Data Augmentation for Reliability and Fairness in Counselling Quality Classification
| dc.contributor.author | Awon, Vivek Kumar | |
| dc.contributor.author | Balloccu, Simone | |
| dc.contributor.author | Wu, Zixiu | |
| dc.contributor.author | Reiter, Ehud | |
| dc.contributor.author | Helaouie, Rim | |
| dc.contributor.author | Reforgiato Recupero, Diego | |
| dc.contributor.author | Riboni, Daniele | |
| dc.contributor.institution | University of Aberdeen.Computational Linguistics at Aberdeen | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.date.accessioned | 2023-09-29T11:35:00Z | |
| dc.date.available | 2023-09-29T11:35:00Z | |
| dc.date.issued | 2022 | |
| dc.format.extent | 581346 | |
| dc.identifier | 281576212 | |
| dc.identifier | 73eb8807-0f17-4dda-bbe4-bacc62e8b92b | |
| dc.identifier.citation | Awon, V K, Balloccu, S, Wu, Z, Reiter, E, Helaouie, R, Reforgiato Recupero, D & Riboni, D 2022, Data Augmentation for Reliability and Fairness in Counselling Quality Classification. in In Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare (SDAIH 2022). SciTePress, SDAIH 2022 , Vienna, Austria, 23/07/22. < https://github.com/hslu-abiz/sdaih22/blob/gh-pages/preprints/Data%20Augmentation%20for%20Reliability%20and%20Fairness%20in%20Counselling%20Quality%20Classification%20(slides).pdf > | en |
| dc.identifier.citation | workshop | en |
| dc.identifier.isbn | 978-989-758-629-3 | |
| dc.identifier.other | ORCID: /0000-0002-7548-9504/work/143414309 | |
| dc.identifier.uri | https://hdl.handle.net/2164/21803 | |
| dc.identifier.url | http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=159833 | en |
| dc.identifier.url | https://github.com/hslu-abiz/sdaih22/blob/gh-pages/preprints/Data%20Augmentation%20for%20Reliability%20and%20Fairness%20in%20Counselling%20Quality%20Classification%20(slides).pdf | en |
| dc.language.iso | eng | |
| dc.publisher | SciTePress | |
| dc.relation.ispartof | In Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare (SDAIH 2022) | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Data Augmentation for Reliability and Fairness in Counselling Quality Classification | en |
| dc.type | Conference item | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Kumar_etal_Data_Augmentation_For_VoR.pdf
- Size:
- 567.72 KB
- Format:
- Adobe Portable Document Format