Search Results for author: Ruimin Peng

Found 2 papers, 1 papers with code

Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline

1 code implementation3 Jul 2020 Dongrui Wu, Xue Jiang, Ruimin Peng, Wanzeng Kong, Jian Huang, Zhigang Zeng

Transfer learning (TL) has been widely used in motor imagery (MI) based brain-computer interfaces (BCIs) to reduce the calibration effort for a new subject, and demonstrated promising performance.

Classification EEG +3

BoostTree and BoostForest for Ensemble Learning

no code implementations21 Mar 2020 Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang, Ruimin Peng, Zhenhua Shi, Chenfeng Guo

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 more reliable performance.

Ensemble Learning General Classification

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