Classification of Directed Networks With Application to Neuroimaging Data

Graph-based classification techniques applied to neuroimaging data have played a pivotal role in advancing our comprehension of brain functionalities. Existing graph-based classification methods primarily focus on undirected networks. However, networks derived from neuroimaging data often exhibit a...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE access Ročník 12; s. 194108 - 194121
Hlavní autori:	Chen, Li, Liu, Yuncheng, Lin, Lizhen, Zhang, Dongpei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms bilinear logistic regression Brain Brain modeling Classification Convergence directed networks Electroencephalography Image edge detection Logistic regression Mathematical models Medical imaging Network classification Networks Neuroimaging Optimization Regularization Symmetric matrices Vectors weighted network
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!