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Papers with Code · CC BY-SA 4.0

EPFLP300 MOABB

아카이브 평가 9건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
EEGNeX	AUC-ROC 84.68838325 training time (s) 35.690736875	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
XDAWNCov + TS + SVM	AUC-ROC 84.29081139285714 training time (s) 3.1239111678571425 CO2 Emission (g) 0.03015609335714286	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	AUC-ROC 84.0994343125 training time (s) 28.6127446875	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
XDAWNCov + MDM	AUC-ROC 83.19801607142858 training time (s) 0.7105525185714285 CO2 Emission (g) 0.006680508521428571	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	AUC-ROC 80.3845744375 training time (s) 15.535605484375	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	AUC-ROC 75.556908 training time (s) 15.697078703125	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ERPCov + MDM	AUC-ROC 71.973831125 training time (s) 6.942208496875 CO2 Emission (g) 0.03419226534375	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ERPCov(svd_n=4) + MDM	AUC-ROC 71.444304125 training time (s) 1.2007145884375 CO2 Emission (g) 0.011323257109375	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
XDAWN + LDA	AUC-ROC 62.982488281250006 training time (s) 3.6105500875 CO2 Emission (g) 0.018060430625	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1