Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23994
Title: | Cost-sensitive Boosting Pruning Trees for depression detection on Twitter |
Authors: | Tong, L Liu, Z Jiang, Z Zhou, F Chen, L Lyu, J Zhang, X Zhang, Q Sadka, A Wang, Y Li, L Zhou, H |
Keywords: | data mining;boosting ensemble learning;online depression detection;online behaviours |
Issue Date: | 25-Jan-2022 |
Publisher: | IEEE |
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. |
URI: | https://bura.brunel.ac.uk/handle/2438/23994 |
DOI: | https://doi.org/10.1109/TAFFC.2022.3145634 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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