← Within-Session SSVEP

Papers with Code · CC BY-SA 4.0

MAMEM3 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
SSVEP_TS + LR	Accuracy 42.1 training time (s) 1.46499837 CO2 Emission (g) 0.026997567	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
SSVEP_TS + SVM	Accuracy 40.199999999999996 training time (s) 1.36490621 CO2 Emission (g) 0.0252171588	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
SSVEP_MDM	Accuracy 34.4 training time (s) 1.56297961 CO2 Emission (g) 0.028922213000000002	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	Accuracy 33.1 training time (s) 5.90452088	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	Accuracy 27.500000000000004 training time (s) 5.74253287	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TRCA	Accuracy 27.1 training time (s) 4.44355459 CO2 Emission (g) 0.0317322511	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	Accuracy 25.0 training time (s) 6.796000050000001	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNeX	Accuracy 24.8 training time (s) 22.5295867	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CCA	Accuracy 22.800000000000004 training time (s) 0.183953595 CO2 Emission (g) 0.00131271061	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1