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Zhihua Cai

IEEE access special section editorial: advanced data analytics for large-scale complex data environments
Multi-graph-view subgraph mining for graph classification
Boosting for multi-graph classification
Locally weighted learning: how and when does it work in Bayesian networks?
Multi-graph-view learning for complicated object classification
Multi-graph-view Learning for Graph Classification
Self-adaptive attribute weighting for Naive Bayes classification
Attribute weighting: how and when does it work for Bayesian Network Classification
Dual instance and attribute weighting for Naive Bayes classification
Exploring features for complicated objects: cross-view feature selection for multi-instance learning
Multi-graph learning with positive and unlabeled bags

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