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Gergely Dobreff

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2020 – today

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2024
[c7]
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Gergely Dobreff, Dániel Frey, Attila Báder, Alija Pasic:
Empowering ISPs with Cloud Gaming User Experience Modeling: A NVIDIA GeForce NOW Use-Case. ICIN 2024: 202-209
2023
[c6]
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Gergely Dobreff, Márk Szalay, Marton Molnar, László Varga, Bence Ladóczki, Attila Báder, Alija Pasic:
Predicting QoE for Delay-critical services in Mobile Networks: A video conferencing case study. IWSSIP 2023: 1-5
[c5]
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Gergely Dobreff, Márk Szalay, Bence Ladóczki, Marton Molnar, László Varga, Attila Báder, Alija Pasic:
Data Collection Framework for End-to-End Radio and Transport Network Quality Monitoring. QoMEX 2023: 127-130
2022
[j2]
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Gergely Dobreff, Marton Molnar, László Toka:
Optimizing and dimensioning a data intensive cloud application for soccer player tracking. Int. J. Comput. Sci. Sport 21(1): 30-48 (2022)
2021
[j1]
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László Toka, Gergely Dobreff, Balázs Fodor, Balázs Sonkoly:
Machine Learning-Based Scaling Management for Kubernetes Edge Clusters. IEEE Trans. Netw. Serv. Manag. 18(1): 958-972 (2021)
[c4]
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László Toka, Gergely Dobreff, Dávid Haja, Mark Szalay:
Predicting cloud-native application failures based on monitoring data of cloud infrastructure. IM 2021: 842-847
2020
[c3]
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László Toka, Gergely Dobreff, Balázs Fodor, Balázs Sonkoly:
Adaptive AI-based auto-scaling for Kubernetes. CCGRID 2020: 599-608
[c2]
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  - conf/pkdd/CsanalosiDPMT20
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Gabor Csanalosi, Gergely Dobreff, Alija Pasic, Marton Molnar, László Toka:
Low-Cost Optical Tracking of Soccer Players. MLSA@PKDD/ECML 2020: 28-39
[c1]
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Gergely Dobreff, Péter Revisnyei, Gábor Schuth, György Szigeti, László Toka, Alija Pasic:
Physical Performance Optimization in Football. MLSA@PKDD/ECML 2020: 51-61

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