← Within-Session Motor Imagery (all classes)

Papers with Code · CC BY-SA 4.0

BNCI2014-001 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) 73.50212961111112 CO2 Emission (g) 1.7743017888888888 Accuracy 77.88163016666667	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	training time (s) 45.877247277777776 CO2 Emission (g) 0.394738715 Accuracy 72.47227177777778	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + EL	training time (s) 13.852831627777778 CO2 Emission (g) 0.006551190227777778 Accuracy 72.38119294444444	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + LR	training time (s) 19.167550810555554 CO2 Emission (g) 0.004666705854444444 Accuracy 71.97351649999999	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + SVM	training time (s) 66.23056458333332 CO2 Emission (g) 0.01799459135 Accuracy 70.75586455555556	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FgMDM	training time (s) 59.714323183333335 CO2 Emission (g) 0.014329298037222223 Accuracy 70.14149394444445	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + SVM	training time (s) 147.7146591111111 CO2 Emission (g) 0.1285738541111111 Accuracy 66.88411633333334	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FBCSP + SVM	training time (s) 5.445951 CO2 Emission (g) 0.004104928794444445 Accuracy 66.52618122222222	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DLCSPauto + shLDA	training time (s) 9.741079583888888 CO2 Emission (g) 0.0028627887866666665 Accuracy 66.3070505	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + LDA	training time (s) 52.462251144444444 CO2 Emission (g) 0.010921193731666667 Accuracy 65.994152	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
MDM	training time (s) 75.09591532444445 CO2 Emission (g) 0.012491149514444445 Accuracy 61.600793277777775	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	training time (s) 21.723354222222223 CO2 Emission (g) 0.1871718811111111 Accuracy 60.46380244444445	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNeX	training time (s) 62.59321944444444 CO2 Emission (g) 0.5342137127777778 Accuracy 45.61672333333334	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGTCNet	training time (s) 33.0790875 CO2 Emission (g) 0.28639946055555554 Accuracy 41.64616544444444	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	training time (s) 18.299775611111112 CO2 Emission (g) 0.1578935777777778 Accuracy 35.54681733333334	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DeepConvNet	training time (s) 18.38852738888889 CO2 Emission (g) 0.15884736222222223 Accuracy 35.29273355555556	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1