Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data
Full metadata record
| 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 | - |
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Electrical Engineering > 2. Conference Papers
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.