notesum.ai

Published at December 10

eess.SP

cs.AI

cs.LG

q-bio.NC

Released Date: December 10, 2024

Authors: Jiquan Wang¹, Sha Zhao¹, Zhiling Luo², Yangxuan Zhou¹, Haiteng Jiang³, Shijian Li¹, Tao Li¹, Gang Pan¹

Aff.: ¹Zhejiang University; ²Alibaba Group; ³Zhejiang University School of Medicine

	FACED, 9-class			SEED-V, 5-class
Methods	Balanced Accuracy	Cohen’s Kappa	Weighted F1	Balanced Accuracy	Cohen’s Kappa	Weighted F1
EEGNet	0.4090 $\pm$ 0.0122	0.3342 $\pm$ 0.0251	0.4124 $\pm$ 0.0141	0.2961 $\pm$ 0.0102	0.1006 $\pm$ 0.0143	0.2749 $\pm$ 0.0098
EEGConformer	0.4559 $\pm$ 0.0125	0.3858 $\pm$ 0.0186	0.4514 $\pm$ 0.0107	0.3537 $\pm$ 0.0112	0.1772 $\pm$ 0.0174	0.3487 $\pm$ 0.0136
SPaRCNet	0.4673 $\pm$ 0.0155	0.3978 $\pm$ 0.0289	0.4729 $\pm$ 0.0133	0.2949 $\pm$ 0.0078	0.1121 $\pm$ 0.0139	0.2979 $\pm$ 0.0083
ContraWR	0.4887 $\pm$ 0.0078	0.4231 $\pm$ 0.0151	0.4884 $\pm$ 0.0074	0.3546 $\pm$ 0.0105	0.1905 $\pm$ 0.0188	0.3544 $\pm$ 0.0121
CNN-Transformer	0.4697 $\pm$ 0.0132	0.4017 $\pm$ 0.0168	0.4720 $\pm$ 0.0125	0.3678 $\pm$ 0.0078	0.2072 $\pm$ 0.0183	0.3642 $\pm$ 0.0088
FFCL	0.4673 $\pm$ 0.0158	0.3987 $\pm$ 0.0383	0.4699 $\pm$ 0.0145	0.3641 $\pm$ 0.0092	0.2078 $\pm$ 0.0201	0.3645 $\pm$ 0.0132
ST-Transformer	0.4810 $\pm$ 0.0079	0.4137 $\pm$ 0.0133	0.4795 $\pm$ 0.0096	0.3052 $\pm$ 0.0072	0.1083 $\pm$ 0.0121	0.2833 $\pm$ 0.0105
BIOT	0.5118 $\pm$ 0.0118	0.4476 $\pm$ 0.0254	0.5136 $\pm$ 0.0112	0.3837 $\pm$ 0.0187	0.2261 $\pm$ 0.0262	0.3856 $\pm$ 0.0203
LaBraM-Base	0.5273 $\pm$ 0.0107	0.4698 $\pm$ 0.0188	0.5288 $\pm$ 0.0102	0.3976 $\pm$ 0.0138	0.2386 $\pm$ 0.0209	0.3974 $\pm$ 0.0111
CBraMod	0.5509 $\pm$ 0.0089	0.5041 $\pm$ 0.0122	0.5618 $\pm$ 0.0093	0.4091 $\pm$ 0.0097	0.2569 $\pm$ 0.0143	0.4101 $\pm$ 0.0108