Editorial Board
Shadowed-set-based three-way clustering methods: An investigation of new optimization-based principles
ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks
Optimization problems subject to addition-Łukasiewicz-product fuzzy relational inequalities with applications in urban sewage treatment systems
Grained matrix and complementary matrix: Novel methods for computing information descriptions in covering approximation spaces
Ship-unloading scheduling optimization with differential evolution
On exploring data lakes by finding compact, isolated clusters
Dynamic graph computing: A method of finding companion vehicles from traffic streaming data
Semi-supervised multi-view graph convolutional networks with application to webpage classification
Bayesian optimization based dynamic ensemble for time series forecasting
An integrated surrogate model constructing method: Annealing combinable Gaussian process
MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams
Adaptively sharing multi-levels of distributed representations in multi-task learning
Semantic guide for semi-supervised few-shot multi-label node classification
An orthogonal classifier for improving the adversarial robustness of neural networks
Matrix representation of the conditional entropy for incremental feature selection on multi-source data
Knowledge extraction and retention based continual learning by using convolutional autoencoder-based learning classifier system
Hybrid attention network based on progressive embedding scale-context for crowd counting
MEACCP: A membrane evolutionary algorithm for capacitated clustering problem
Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection
Actor-critic continuous state reinforcement learning for wind-turbine control robust optimization
Data-feature-driven nonlinear process monitoring based on joint deep learning models with dual-scale
Hypergraph regularized semi-supervised support vector machine
Withdrawal notice to: “Granular computing based machine learning in the era of big data” [Inf. Sci. 591 (2022) 422–423]
WITHDRAWN: Granular computing based machine learning in the era of big data
