Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook (open access)

Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook

This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.
Date: October 19, 2021
Creator: Urs, Namratha; Behpour, Sahar; Georgaras, Angie & Albert, Mark
System: The UNT Digital Library
Classifying Abdominal Fat Distribution Patterns by Using Body Measurement Data (open access)

Classifying Abdominal Fat Distribution Patterns by Using Body Measurement Data

This article aims to explore new categorization that characterizes the distribution clusters of visceral and subcutaneous adipose tissues (VAT and SAT) measured by magnetic resonance imaging (MRI), to analyze the relationship between the VAT-SAT distribution patterns and the novel body shape descriptors (BSDs), and to develop a classifier to predict the fat distribution clusters using the BSDs.
Date: February 19, 2021
Creator: Sun, Jingjing; Xu, Bugao; Lee, Jane & Freeland-Graves, Jeanne H.
System: The UNT Digital Library
Predicting psoriasis using routine laboratory tests with random forest (open access)

Predicting psoriasis using routine laboratory tests with random forest

Article describes how psoriasis is a chronic inflammatory skin disease that affects approximately 125 million people worldwide. The goal of the authors' study is to derive a powerful predictive model for psoriasis disease based on only routine hospital tests.
Date: October 19, 2021
Creator: Zhou, Jing; Li, Yuzhen & Guo, Xuan
System: The UNT Digital Library