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Gergely Hajgató

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Journal Articles

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2022
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  - journals/aei/HajgatoWSTGH22
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  - https://dblp.org/rec/journals/aei/HajgatoWSTGH22
Gergely Hajgató, Richárd Wéber, Botond Szilágyi, Balázs Tóthpál, Bálint Gyires-Tóth, Csaba Hos:
PredMaX: Predictive maintenance with explainable deep convolutional autoencoders. Adv. Eng. Informatics 54: 101778 (2022)

Conference and Workshop Papers

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2024
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  - conf/ivs/HellHBB24
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Máté Hell, Gergely Hajgató, Ármin Bogár-Németh, Gergely Bári:
A LiDAR-based approach to autonomous racing with model-free reinforcement learning. IV 2024: 258-263

Informal and Other Publications

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2021
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  - journals/corr/abs-2104-13619
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Gergely Hajgató, Bálint Gyires-Tóth, György Paál:
Reconstructing nodal pressures in water distribution systems with graph neural networks. CoRR abs/2104.13619 (2021)
2020
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  - journals/corr/abs-2010-00258
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Gergely Hajgató, Bálint Gyires-Tóth, György Paál:
Predicting the flow field in a U-bend with deep neural networks. CoRR abs/2010.00258 (2020)
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  - journals/corr/abs-2010-06460
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Gergely Hajgató, György Paál, Bálint Gyires-Tóth:
Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems. CoRR abs/2010.06460 (2020)

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