Work

Variational Encoder Based Synthetic Alzheimer's Data Generation for Deep Learning, XGBoost and Statistical Survival Analysis

Year: 2024

Type: conference-paper

Source: International Conference on Machine Learning and Applications

DOI: 10.1109/icmla61862.2024.00230

Authors: Henry Musto, Daniel Stamate, Daniel Stahl

Institutions: University of London, Goldsmiths University of London, University of Manchester, King's College London

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

OpenAlex ID: W4408145622

FWCI:

Cites: 29

Cited by:

Related to: 10