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  • Korea University Brain Lab
  • Seoul
  • 04:22 (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 : [email protected]

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  1. NeuroNet NeuroNet Public

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

    Python 71 5

  2. NeuroXAI NeuroXAI Public

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

    Python 36 2

  3. SynthSleepNet SynthSleepNet Public

    [IEEE TCYB] Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework

    Python 34 6

  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 11 1

  5. PhysioME PhysioME Public

    [Arxiv] PhysioME: A Robust Self-Supervised Multimodal Framework for Missing Physiological Modalities

    Python 2

  6. RL-BioAug RL-BioAug Public

    [Arxiv] RL-BioAug: Label-Efficient Reinforcement Learning for Self-Supervised EEG Representation Learning

    Python 2