Yun Bai

1. SEZEN, Cenk, BEZAK, Nejc, BAI, Yun, ŠRAJ, Mojca. Hydrological modelling of karst catchment using lumped conceptual and data mining models. Journal of hydrology. [Print ed.]. 2019, letn. 576, št. sept., str. 98-110, ilustr. ISSN 0022-1694. https://www.sciencedirect.com/science/article/pii/S0022169419305839, DOI: 10.1016/j.jhydrol.2019.06.036. [COBISS.SI-ID 8828769]

2. BAI, Yun, BEZAK, Nejc, LEBAR, Klaudija, KLUN, Mateja, ZHANG, Jin. Short-term streamflow forecasting using the feature-enhanced regression model. Water resources management. 2019, letn.33, št. nov., str. 4783-4797, ilustr. ISSN 0920-4741. https://link.springer.com/content/pdf/10.1007%2Fs11269-019-02399-1.pdf, https://repozitorij.uni-lj.si/IzpisGradiva.php?id=114378&lang=slv, Repository of the University of Ljubljana – RUL , DOI: 10.1007/s11269-019-02399-1. [COBISS.SI-ID 8969057]

3. BAI, Yun, BEZAK, Nejc, ZHENG, Chuan-Bo, LI, Chuan, LEBAR, Klaudija, ZHANG, Jin. Daily runoff forecasting using a cascade long short-term memory model that considers different variables. Water resources management. 2021, letn.35, št. 293, str. 1167-1181, ilustr. ISSN 0920-4741. https://doi.org/10.1007/s11269-020-02759-2, DOI: 10.1007/s11269-020-02759-2. [COBISS.SI-ID 54074115]
project: Bilateralni projekt Slovenija-Kitajska, J2-7322, P2-0180; funder: ARRS

4. BEZAK, Nejc, LEBAR, Klaudija, BAI, Yun, RUSJAN, Simon. Using machine learning to predict suspended sediment transport under climate change. Water resources management. 2025, 16 str., ilustr. ISSN 1573-1650. https://link.springer.com/article/10.1007/s11269-025-04108-7, Repository of the University of Ljubljana – RUL , DOI: 10.1007/s11269-025-04108-7. [COBISS.SI-ID 224042755]