← Within-Session Motor Imagery (all classes)

Papers with Code · CC BY-SA 4.0

PhysionetMotorImagery 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) 25.291020102752295 CO2 Emission (g) 0.013059559739449542 Accuracy 59.934408990825695	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + LR	training time (s) 2.2208920137614676 CO2 Emission (g) 0.0010041190067889907 Accuracy 58.55441266055046	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + SVM	training time (s) 48.31867250642202 CO2 Emission (g) 0.0243752586293578 Accuracy 58.458600238532114	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ACM + TS + SVM	training time (s) 92.28611607692308 CO2 Emission (g) 2.330426302205128 Accuracy 56.68057317948718	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FgMDM	training time (s) 3.204224353211009 CO2 Emission (g) 0.002020601044036697 Accuracy 55.0438009174312	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + SVM	training time (s) 1190.5449858715597 CO2 Emission (g) 1.9742764488073394 Accuracy 48.51775490825688	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + LDA	training time (s) 8.780583234862386 CO2 Emission (g) 0.0054728938412844045 Accuracy 47.73427576146789	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DLCSPauto + shLDA	training time (s) 8.482141944036696 CO2 Emission (g) 0.005456309299082569 Accuracy 46.84880671559633	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FBCSP + SVM	training time (s) 68.7581273853211 CO2 Emission (g) 0.06618156533027524 Accuracy 45.493503000000004	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
MDM	training time (s) 6.167569839633027 CO2 Emission (g) 0.003281270780733945 Accuracy 42.96454042201835	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	training time (s) 15.891879321100918 CO2 Emission (g) 0.038677560009174314 Accuracy 41.87124210091743	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	training time (s) 10.598362683486238 CO2 Emission (g) 0.024848891426605502 Accuracy 29.03593889908257	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DeepConvNet	training time (s) 14.11812210091743 CO2 Emission (g) 0.034966375495412844 Accuracy 27.682707357798165	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNeX	training time (s) 22.783741321100916 CO2 Emission (g) 0.059308609688073395 Accuracy 26.68615756880734	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	training time (s) 13.559821752293578 CO2 Emission (g) 0.4149273854862385 Accuracy 26.154798385321104	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGTCNet	training time (s) 18.127433243119267 CO2 Emission (g) 2.7750069540733944 Accuracy 25.790262357798166	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1