← Within-Session Motor Imagery (all classes)

Papers with Code · CC BY-SA 4.0

Zhou2016 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) 7.277364225 CO2 Emission (g) 0.1941063975 Accuracy 85.85246441666668	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	training time (s) 24.664789916666667 CO2 Emission (g) 0.21728041750000002 Accuracy 85.02304108333334	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + LR	training time (s) 14.9374373825 CO2 Emission (g) 0.004125581083333333 Accuracy 84.87930308333334	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + EL	training time (s) 75.6071288 CO2 Emission (g) 0.025638485455833332 Accuracy 84.53929741666667	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TS + SVM	training time (s) 39.13084056666667 CO2 Emission (g) 0.013120034294166666 Accuracy 83.65528725	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	training time (s) 18.622367166666667 CO2 Emission (g) 0.16457950333333335 Accuracy 83.33782725	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + SVM	training time (s) 129.06390283333334 CO2 Emission (g) 0.04421750124999999 Accuracy 83.08474258333334	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FgMDM	training time (s) 71.767263065 CO2 Emission (g) 0.010749338934166667 Accuracy 83.07198441666667	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CSP + LDA	training time (s) 46.6342523525 CO2 Emission (g) 0.008406058218333333 Accuracy 82.9630775	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DLCSPauto + shLDA	training time (s) 8.307476150833333 CO2 Emission (g) 0.0014094379383333333 Accuracy 82.06140125	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
FBCSP + SVM	training time (s) 1.8146779000000002 CO2 Emission (g) 0.00143389045 Accuracy 81.98970291666666	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
MDM	training time (s) 8.044291825 CO2 Emission (g) 0.0013000749791666668 Accuracy 76.04754891666667	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNeX	training time (s) 34.04211566666667 CO2 Emission (g) 0.29802479833333334 Accuracy 56.41506	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
DeepConvNet	training time (s) 13.242306708333333 CO2 Emission (g) 0.11693505166666666 Accuracy 55.691373	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	training time (s) 19.01079075 CO2 Emission (g) 0.16801267050000002 Accuracy 50.67784558333334	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGTCNet	training time (s) 14.080227958333333 CO2 Emission (g) 0.12480563316666667 Accuracy 37.193690833333335	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1