Skip to content

Author

Antonios Lalas

We have 2 of 89 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Combining Statistical and Machine Learning Methodologies in Energy Consumption Forecasting for Electric Vehicles

A novel approach is proposed, combining advanced machine learning models—such as XGBoost, Random Forest, and regression-based techniques—with innovative dataset manipulation using statistical methods, ensuring that models dynamically adapt to real-world scenarios.

Vasileios Pitsiavas, Georgios Spanos, Sofia Polymeni et al. · 0 citations
Preprint Aug 2026

Deep Reinforcement Learning Orchestration of Game-Theoretic User Association and Resource Allocation in HetNets

A novel orchestration scheme for game-theoretic UARA in HetNets that closely approximates the optimal policy for the considered operational objectives, while delivering higher network throughput than conventional association methods.

Sotiris Kopsinos, Alexandros I. Papadopoulos, Antonios Lalas et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.