← Within-Session Motor Imagery (all classes)

Papers with Code · CC BY-SA 4.0

Schirrmeister2017 MOABB

아카이브 평가 16건 · 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
TS + EL	training time (s) 86.77469099999999 CO2 Emission (g) 0.16102813214285713 Accuracy 85.52905985714287	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ACM + TS + SVM	training time (s) 707.9741635714284 CO2 Emission (g) 20.32321697142857 Accuracy 85.39824135714285	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	training time (s) 1877.5478428571428 CO2 Emission (g) 2.612351642857143 Accuracy 85.13492092857142	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + LR	training time (s) 4.9577661214285715 CO2 Emission (g) 0.0075348416357142855 Accuracy 84.59829828571428	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + SVM	training time (s) 23.104729499999998 CO2 Emission (g) 0.04492253178571428 Accuracy 84.41288664285715	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FgMDM	training time (s) 61.4208665 CO2 Emission (g) 0.09652152407142857 Accuracy 82.97360807142857	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	training time (s) 214.51948785714285 CO2 Emission (g) 0.9416739878571428 Accuracy 76.98508007142857	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FBCSP + SVM	training time (s) 181.90692642857144 CO2 Emission (g) 0.1834183317857143 Accuracy 75.93963142857143	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + SVM	training time (s) 531.3518721428571 CO2 Emission (g) 0.8806029271428572 Accuracy 75.88554942857144	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + LDA	training time (s) 3.027175342857143 CO2 Emission (g) 0.004620156871428571 Accuracy 72.97147700000001	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DLCSPauto + shLDA	training time (s) 2.9170686285714287 CO2 Emission (g) 0.004526741521428572 Accuracy 72.8150212857143	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGTCNet	training time (s) 471.15728 CO2 Emission (g) 2.0679361071428572 Accuracy 71.11233471428572	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	training time (s) 336.80249142857144 CO2 Emission (g) 1.478115302857143 Accuracy 70.44199514285714	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNeX	training time (s) 1075.1257621428572 CO2 Emission (g) 4.719508371428572 Accuracy 67.55850299999999	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DeepConvNet	training time (s) 405.86182285714284 CO2 Emission (g) 1.7812169435714285 Accuracy 56.77987328571429	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
MDM	training time (s) 4.819618021428572 CO2 Emission (g) 0.007416166485714286 Accuracy 52.03144735714286	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1