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Lee2019-ERP 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
XDAWNCov + TS + SVM
AUC-ROC
98.40814827777777
training time (s)
18.539845689814815
CO2 Emission (g)
0.17517531703703704
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNet-8,2
AUC-ROC
97.85841548148149
training time (s)
109.5753095
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
XDAWNCov + MDM
AUC-ROC
97.70259957407407
training time (s)
8.865101517592594
CO2 Emission (g)
0.04369601411111111
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGITNet
AUC-ROC
96.81215804629629
training time (s)
468.54065999999995
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
XDAWN + LDA
AUC-ROC
96.45206821296297
training time (s)
28.108453657407406
CO2 Emission (g)
0.13853210805555555
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
82.47109035185186
training time (s)
9.584082125
CO2 Emission (g)
0.09060789349074073
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
ShallowConvNet
AUC-ROC
77.4085946574074
training time (s)
4598.484442222222
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
ERPCov + MDM
AUC-ROC
74.43493880555556
training time (s)
127.87080321296297
CO2 Emission (g)
0.6299353016666667
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNeX
AUC-ROC
70.27269508333333
training time (s)
6374.80394962963
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1