Search Results for author:
Found 2 papers, 1 papers with code
Feature Imitating Networks Enhance The Performance, Reliability And Speed Of Deep Learning On Biomedical Image Processing Tasks
Feature-Imitating-Networks (FINs) are neural networks that are first trained to approximate closed-form statistical features (e. g. Entropy), and then embedded into other networks to enhance their performance.
Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals
In this work, we apply common PCG signal processing techniques on the gender-tagged Shiraz University Fetal Heart Sounds Database and study the applicability of previously proposed features in classifying fetal gender using both Machine Learning and Deep Learning models.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
