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Sure! Here's your markdown file with all the Chinese translated into English:
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# $A^2DM$: Enhancing EEG artifact removal by fusing artifact representation into the time-frequency domain
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**We recommend retraining the artifact representation module according to your specific task.**
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The data and model files are available in the `Releases` section and can be accessed directly.
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2020
### Generate Artifact Removal Dataset
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Similarly, we use the code from https://github.com/ncclabsustech/EEGdenoiseNet to generate the artifact-removed dataset for training the model (the input is EEG segments with artifacts, and the output is the artifact-removed EEG segments).

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