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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Within Session Erp On Huebner2018 Moabb

평가 지표

AUC-ROC

training time (s)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	AUC-ROC	training time (s)	Paper Title	Repository
EEGNet-8,2	98.17509305555555	78.75188250000001	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ShallowConvNet	89.71045811111111	1587.3318289166666	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGITNet	87.6017086111111	2489.9952416666665	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
XDAWN + LDA	97.53628586111111	32.70688272222222	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
XDAWNCov + MDM	97.78393108333331	5.015010133333333	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
EEGNeX	76.54384258333333	4893.720471111111	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
XDAWNCov + TS + SVM	98.46594386111111	9.940868125	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ERPCov(svd_n=4) + MDM	96.608676	3.9697683444444447	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-
ERPCov + MDM	95.14819502777779	31.349976444444444	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark	-

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Within Session Erp On Huebner2018 Moabb | SOTA | HyperAI초신경