Transfer learning to detect neonatal seizure from electroencephalography signals

This paper offers a solution to the problem of detecting neonatal seizures via a transfer learning technique that judiciously reconstructs pre-trained deep convolution neural networks (p-DCNN), including alexnet, resnet18, googlenet, densenet, and resnet50. Multichannel electroencephalography (EEG)...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Neural computing & applications 2021-09, Vol.33 (18), p.12087-12101
Hauptverfasser:	Caliskan, Abdullah, Rencuzogullari, Suleyman
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Electroencephalography Image Processing and Computer Vision Machine learning Neural networks Original Article Probability and Statistics in Computer Science Seizures Statistical analysis Training
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!