| Data driven service orchestration for vehicular networks A Dalgkitsis, PV Mekikis, A Antonopoulos, C Verikoukis IEEE Transactions on Intelligent Transportation Systems 22 (7), 4100-4109, 2020 | 42 | 2020 |
| Traffic forecasting in cellular networks using the LSTM RNN A Dalgkitsis, M Louta, GT Karetsos Proceedings of the 22nd Pan-Hellenic conference on informatics, 28-33, 2018 | 42 | 2018 |
| Dynamic resource aware VNF placement with deep reinforcement learning for 5G networks A Dalgkitsis, PV Mekikis, A Antonopoulos, G Kormentzas, C Verikoukis GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 23 | 2020 |
| SCHE2MA: Scalable, energy-aware, multidomain orchestration for beyond-5G URLLC services A Dalgkitsis, LA Garrido, F Rezazadeh, H Chergui, K Ramantas, ... IEEE Transactions on Intelligent Transportation Systems 24 (7), 7653-7663, 2022 | 14 | 2022 |
| Context-aware traffic prediction: Loss function formulation for predicting traffic in 5g networks LA Garrido, PV Mekikis, A Dalgkitsis, C Verikoukis ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 14 | 2021 |
| Schema: Service chain elastic management with distributed reinforcement learning A Dalgkitsis, LA Garrido, PV Mekikis, K Ramantas, L Alonso, C Verikoukis 2021 IEEE Global Communications Conference (GLOBECOM), 01-06, 2021 | 11 | 2021 |
| Safeschema: Multi-domain orchestration of slices based on saferl for b5g networks A Dalgkitsis, A Chawla, AM Bosneag, C Verikoukis GLOBECOM 2022-2022 IEEE Global Communications Conference, 3435-3440, 2022 | 4 | 2022 |
| Machine learning for network slicing in future mobile networks: design and implementation LA Garrido, A Dalgkitsis, K Ramantas, C Verikoukis 2021 IEEE International Mediterranean Conference on Communications and …, 2021 | 3 | 2021 |
| Graph-based Interpretable Anomaly Detection Framework for Network Slice Management in Beyond 5G Networks A Chawla, AM Bosneag, A Dalgkitsis NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-6, 2023 | 2 | 2023 |
| Resource Demand Prediction for Network Slices in 5G using ML Enhanced with Network Models LA Garrido, A Dalgkitsis, K Ramantas, A Ksentini, C Verikoukis IEEE Transactions on Vehicular Technology, 2024 | | 2024 |
| NetROS-5G: Enhancing Personalization through 5G Network Slicing and Edge Computing in Human-Robot Interactions A Dalgkitsis, C Verikoukis arXiv preprint arXiv:2312.06475, 2023 | | 2023 |
| An Experimental Platform of a Beyond-5G Network with Machine Learning Integration LA Garrido, A Dalgkitsis, G Famitafreshi, A Siokis, K Ramantas, ... GLOBECOM 2023-2023 IEEE Global Communications Conference, 62-67, 2023 | | 2023 |
| SCHEMA III: Dynamic & Scalable VNE Framework Based on Multi-Agent RL for 5G/6G Networks A Dalgkitsis, LA Garrido, K Ramantas, JS Vardakas, G Kormetzas, ... GLOBECOM 2023-2023 IEEE Global Communications Conference, 4351-4356, 2023 | | 2023 |
| Zero-touch service orchestration in 5G and beyond mobile networks A Dalgkitsis Universitat Politècnica de Catalunya, 2023 | | 2023 |
| Admission Control with Resource Efficiency Using Reinforcement Learning in Beyond-5G Networks LA Garrido, K Ramantas, A Dalgkitsis, A Ksentini, C Verikoukis 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile …, 2023 | | 2023 |
| Design & implementation of a long short-term memory recurrent neural network for traffic prediction in cellular A Dalgkitsis Dalgkitsis Anestis, 2018 | | 2018 |
| Graph-based Framework for B5G Network Slice KPI Prediction with Interpretable Anomaly Detection A Chawla, AM Bosneag, A Dalgkitsis | | |
Christos VerikoukisISI/ATHENA and Univ. of Patras在 upatras.gr 的电子邮件经过验证
