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BNCI2015-004 MOABB

아카이브 평가 16건 · 마지막 적재/변경

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
모델원본 지표·값논문구현
TS + SVM
AUC-ROC
62.55243744444444
training time (s)
3.981446488888889
CO2 Emission (g)
0.0030399768388888887
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
ACM + TS + SVM
AUC-ROC
62.00432277777777
training time (s)
38.20503083333333
CO2 Emission (g)
0.9881697544444444
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
TS + LR
AUC-ROC
61.008716111111106
training time (s)
2.3641572122222225
CO2 Emission (g)
0.0014654134566666668
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
TS + EL
AUC-ROC
58.70323127777778
training time (s)
4.107975877777778
CO2 Emission (g)
0.003150417694444444
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
FgMDM
AUC-ROC
58.31313783333333
training time (s)
4.208450687777778
CO2 Emission (g)
0.00262010596
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
ShallowConvNet
AUC-ROC
57.22930833333333
training time (s)
19.448256999999998
CO2 Emission (g)
0.17052666777777778
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
DeepConvNet
AUC-ROC
57.07518416666667
training time (s)
15.772786944444444
CO2 Emission (g)
0.1387313113888889
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNet-8,2
AUC-ROC
54.19855455555555
training time (s)
13.1632145
CO2 Emission (g)
0.11595792811111111
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
CSP + LDA
AUC-ROC
54.02069177777777
training time (s)
2.2638508043333334
CO2 Emission (g)
0.0014029495131111112
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
DLCSPauto + shLDA
AUC-ROC
53.02189611111111
training time (s)
3.5652031144444445
CO2 Emission (g)
0.0022248175055555553
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNeX
AUC-ROC
53.01977022222223
training time (s)
31.471043611111114
CO2 Emission (g)
0.2742768266666667
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
FBCSP + SVM
AUC-ROC
52.50602344444445
training time (s)
0.8984944177777778
CO2 Emission (g)
0.16502183722222222
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
CSP + SVM
AUC-ROC
52.0801445
training time (s)
7.718107805555555
CO2 Emission (g)
0.0062806895666666675
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGITNet
AUC-ROC
51.408021500000004
training time (s)
16.165079277777778
CO2 Emission (g)
0.14264759755555556
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGTCNet
AUC-ROC
51.220592611111115
training time (s)
16.36140288888889
CO2 Emission (g)
0.1444858745
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
MDM
AUC-ROC
48.451672277777774
training time (s)
1.3395202661111112
CO2 Emission (g)
0.0008106952038888889
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1