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A novel deep learning model based on convolutional neural networks for employee churn prediction. (2022). Ozcan, Tuncay ; Ozmen, Ebru Pekel.
In: Journal of Forecasting.
RePEc:wly:jforec:v:41:y:2022:i:3:p:539-550.

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  1. Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction. (2024). Liu, Zhenkun ; Niu, Xinsong ; Jiang, Ping ; Zhang, Lifang ; de Bock, Koen W ; Wang, Jianzhou.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:198:y:2024:i:c:s0040162523006303.

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  2. Deep learning on mixed frequency data. (2023). Wang, Zezhou ; Liu, Yezheng ; Xu, Qifa ; Jiang, Cuixia.
    In: Journal of Forecasting.
    RePEc:wly:jforec:v:42:y:2023:i:8:p:2099-2120.

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