A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation

no code implementations • 21 Sep 2023 • Weining Weng, Yang Gu, Qihui Zhang, Yingying Huang, Chunyan Miao, Yiqiang Chen

Due to the abundant neurophysiological information in the electroencephalogram (EEG) signal, EEG signals integrated with deep learning methods have gained substantial traction across numerous real-world tasks.

Contrastive Learning EEG

An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development

no code implementations • 25 Mar 2022 • Jin Yang, Yingying Huang, Guangxin Jiang, Ying Chen

In the first component, we introduce a theoretical function-preserving transformation of recurrent neural networks (RNN) to the literature for capturing the hidden temporal patterns within the time-series data.

Neural Architecture Search Reinforcement Learning (RL) +2