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HyperAI초신경
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플랫폼
홈
SOTA
세션 내 ERP
Within Session Erp On Braininvaders2015A
Within Session Erp On Braininvaders2015A
평가 지표
AUC-ROC
CO2 Emission (g)
training time (s)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
AUC-ROC
CO2 Emission (g)
training time (s)
Paper Title
XDAWNCov + TS + SVM
93.05381111627908
0.010436311162015504
2.1127921527131783
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWNCov + MDM
92.56596253488371
0.0024371379224806203
0.4988526374418605
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGITNet
90.70906591472868
-
19.85593708914729
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNeX
87.61770750387598
-
199.32986724031008
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
EEGNet-8,2
86.79717793023256
-
14.414908054263565
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov + MDM
80.01716807751939
0.019448981011627904
3.9502074596899224
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ERPCov(svd_n=4) + MDM
77.92098565891473
0.0052664793930232556
0.560524827751938
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
XDAWN + LDA
76.01550499224807
0.0039047394186046513
0.7962977278294574
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
ShallowConvNet
59.55947582945736
-
15.322640255813955
The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
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Within Session Erp On Braininvaders2015A | SOTA | HyperAI초신경