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

Lee2019-SSVEP 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
TRCA
Accuracy
97.77777777777777
training time (s)
35.42286275
CO2 Emission (g)
0.25070370964814814
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNeX
Accuracy
93.80555555555556
training time (s)
191.3021131111111
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
CCA
Accuracy
90.97222222222221
training time (s)
1.415124501851852
CO2 Emission (g)
0.010103892560185186
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
SSVEP_TS + LR
Accuracy
89.44444444444444
training time (s)
15.61881037037037
CO2 Emission (g)
0.11153871532407408
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
SSVEP_TS + SVM
Accuracy
88.58333333333334
training time (s)
14.65914484722222
CO2 Emission (g)
0.10468667306481481
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGITNet
Accuracy
86.8425925925926
training time (s)
23.24565614351852
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
SSVEP_MDM
Accuracy
74.81818181818181
training time (s)
15.961555350649352
CO2 Emission (g)
0.11398800675324675
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
ShallowConvNet
Accuracy
69.3611111111111
training time (s)
33.26947674074074
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNet-8,2
Accuracy
64.42592592592592
training time (s)
13.879997119444445
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1