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

Nakanishi2015 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
99.19753077777779
training time (s)
5.9494875333333335
CO2 Emission (g)
0.04248703377777777
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
CCA
Accuracy
92.53086377777778
training time (s)
0.9963089366666666
CO2 Emission (g)
0.007113911222222223
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
SSVEP_TS + LR
Accuracy
87.22222211111111
training time (s)
4.598894566666667
CO2 Emission (g)
0.08959895766666666
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
SSVEP_TS + SVM
Accuracy
86.29629577777777
training time (s)
4.098129833333334
CO2 Emission (g)
0.07978009122222222
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNeX
Accuracy
82.65431844444444
training time (s)
35.36092722222222
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGITNet
Accuracy
80.86419722222222
training time (s)
8.040663722222222
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
SSVEP_MDM
Accuracy
78.76543211111111
training time (s)
5.3561836
CO2 Emission (g)
0.10513940711111111
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
ShallowConvNet
Accuracy
57.469136
training time (s)
6.811167988888889
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1
EEGNet-8,2
Accuracy
44.135803
training time (s)
4.711782822222222
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
2024-04-03
코드 1