HyperAI초신경

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

한국어

HyperAI초신경

Within Session Erp On Cattan2019 Vr Moabb

평가 지표

AUC-ROC

CO2 Emission (g)

training time (s)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	AUC-ROC	CO2 Emission (g)	training time (s)	Paper Title	Repository
XDAWNCov + TS + SVM	90.677777575	0.008065587075	0.85638401025	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet	80.03306880952381	-	13.902749985714287	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + MDM	88.529687375	0.0017226343375000002	0.18693414675	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWN + LDA	67.159201475	0.0033990314475	0.3639022155	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet	89.4212960952381	-	22.83087557142857	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov(svd_n=4) + MDM	80.674825575	0.0027964518625	0.30020958225	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX	89.3339950952381	-	23.31658614285714	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,2	86.3244051904762	-	15.87339438095238	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov + MDM	80.757379	0.0067425482250000005	0.7168895120000001	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

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