Traffic forecasting in cellular networks using the LSTM RNN. - Anestis Dalgkitsis; Malamati D. Louta; George T. Karetsos (PCI, 2018)

Dynamic Resource Aware VNF Placement with Deep Reinforcement Learning for 5G Networks. - Anestis Dalgkitsis; Prodromos-Vasileios Mekikis; Angelos Antonopoulos 001; Georgios Kormentzas; Christos V. Verikoukis (GLOBECOM, 2020)

SCHEMA: Service Chain Elastic Management with Distributed Reinforcement Learning. - Anestis Dalgkitsis; Luis A. Garrido; Prodromos-Vasileios Mekikis; Kostas Ramantas; Luis Alonso 001; Christos V. Verikoukis (GLOBECOM, 2021)

Context-Aware Traffic Prediction: Loss Function Formulation for Predicting Traffic in 5G Networks. - Luis A. Garrido; Prodromos-Vasileios Mekikis; Anestis Dalgkitsis; Christos V. Verikoukis (ICC, 2021)

Machine Learning for Network Slicing in Future Mobile Networks: Design and Implementation. - Luis A. Garrido; Anestis Dalgkitsis; Kostas Ramantas; Christos V. Verikoukis (MeditCom, 2021)

Data Driven Service Orchestration for Vehicular Networks. - Anestis Dalgkitsis; Prodromos-Vasileios Mekikis; Angelos Antonopoulos 001; Christos V. Verikoukis (IEEE Trans. Intell. Transp. Syst., 2021)

SafeSCHEMA: Multi-domain Orchestration of Slices based on SafeRL for B5G Networks. - Anestis Dalgkitsis; Ashima Chawla; Anne-Marie Bosneag; Christos V. Verikoukis (GLOBECOM, 2022)

SCHEMA III: Dynamic & Scalable VNE Framework Based on Multi-Agent RL for 5G/6G Networks. - Anestis Dalgkitsis; Luis A. Garrido; Kostas Ramantas; John S. Vardakas; George Kormetzas; Christos V. Verikoukis (GLOBECOM, 2023)

An Experimental Platform of a Beyond-5G Network with Machine Learning Integration. - Luis A. Garrido; Anestis Dalgkitsis; Golshan Famitafreshi; Apostolos Siokis; Kostas Ramantas; Christos V. Verikoukis (GLOBECOM, 2023)

Graph-based Interpretable Anomaly Detection Framework for Network Slice Management in Beyond 5G Networks. - Ashima Chawla; Anne-Marie Bosneag; Anestis Dalgkitsis (NOMS, 2023)

Admission Control with Resource Efficiency Using Reinforcement Learning in Beyond-5G Networks. - Luis A. Garrido; Kostas Ramantas; Anestis Dalgkitsis; Adlen Ksentini; Christos V. Verikoukis (PIMRC, 2023)

NetROS-5G: Enhancing Personalization through 5G Network Slicing and Edge Computing in Human-Robot Interactions. - Anestis Dalgkitsis; Christos V. Verikoukis (CoRR, 2023)

SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services. - Anestis Dalgkitsis; Luis A. Garrido; Farhad Rezazadeh; Hatim Chergui; Kostas Ramantas; John S. Vardakas; Christos V. Verikoukis (IEEE Trans. Intell. Transp. Syst., 2023)

In-network Control for Flow Steering. - Angelos Dimoglis; Faris Alhamed; Anestis Dalgkitsis; Andrea Sgambelluri; Francesco Paolucci; Chrysa Papagianni; Paola Grosso (ICTON, 2024)

Secure Collaborative Model Training with Dynamic Federated Learning in Multi-Domain Environments. - Anestis Dalgkitsis; Alexandros Koufakis; Jorrit Stutterheim; Aleandro Mifsud; Priyanka Atwani; Leon Gommans; Cees de Laat; Chrysa Papagianni; Ana Oprescu (SC Workshops, 2024)

Zero-touch service orchestration in 5G and beyond mobile networks - Anestis Dalgkitsis (2024)

Resource Demand Prediction for Network Slices in 5G Using ML Enhanced With Network Models. - Luis A. Garrido; Anestis Dalgkitsis; Kostas Ramantas; Adlen Ksentini; Christos V. Verikoukis (IEEE Trans. Veh. Technol., 2024)

Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning. - Cyril Shih-Huan Hsu; Anestis Dalgkitsis; Chrysa Papagianni; Paola Grosso (CoRR, 2025)