← Within-Session ERP
Papers with Code · CC BY-SA 4.0

Sosulski2019 MOABB

아카이브 평가 9건 · 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
EEGITNet
AUC-ROC
88.82306907692308
training time (s)
254.26117153846155
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
XDAWNCov + TS + SVM
AUC-ROC
87.28411109999999
training time (s)
4.33317254
CO2 Emission (g)
0.027893668675
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNet-8,2
AUC-ROC
87.13865323076924
training time (s)
169.22427923076924
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNeX
AUC-ROC
86.17639538461539
training time (s)
292.10557615384613
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
XDAWNCov + MDM
AUC-ROC
86.07416710000001
training time (s)
2.812111245
CO2 Emission (g)
0.013847520075
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
ShallowConvNet
AUC-ROC
78.35273161538461
training time (s)
215.27583423076925
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
ERPCov(svd_n=4) + MDM
AUC-ROC
70.632222375
training time (s)
1.6276701575
CO2 Emission (g)
0.015362666562499998
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
ERPCov + MDM
AUC-ROC
68.16548655
training time (s)
12.6986916875
CO2 Emission (g)
0.062550748675
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
XDAWN + LDA
AUC-ROC
67.48655605
training time (s)
7.327161445
CO2 Emission (g)
0.0360850438
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1