Unsupervised Anomaly Detection of Healthcare Providers Using Generative Adversarial Networks
- DOI
- 10.1007/978-3-030-44999-5_35
- Published
- 2020
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-44999-5_35,
title = {Unsupervised Anomaly Detection of Healthcare Providers Using Generative Adversarial Networks},
author = {Krishnan Naidoo and Vukosi Marivate},
year = {2020},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-44999-5_35},
url = {https://doi.org/10.1007/978-3-030-44999-5_35}
}RIS
TY - JOUR TI - Unsupervised Anomaly Detection of Healthcare Providers Using Generative Adversarial Networks AU - Krishnan Naidoo AU - Vukosi Marivate PY - 2020 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-030-44999-5_35 UR - https://doi.org/10.1007/978-3-030-44999-5_35 ER -
APA
Naidoo, K., & Marivate, V. (2020). Unsupervised Anomaly Detection of Healthcare Providers Using Generative Adversarial Networks. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-44999-5_35
Source records
- crossref · retrieved 2026-09-25T18:18:14.327Z