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Milan Dotlić

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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32

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Scholarly Papers (2)

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1.

Exploring uncertainties across the modelling chain in machine-learning-based streamflow forecasting

Number of pages: 24 Posted: 09 May 2026 Last Revised: 26 May 2026
Luka Vinokić, Milan Dotlić, Ana Dodig, Veljko Prodanovic, Slobodan Kolaković and Milan Stojkovic
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Belgrade, University of New South Wales (UNSW) - School of Civil and Environmental Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 18 (1,491,251)

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uncertainty quantification, ensemble forecasting, river flow, Deep Learning, numerical weather prediction, hyperparameter optimization

2.

Improved Spatio-Temporal Streamflow Forecasting with Temporal Encoder Enhanced Graph Transformer Network

Number of pages: 44 Posted: 15 Apr 2026
Ana Dodig, Milan Stojkovic, Milan Dotlić, Luka Vinokić, Zoran Kapelan and Veljko Prodanovic
University of Belgrade, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and University of New South Wales (UNSW) - School of Civil and Environmental Engineering
Downloads 14 (1,518,554)

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Deep learning, Temporal Convolutional Network, Heterogeneous Graph, Streamflow prediction, Quantile loss