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Linas Petkevicius

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2020 – today

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2024
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Dalia Grendaite, Linas Petkevicius:
Identification of Algal Blooms in Lakes in the Baltic States Using Sentinel-2 Data and Artificial Neural Networks. IEEE Access 12: 27973-27988 (2024)
2023
[j2]
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Paulius Sasnauskas, Linas Petkevicius:
Symbolic Neural Architecture Search for Differential Equations. IEEE Access 11: 141232-141240 (2023)
2021
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Povilas Daniusis, Shubham Juneja, Lukas Valatka, Linas Petkevicius:
Topological navigation graph framework. Auton. Robots 45(5): 633-646 (2021)
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Linas Petkevicius, Simonas Saltenis, Alminas Civilis, Kristian Torp:
Probabilistic Deep Learning for Electric-Vehicle Energy-Use Prediction. SSTD 2021: 85-95

2010 – 2019

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2019
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Linas Petkevicius, Romas Baronas:
Modeling And Simulation Of Porous Multi Layer Microbioreactors. ECMS 2019: 190-196
[c1]
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Jonas Brusokas, Linas Petkevicius:
Numerical analysis of SLSSIM similarity on medical X-ray image domain. IVUS 2019: 91-97
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  - journals/corr/abs-1910-06658
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Povilas Daniusis, Shubham Juneja, Lukas Valatka, Linas Petkevicius:
Topological Navigation Graph. CoRR abs/1910.06658 (2019)

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