Generative adversarial networks in designing electromagnetic engineered surfaces for mm-Wave band spectrum environments. - Ozan Ozyegen; Emir Kavurmacioglu; Jonathan Ethier; Ayse Basar (CASCON, 2019)

Deep learning approaches for fast radio signal prediction. - Ozan Ozyegen; Sanaz Mohammadjafari; Karim El Mokhtari; Mucahit Cevik; Jonathan Ethier; Ayse Basar (CoRR, 2020)

Machine Learning-Based Radio Coverage Prediction in Urban Environments. - Sanaz Mohammadjafari; Sophie Roginsky; Emir Kavurmacioglu; Mucahit Cevik; Jonathan Ethier; Ayse Basar Bener (IEEE Trans. Netw. Serv. Manag., 2020)

Designing mm-wave electromagnetic engineered surfaces using generative adversarial networks. - Sanaz Mohammadjafari; Ozan Ozyegen; Mucahit Cevik; Emir Kavurmacioglu; Jonathan Ethier; Ayse Basar (Neural Comput. Appl., 2021)

An Empirical Study on Using CNNs for Fast Radio Signal Prediction. - Ozan Ozyegen; Sanaz Mohammadjafari; Mucahit Cevik; Karim El Mokhtari; Jonathan Ethier; Ayse Basar (SN Comput. Sci., 2022)

Signal Attenuation through Foliage Estimator (SAFE). - Mathieu Châteauvert; Jonathan Ethier; Pierre Bouchard (UEMCON, 2023)

Machine Learning-Based Path Loss Modeling with Simplified Features. - Jonathan Ethier; Mathieu Châteauvert (CoRR, 2024)

Clutter Classification Using Deep Learning in Multiple Stages. - Ryan Dempsey; Jonathan Ethier (CoRR, 2024)

Extending Machine Learning Based RF Coverage Predictions to 3D. - Muyao Chen; Mathieu Châteauvert; Jonathan Ethier (CoRR, 2024)

Target Strangeness: A Novel Conformal Prediction Difficulty Estimator. - Alexis Bose; Jonathan Ethier; Paul Guinand (CoRR, 2024)

Conformal Prediction for Multimodal Regression. - Alexis Bose; Jonathan Ethier; Paul Guinand (CoRR, 2024)

Path Loss Prediction Using Deep Learning. - Ryan Dempsey; Jonathan Ethier; Halim Yanikomeroglu (CoRR, 2024)

Uncertainty Estimation for Path Loss and Radio Metric Models. - Alexis Bose; Jonathan Ethier; Ryan Dempsey; Yifeng Qiu (CoRR, 2025)

Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks. - Ryan Dempsey; Jonathan Ethier; Halim Yanikomeroglu (CoRR, 2025)

Path Loss Prediction Using Machine Learning with Extended Features. - Jonathan Ethier; Mathieu Châteauvert; Ryan Dempsey; Alexis Bose (CoRR, 2025)

Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction. - Ryan Dempsey; Jonathan Ethier; Halim Yanikomeroglu (CoRR, 2025)