29 citations · 38 across the 5 of their papers we have counts for
5 papers
Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification
Ruimin Peng, Zhenbang Du, Changming Zhao +4
Cross-subject electroencephalogram (EEG) based seizure subtype classification is very important in precise epilepsy diagnostics. Deep learning is a promising solution, due to its a…
Semi-Supervised Transfer Boosting (SS-TrBoosting)
Lingfei Deng, Changming Zhao, Zhenbang Du +2
Semi-supervised domain adaptation (SSDA) aims at training a high-performance model for a target domain using few labeled target data, many unlabeled target data, and plenty of auxi…
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief
Zhenhua Shi, Dongrui Wu, Chenfeng Guo +3
To effectively optimize Takagi-Sugeno-Kang (TSK) fuzzy systems for regression problems, a mini-batch gradient descent with regularization, DropRule, and AdaBound (MBGD-RDA) algorit…
BoostTree and BoostForest for Ensemble Learning
Changming Zhao, Dongrui Wu, Jian Huang +4
Bootstrap aggregating (Bagging) and boosting are two popular ensemble learning approaches, which combine multiple base learners to generate a composite model for more accurate and…
Multi-View Broad Learning System for Primate Oculomotor Decision Decoding
Zhenhua Shi, Xiaomo Chen, Changming Zhao +3
Multi-view learning improves the learning performance by utilizing multi-view data: data collected from multiple sources, or feature sets extracted from the same data source. This…