George Stamatelis

According to our database, George Stamatelis authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Neural predictor aided policy optimization for adversarial controlled sensing.

Nicholas Kalouptsidis, George Stamatelis

Signal Process., 2026

2025

Joint Active RIS Configuration and User Power Control for Localization: A Neuroevolution-Based Approach.

George Stamatelis, Hui Chen, Henk Wymeersch, George C. Alexandropoulos

CoRR, October, 2025

Multi-Agent Actor-Critic with Harmonic Annealing Pruning for Dynamic Spectrum Access Systems.

George Stamatelis, Angelos-Nikolaos Kanatas, George C. Alexandropoulos

CoRR, March, 2025

Evasive Active Hypothesis Testing With Deep Neuroevolution: The Single- and Multi-Agent Cases.

George Stamatelis, Angelos-Nikolaos Kanatas, Ioannis Asprogerakas, George C. Alexandropoulos

IEEE Trans. Inf. Forensics Secur., 2025

Learning RIS Configuration with Quantized Responses: A Neuroevolution-Trained Multi-Branch Attention Convolutional Neural Network.

George Stamatelis, Kyriakos Stylianopoulos, George C. Alexandropoulos

Proceedings of the IEEE International Conference on Communications, 2025

On the Detection of Non-Cooperative RISs: Scan $B$-Testing via Deep Support Vector Data Description.

George Stamatelis, Panagiotis N. Gavriilidis, Aymen Fakhreddine, George C. Alexandropoulos

Proceedings of the IEEE International Conference on Communications, 2025

2024

Multi-Branch Attention Convolutional Neural Network for Online RIS Configuration with Discrete Responses: A Neuroevolution Approach.

George Stamatelis, Kyriakos Stylianopoulos, George C. Alexandropoulos

CoRR, 2024

Single- and Multi-Agent Private Active Sensing: A Deep Neuroevolution Approach.

George Stamatelis, Angelos-Nikolaos Kanatas, Ioannis Asprogerakas, George C. Alexandropoulos

Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023

Active Hypothesis Testing in Unknown Environments Using Recurrent Neural Networks and Model Free Reinforcement Learning.

George Stamatelis, Nicholas Kalouptsidis

Proceedings of the 31st European Signal Processing Conference, 2023