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Péter Lehotay-Kéry
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2020 – today
- 2024
- [c6]Barnabás Holicza, Péter Lehotay-Kéry, Attila Kiss:
Advancing in Protein Function Prediction: Leveraging Small Data Techniques in Convolutional and Graph Convolutional Networks. SISY 2024: 405-410 - 2023
- [c5]Péter Lehotay-Kéry, Gabriella Kicska, Attila Kiss:
Genome classification with deep learning using heuristic algorithms for hyper-parameter optimization. INISTA 2023: 1-6 - 2022
- [j6]Péter Marjai, Péter Lehotay-Kéry, Attila Kiss:
A Heuristic Approach Using Template Miners for Error Prediction in Telecommunication Networks. IEEE Access 10: 118953-118964 (2022) - 2021
- [j5]Péter Lehotay-Kéry, Tamás Tarczali, Attila Kiss:
P System-Based Clustering Methods Using NoSQL Databases. Comput. 9(10): 102 (2021) - [j4]Péter Marjai, Péter Lehotay-Kéry, Attila Kiss:
The Use of Template Miners and Encryption in Log Message Compression. Comput. 10(7): 83 (2021) - [j3]Péter Marjai, Péter Lehotay-Kéry, Attila Kiss:
Document similarity for error prediction. J. Inf. Telecommun. 5(4): 407-420 (2021) - [j2]Márton Gyula Hudáky, Péter Lehotay-Kéry, Attila Kiss:
A Novel Methodology for Measuring the Abstraction Capabilities of Image Recognition Algorithms. J. Imaging 7(8): 152 (2021) - 2020
- [j1]Péter Lehotay-Kéry, Attila Kiss:
Process, Analyze and Visualize Telecommunication Network Configuration Data in Graph Database. Vietnam. J. Comput. Sci. 7(1): 65-76 (2020) - [c4]Attila Péter Boros, Péter Lehotay-Kéry, Attila Kiss:
A Comparative Evaluation of Big Data Frameworks for Log Processing. ICAI 2020: 57-64 - [c3]Tamás Tarczali, Péter Lehotay-Kéry, Attila Kiss:
Membrane Clustering Using the PostgreSQL Database Management System. IntelliSys (2) 2020: 377-388
2010 – 2019
- 2019
- [c2]Péter Lehotay-Kéry, Attila Kiss:
GenPress: A Novel Dictionary Based Method to Compress DNA Data of Various Species. ACIIDS (2) 2019: 385-394 - 2018
- [c1]Péter Lehotay-Kéry, Attila Kiss:
Human Genome Data Protection Using PostgreSQL DBMS. HCI (28) 2018: 71-78
Coauthor Index
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last updated on 2024-12-02 22:32 CET by the dblp team
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