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http://bura.brunel.ac.uk/handle/2438/23994Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tong, L | - |
| dc.contributor.author | Liu, Z | - |
| dc.contributor.author | Jiang, Z | - |
| dc.contributor.author | Zhou, F | - |
| dc.contributor.author | Chen, L | - |
| dc.contributor.author | Lyu, J | - |
| dc.contributor.author | Zhang, X | - |
| dc.contributor.author | Zhang, Q | - |
| dc.contributor.author | Sadka, A | - |
| dc.contributor.author | Wang, Y | - |
| dc.contributor.author | Li, L | - |
| dc.contributor.author | Zhou, H | - |
| dc.date.accessioned | 2022-01-24T11:59:08Z | - |
| dc.date.available | 2022-01-24T11:59:08Z | - |
| dc.date.issued | 2022-01-25 | - |
| dc.identifier.citation | Tong, L., Liu, Z., Jiang, Z., Zhou, F., Chen, L., Lyu, J., Zhang, X., Zhang, Q., Sadka, A., Wang, Y., Li, L. and Zhou, H. (2022) 'Cost-sensitive Boosting Pruning Trees for depression detection on Twitter', IEEE Transactions on Affective Computing, 0 (in press), pp. 1-14. doi: 10.1109/TAFFC.2022.3145634. | en_US |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23994 | - |
| dc.description.sponsorship | Royal Society-Newton Advanced Fellowship under Grant NA160342. | en_US |
| dc.format.extent | 1 - 14 (14) | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.subject | data mining | en_US |
| dc.subject | boosting ensemble learning | en_US |
| dc.subject | online depression detection | en_US |
| dc.subject | online behaviours | en_US |
| dc.title | Cost-sensitive Boosting Pruning Trees for depression detection on Twitter | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/TAFFC.2022.3145634 | - |
| dc.relation.isPartOf | IEEE Transactions on Affective Computing | - |
| pubs.publication-status | Published | - |
| pubs.volume | 0 | - |
| dc.identifier.eissn | 1949-3045 | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | 5.05 MB | Adobe PDF | View/Open |
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