Biblio
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Damage Detection for Port Infrastructure by Means of Machine-Learning-Algorithms.
FIG Working Week 2020.
Fig2020.pdf (876.57 KB)
(2020). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual.
Arpogaus2021_Probabilistic_Forecasting.pdf (427.35 KB)
(2021). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual.
(2021). Short-term density forecasting of low-voltage load using Bernstein-polynomial normalizing flows.
IEEE Transactions on Smart Grid.
(2023). A technique for verifying the smoothness of subdivision schemes.
(Lucian, M.L., & Neamtu M., Ed.).Geometric Modeling and Computing: Seattle 2003.
subSchemes.pdf (110.4 KB)
(2004). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)