Work

Towards the Design, Quality Assessment and Explainability of Synthetic Tabular Data Generation Techniques for Metabolic Syndrome Diagnosis

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI: 10.1109/bibm62325.2024.10822178

Authors: Diana Manjarrés, Begoña Ispizua, Iratxe Niño-Adan

Institution: Tecnalia

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4406271401

FWCI: 0.294

Cites: 22

Cited by: 1

Related to: 10