Sotirios P. Sotiroudis

Neural Networks and Random Forests: A Comparison Regarding Prediction of Propagation Path Loss for NB-IoT Networks

Sotirios K. Goudos, Katherine Siakavara, Sotirios P. Sotiroudis, 2019, 2019 8th International Conference on Modern Circuits and Systems Technologies (MOCAST).

Feature Importances: A Tool to Explain Radio Propagation and Reduce Model Complexity

Sotirios K. Goudos, Katherine Siakavara, Sotirios P. Sotiroudis, 2020, Telecom.

Mobile radio propagation path loss prediction using Artificial Neural Networks with optimal input information for urban environments

Katherine Siakavara, Sotirios P. Sotiroudis, 2015 .

A Neural Network Approach to the Prediction of the Propagation Path-loss for Mobile Communications Systems in Urban Environments

John N. Sahalos, Katherine Siakavara, Sotirios P. Sotiroudis, 2007 .

Deep learning for radio propagation: Using image-driven regression to estimate path loss in urban areas

Sotirios K. Goudos, Katherine Siakavara, Sotirios P. Sotiroudis, 2020, ICT Express.

Fusing Diverse Input Modalities for Path Loss Prediction: A Deep Learning Approach

Sotirios K. Goudos, Katherine Siakavara, Panagiotis Sarigiannidis, 2021, IEEE Access.

Comparing Machine Learning Methods for Air-to-Ground Path Loss Prediction

George V. Tsoulos, Georgia E. Athanasiadou, Sotirios K. Goudos, 2021, 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST).

Unsupervised Machine Learning in 6G Networks -State-of-the-art and Future Trends

George K. Karagiannidis, Sotirios K. Goudos, Panagiotis G. Sarigiannidis, 2021, 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST).

Enhancing Machine Learning Models for Path Loss Prediction Using Image Texture Techniques

Sotirios K. Goudos, Katherine Siakavara, Georgios P. Koudouridis, 2021, IEEE Antennas and Wireless Propagation Letters.