← Within-Session Motor Imagery (all classes)

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AlexandreMotorImagery 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) 2.749322665 CO2 Emission (g) 0.0013501269012499999 Accuracy 69.79166675	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ACM + TS + SVM	training time (s) 7.6877846125 CO2 Emission (g) 0.18950154875 Accuracy 69.5833345	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + LR	training time (s) 1.85145594625 CO2 Emission (g) 0.000786763229625 Accuracy 69.16666637499999	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + SVM	training time (s) 3.3987408749999997 CO2 Emission (g) 0.00173950673625 Accuracy 67.916665875	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FgMDM	training time (s) 0.743955544625 CO2 Emission (g) 0.00038144418074999997 Accuracy 65.62500112500001	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FBCSP + SVM	training time (s) 19.6318726375 CO2 Emission (g) 0.005079346375 Accuracy 65.0	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + SVM	training time (s) 44.612727875000004 CO2 Emission (g) 0.03446902725 Accuracy 62.91666625	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + LDA	training time (s) 1.0782176175 CO2 Emission (g) 0.0005938407575 Accuracy 61.041666500000005	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DLCSPauto + shLDA	training time (s) 0.6206318012500001 CO2 Emission (g) 0.0003630056075 Accuracy 60.62500012500001	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
MDM	training time (s) 1.6782885705 CO2 Emission (g) 0.000925614838125 Accuracy 60.62499999999999	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	training time (s) 12.9602863125 CO2 Emission (g) 3.21283768775 Accuracy 50.00000075	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	training time (s) 9.24752825 CO2 Emission (g) 2.673163054 Accuracy 43.958333875	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNeX	training time (s) 9.8963939375 CO2 Emission (g) 3.1961726155 Accuracy 37.708333625	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DeepConvNet	training time (s) 8.58771105 CO2 Emission (g) 1.546965218875 Accuracy 37.7083335	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	training time (s) 9.4757763125 CO2 Emission (g) 1.109086602625 Accuracy 36.041667	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGTCNet	training time (s) 9.205565762500001 CO2 Emission (g) 2.198906455875 Accuracy 34.166666875	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1