewiring strategy for tuning structural properties in networks
Latent graph-regularized inductive robust principal component analysis
Data induced masking representation learning for face data analysis
Online collaborative filtering via fusing the rating consistencies
ANID-SEoKELM: Adaptive network intrusion detection based on selective ensemble of kernel ELMs with random features
Train-movement situation recognition for safety justification using moving-horizon TBM-based multisensor data fusion
Regularized minimax probability machine
A weighted random survival forest
Accelerator for multi-granularity attribute reduction