Work

Addressing Small Sample Size and Improving Interpretability in Biomedical Applications with Adaptive Complexity Deep Neural Networks

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Healthcare Informatics (ICHI)

DOI: 10.1109/ichi64645.2025.00012

Authors: William Baskett, Chi-Ren Shyu

Institution: University of Missouri

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Simons Foundation, National Institutes of Health

OpenAlex ID: W4412568466

FWCI: 2.951

Cites: 31

Cited by: 3

Related to: 10