| Machine learning-based scaling management for kubernetes edge clusters L Toka, G Dobreff, B Fodor, B Sonkoly IEEE Transactions on Network and Service Management 18 (1), 958-972, 2021 | 138 | 2021 |
| Adaptive AI-based auto-scaling for Kubernetes L Toka, G Dobreff, B Fodor, B Sonkoly 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | 63 | 2020 |
| The formation game in football G Dobreff, A Pašic, B Sonkoly, L Toka Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2019 workshop, 2019 | 13 | 2019 |
| Predicting cloud-native application failures based on monitoring data of cloud infrastructure L Toka, G Dobreff, D Haja, M Szalay 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2021 | 12 | 2021 |
| Factors influencing creatine kinase response in youth national team soccer players G Schuth, G Szigeti, G Dobreff, P Revisnyei, A Pasic, L Toka, T Gabbett, ... Sports Health 13 (4), 332-340, 2021 | 10 | 2021 |
| Individual-specific relationship between external training and match load and creatine-kinase response in youth national team soccer players G Schuth, G Szigeti, G Dobreff, A Pasic, T Gabbett, A Szilas, G Pavlik Sports Health 15 (5), 700-709, 2023 | 4 | 2023 |
| Data collection framework for end-to-end radio and transport network quality monitoring G Dobreff, M Szalay, B Ladóczki, M Molnár, L Varga, A Báder, A Pašić 2023 15th International Conference on Quality of Multimedia Experience …, 2023 | 4 | 2023 |
| Optimizing and dimensioning a data intensive cloud application for soccer player tracking G Dobreff, M Molnar, L Toka International Journal of Computer Science in Sport 21 (1), 30-48, 2022 | 4 | 2022 |
| Low-cost optical tracking of soccer players G Csanalosi, G Dobreff, A Pasic, M Molnar, L Toka | 4 | 2020 |
| Physical performance optimization in football G Dobreff, P Revisnyei, G Schuth, G Szigeti, L Toka, A Pašic | 4 | 2020 |
| Empowering ISPs with Cloud Gaming User Experience Modeling: A NVIDIA GeForce NOW Use-Case G Dobreff, D Frey, A Báder, A Pašić 2024 27th Conference on Innovation in Clouds, Internet and Networks (ICIN …, 2024 | 3 | 2024 |
| Predicting QoE for Delay-critical services in Mobile Networks: A video conferencing case study G Dobreff, M Szalay, M Molnár, L Varga, B Ladóczki, A Báder, A Pašić 2023 30th International Conference on Systems, Signals and Image Processing …, 2023 | 3 | 2023 |
| A QoE and Availability-Aware Framework for Network Slice Placement and Resource Allocation G Dobreff, A Báder, A Pašić IEEE Access, 2024 | | 2024 |
| Football Movement Profile–Based Creatine-Kinase Prediction Performs Similarly to Global Positioning System–Derived Machine Learning Models in National-Team Soccer Players G Schuth, G Szigeti, G Dobreff, A Pašić, T Gabbett, A Szilas, G Pavlik International Journal of Sports Physiology and Performance 19 (9), 874-881, 2024 | | 2024 |
| Service quality-based network slicing optimization L Varga, G Dobreff, A Pašić Budapesti Műszaki és Gazdaságtudományi Egyetem, 2024 | | 2024 |
Laszlo TokaBudapest University of Technology and EconomicsE-mail megerősítve itt: tmit.bme.hu
