zhou2016 results
Browse files
README.md
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## Benchmarking Results:
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More benchmark results will be added soon.
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These metrics were computed using the EEG-Bench codebase. MANAS-1 and REVE (reve-base) were finetuned with a flatten-MLP setup. Finetuning setups for LaBraM and NeuroGPT were used as present in the EEG-Bench codebase.
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| Dataset | REVE | MANAS-1 | LaBraM | NeuroGPT |
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| Faller2012 | **0.566 ± 0.03** | <u>0.560 ± 0.01</u> | 0.542 ± 0.01 | 0.513 |
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| PhysioNet | 0.348 ± 0.08 | <u>0.368 ± 0.01</u> | 0.284 ± 0.01 | **0.375 ± 0.00** |
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| Weibo2014 | **0.335 ± 0.04** | <u>0.321 ± 0.01</u> | 0.254 ± 0.02 | 0.303 |
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## Benchmarking Results:
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More benchmark results will be added soon.
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#### EEG-Bench Results
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These metrics were computed using the EEG-Bench codebase. MANAS-1 and REVE (reve-base) were finetuned with a flatten-MLP setup. Finetuning setups for LaBraM and NeuroGPT were used as present in the EEG-Bench codebase.
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| Dataset | REVE | MANAS-1 | LaBraM | NeuroGPT |
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|-------------------|--------------------|--------------------|--------------------|-------------------|
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| Faller2012 | **0.566 ± 0.03** | <u>0.560 ± 0.01</u> | 0.542 ± 0.01 | 0.513 |
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| PhysioNet | 0.348 ± 0.08 | <u>0.368 ± 0.01</u> | 0.284 ± 0.01 | **0.375 ± 0.00** |
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| Weibo2014 | **0.335 ± 0.04** | <u>0.321 ± 0.01</u> | 0.254 ± 0.02 | 0.303 |
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| Zhou2016 | 0.818 ± 0.16 | **0.865 ± 0.01** | 0.687 ± 0.19 | <u>0.834</u> |
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