Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/5581Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nanda, Akshit | - |
| dc.date.accessioned | 2024-04-03T13:42:37Z | - |
| dc.date.available | 2024-04-03T13:42:37Z | - |
| dc.date.issued | 2023-05 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/5581 | - |
| dc.description | embargo period | en_US |
| dc.description.abstract | Abstract unavailable | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IISER Mohali | en_US |
| dc.subject | Algorithm fairness | en_US |
| dc.title | Improve Algorithmic Fairness in Recidivism Prediction | en_US |
| dc.type | Thesis | en_US |
| dc.guide | singh Anand, Sarabjot | en_US |
| Appears in Collections: | MS-18 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Need To Add…Full Text_PDF | 15.36 kB | Unknown | View/Open |
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