Asemi-Supervised Deep Learning Approach to Automate the Identification of Fetal Behavioral States in Fetal Heart Rate Tracings.
Edoardo SpairaniGiulio SteydeLuca SubitoniGiovanni MagenesMaria G. SignoriniPublished in: MeMeA (2024)
Keyphrases
- heart rate
- deep learning
- unsupervised learning
- blood pressure
- weakly supervised
- restricted boltzmann machine
- heart rate variability
- machine learning
- physiological signals
- unsupervised feature learning
- physical activity
- semi supervised
- supervised learning
- vital signs
- learning algorithm
- deep architectures
- ecg signals
- feature vectors
- object class
- mental models
- pairwise
- feature space
- decision making
- feature selection