← Within-Session SSVEP

Papers with Code · CC BY-SA 4.0

MAMEM1 MOABB

아카이브 평가 9건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

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
모델	원본 지표·값	논문	구현
EEGNeX	Accuracy 67.1084639 training time (s) 197.02376239999998	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	Accuracy 58.0691632 training time (s) 39.6391611	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TRCA	Accuracy 54.5442871 training time (s) 250.07919099999998 CO2 Emission (g) 1.785962026	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
SSVEP_TS + LR	Accuracy 53.70517730000001 training time (s) 698.7826769999999 CO2 Emission (g) 13.59719356	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
SSVEP_TS + SVM	Accuracy 50.57987980000001 training time (s) 657.646162 CO2 Emission (g) 12.962970100000001	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	Accuracy 43.029499 training time (s) 23.1336158	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	Accuracy 36.03516260000001 training time (s) 3920.421198	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
SSVEP_MDM	Accuracy 27.3128415 training time (s) 824.9421399999999 CO2 Emission (g) 16.1321347	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CCA	Accuracy 21.7420669 training time (s) 11.47441585 CO2 Emission (g) 0.0819434059	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1