← Within-Session Motor Imagery (all classes)

Papers with Code · CC BY-SA 4.0

Weibo2014 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
ACM + TS + SVM	training time (s) 335.21023 CO2 Emission (g) 6.1498658200000005 Accuracy 64.3835718	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + EL	training time (s) 34.0226515 CO2 Emission (g) 0.0319534623 Accuracy 63.840714199999994	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + LR	training time (s) 2.12094548 CO2 Emission (g) 0.00205973584 Accuracy 62.762142	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + SVM	training time (s) 15.092744999999999 CO2 Emission (g) 0.014714955200000001 Accuracy 61.469286499999995	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FgMDM	training time (s) 3.4260148399999997 CO2 Emission (g) 0.00332279971 Accuracy 56.9400009	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	training time (s) 100.2113981 CO2 Emission (g) 22.743277258 Accuracy 48.9364276	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FBCSP + SVM	training time (s) 37.9020129 CO2 Emission (g) 0.030076381000000003 Accuracy 45.212857299999996	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + SVM	training time (s) 677.4126650000001 CO2 Emission (g) 0.5357583659999999 Accuracy 44.0792858	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + LDA	training time (s) 4.84518394 CO2 Emission (g) 0.0037056161800000003 Accuracy 39.4492859	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DLCSPauto + shLDA	training time (s) 4.82886682 CO2 Emission (g) 0.00369364373 Accuracy 38.8442857	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	training time (s) 34.2388724 CO2 Emission (g) 10.5262206565 Accuracy 35.3514286	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
MDM	training time (s) 2.01196917 CO2 Emission (g) 0.00188059405 Accuracy 33.4078569	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNeX	training time (s) 126.255782 CO2 Emission (g) 35.190156514 Accuracy 30.215714	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	training time (s) 43.4866037 CO2 Emission (g) 13.394392257000002 Accuracy 25.7807146	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DeepConvNet	training time (s) 73.0829022 CO2 Emission (g) 30.440530905000003 Accuracy 24.1678569	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGTCNet	training time (s) 47.42458 CO2 Emission (g) 15.281205185 Accuracy 17.9464288	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1