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Gyula Dörgö

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2022
[j5]
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  - journals/complexity/BantayDTA22
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  - https://dblp.org/rec/journals/complexity/BantayDTA22
László Bántay, Gyula Dörgö, Ferenc Tandari, János Abonyi:
Simultaneous Process Mining of Process Events and Operator Actions for Alarm Management. Complex. 2022: 8670154:1-8670154:13 (2022)
2021
[j4]
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János Abonyi, Richard Karoly, Gyula Dörgö:
Event-Tree Based Sequence Mining Using LSTM Deep-Learning Model. Complex. 2021: 7887159:1-7887159:24 (2021)
2019
[j3]
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  - journals/cce/DorgoA19
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Gyula Dörgö, János Abonyi:
Learning and predicting operation strategies by sequence mining and deep learning. Comput. Chem. Eng. 128: 174-187 (2019)
2018
[j2]
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Gyula Dörgö, János Abonyi:
Sequence Mining Based Alarm Suppression. IEEE Access 6: 15365-15379 (2018)
[j1]
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Gyula Dörgö, Kristof Varga, János Abonyi:
Hierarchical Frequent Sequence Mining Algorithm for the Analysis of Alarm Cascades in Chemical Processes. IEEE Access 6: 50197-50216 (2018)

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