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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