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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access Jg. 12; S. 194108 - 194121
Hauptverfasser:	Chen, Li, Liu, Yuncheng, Lin, Lizhen, Zhang, Dongpei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!