GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sull, Sanghoon | - |
dc.date.accessioned | 2021-08-27T11:54:29Z | - |
dc.date.available | 2021-08-27T11:54:29Z | - |
dc.date.created | 2021-05-27 | - |
dc.date.issued | 2020-06-16 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/6671 | - |
dc.publisher | IEEE Computer Society | - |
dc.title | GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data | - |
dc.title.alternative | GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data | - |
dc.type | Conference | - |
dc.contributor.affiliatedAuthor | Sull, Sanghoon | - |
dc.identifier.bibliographicCitation | The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | - |
dc.relation.isPartOf | The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | - |
dc.relation.isPartOf | The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | - |
dc.citation.title | The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | - |
dc.citation.conferencePlace | US | - |
dc.citation.conferenceDate | 2020-06-16 | - |
dc.type.rims | CONF | - |
dc.description.journalClass | 1 | - |
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