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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferencePlace | 서울대학교 | - |
| dc.citation.title | 2019 대한산업공학회 추계학술대회 | - |
| dc.contributor.author | Hahn, Seok-Ju | - |
| dc.contributor.author | Lee, Junghye | - |
| dc.date.accessioned | 2024-01-31T23:35:59Z | - |
| dc.date.available | 2024-01-31T23:35:59Z | - |
| dc.date.created | 2021-01-08 | - |
| dc.date.issued | 2019-11-08 | - |
| dc.identifier.bibliographicCitation | 2019 대한산업공학회 추계학술대회 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/78885 | - |
| dc.publisher | 대한산업공학회 | - |
| dc.title | Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2019-11-08 | - |
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