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BNCI2015-001 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
ACM + TS + SVM
AUC-ROC
92.30178571428571
training time (s)
16.371186375
CO2 Emission (g)
0.38974278
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
FBCSP + SVM
AUC-ROC
91.56785714285715
training time (s)
4.884339850000001
CO2 Emission (g)
0.9452996678571429
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
ShallowConvNet
AUC-ROC
91.40714285714286
training time (s)
29.228367535714284
CO2 Emission (g)
0.240711847
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
TS + EL
AUC-ROC
91.19107142857142
training time (s)
3.0829317250000003
CO2 Emission (g)
0.0021765681464285713
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
TS + LR
AUC-ROC
91.09285714285714
training time (s)
3.2331909737499998
CO2 Emission (g)
0.0016561550864285714
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
TS + SVM
AUC-ROC
90.80535714285715
training time (s)
4.09123845
CO2 Emission (g)
0.002693355064285714
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNet-8,2
AUC-ROC
90.43214285714286
training time (s)
17.193978785714286
CO2 Emission (g)
0.14237826092857142
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
FgMDM
AUC-ROC
90.18214285714286
training time (s)
1.5857523525357142
CO2 Emission (g)
0.000829699048642857
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
CSP + SVM
AUC-ROC
89.19285714285714
training time (s)
11.710567267857144
CO2 Emission (g)
0.009411417503571428
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
DLCSPauto + shLDA
AUC-ROC
88.87321428571428
training time (s)
1.1508428444642858
CO2 Emission (g)
0.0005799335712857143
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
CSP + LDA
AUC-ROC
88.52321428571429
training time (s)
1.07737538725
CO2 Emission (g)
0.000595994413607143
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
DeepConvNet
AUC-ROC
88.12321428571428
training time (s)
15.592928589285714
CO2 Emission (g)
0.12839999017857143
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
MDM
AUC-ROC
86.20357142857144
training time (s)
1.3408162827142858
CO2 Emission (g)
0.0007177980582857143
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGTCNet
AUC-ROC
77.21160714285715
training time (s)
22.635748839285714
CO2 Emission (g)
0.18671340807142858
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNeX
AUC-ROC
72.33571428571429
training time (s)
41.56138553571429
CO2 Emission (g)
0.34515593464285715
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGITNet
AUC-ROC
71.94642857142857
training time (s)
19.546656482142858
CO2 Emission (g)
0.16193158389285714
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1