← Within-Session SSVEP

Papers with Code · CC BY-SA 4.0

MAMEM2 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 39.36 training time (s) 840.129991 CO2 Emission (g) 17.0932925	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
SSVEP_TS + SVM	Accuracy 34.8 training time (s) 791.885326 CO2 Emission (g) 16.319102700000002	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNeX	Accuracy 26.32 training time (s) 180.9718512	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
ShallowConvNet	Accuracy 25.840000000000003 training time (s) 1620.974344	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGNet-8,2	Accuracy 24.56 training time (s) 26.034414199999997	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
SSVEP_MDM	Accuracy 23.12 training time (s) 1028.1009 CO2 Emission (g) 21.4845976	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
EEGITNet	Accuracy 22.72 training time (s) 34.195504299999996	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
TRCA	Accuracy 22.64 training time (s) 399.849453 CO2 Emission (g) 2.85556727	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1
CCA	Accuracy 20.64 training time (s) 14.7508205 CO2 Emission (g) 0.10534236079999999	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark 2024-04-03	코드 1