Editorial Board
Predictability of diffusion-based recommender systems
A Bayesian approach to abrupt concept drift
Integrating a Bayesian semantic similarity approach into CBR for knowledge reuse in Community Question Answering
Improved Gaussian–Bernoulli restricted Boltzmann machine for learning discriminative representations
VOS: A new outlier detection model using virtual graph
Joint sample and feature selection via sparse primal and dual LSSVM
An encoder–decoder switch network for purchase prediction
A new adaptive weighted imbalanced data classifier via improved support vector machines with high-dimension nature
An active learning framework for set inversion
Hierarchical fuzzy situational networks for online decision-making: Application to telecommunication systems
Rumor detection in Arabic tweets using semi-supervised and unsupervised expectation–maximization
Assessing physical activity and functional fitness level using convolutional neural networks
Optimal manifold neighborhood and kernel width for robust non-linear dimensionality reduction
An evolutionary framework for machine learning applied to medical data
Preference evolution model based on Wechat-like interactions
A deeper graph neural network for recommender systems