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  • Korea University Brain Lab
  • Seoul
  • 18:41 (UTC -12:00)

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dlcjfgmlnasa/README.md
  • 👋 Hi, I’m @dlcjfgmlnasa (Choel-Hui Lee)
  • 👀 I’m interested in AI for EEG‐based BCI and Applications
  • 🌱 I’m currently learning brain engineering and artificial intelligence (🧠 + 🤖)
  • 📫 How to reach me : dlcjfgmlnasa28@korea.ac.kr

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  1. NeuroNet NeuroNet Public

    NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG

    Python 36 3

  2. NeuroXAI NeuroXAI Public

    [ESWA] NeuroXAI: Adaptive, Robust, Explainable Surrogate Framework for Determination of Channel Importance in EEG Application

    5 1

  3. SynthSleepNet SynthSleepNet Public

    A Foundational Model for Sleep Analysis via Multimodal Self-Supervised Learning Framework

    2

  4. Barlow_Twins_EEG Barlow_Twins_EEG Public

    [IEEE Access] A Novel Negative-sample-free Contrastive Self-Supervised Learning for EEG-Based Motor Imagery Classification

    Python 1 1

  5. SSC_Zoo SSC_Zoo Public

    Collection of deep learning-based sleep stage classification models

    2