Jonathan Ethier

According to our database, Jonathan Ethier authored at least 17 papers between 2019 and 2025.

Collaborative distances:

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

2025

Heteroscedastic Neural Networks for Path Loss Prediction with Link-Specific Uncertainty.

Jonathan Ethier

CoRR, November, 2025

Path Loss Prediction Using Machine Learning with Extended Features.

Jonathan Ethier, Mathieu Châteauvert, Ryan Dempsey, Alexis Bose

CoRR, January, 2025

Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks.

Ryan Dempsey, Jonathan Ethier, Halim Yanikomeroglu

CoRR, January, 2025

Uncertainty Estimation for Path Loss and Radio Metric Models.

Alexis Bose, Jonathan Ethier, Ryan Dempsey, Yifeng Qiu

CoRR, January, 2025

Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction.

Ryan Dempsey, Jonathan Ethier, Halim Yanikomeroglu

Proceedings of the 36th IEEE International Symposium on Personal, 2025

2024

Path Loss Prediction Using Deep Learning.

Ryan Dempsey, Jonathan Ethier, Halim Yanikomeroglu

CoRR, 2024

Conformal Prediction for Multimodal Regression.

Alexis Bose, Jonathan Ethier, Paul Guinand

CoRR, 2024

Target Strangeness: A Novel Conformal Prediction Difficulty Estimator.

Alexis Bose, Jonathan Ethier, Paul Guinand

CoRR, 2024

Extending Machine Learning Based RF Coverage Predictions to 3D.

Muyao Chen, Mathieu Châteauvert, Jonathan Ethier

CoRR, 2024

Clutter Classification Using Deep Learning in Multiple Stages.

Ryan Dempsey, Jonathan Ethier

CoRR, 2024

Machine Learning-Based Path Loss Modeling with Simplified Features.

Jonathan Ethier, Mathieu Châteauvert

CoRR, 2024

2023

Signal Attenuation through Foliage Estimator (SAFE).

Mathieu Châteauvert, Jonathan Ethier, Pierre Bouchard

Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023

2022

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

2021

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

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

Deep learning approaches for fast radio signal prediction.

Ozan Ozyegen, Sanaz Mohammadjafari, Karim El Mokhtari, Mucahit Cevik, Jonathan Ethier, Ayse Basar

CoRR, 2020

2019

Generative adversarial networks in designing electromagnetic engineered surfaces for mm-Wave band spectrum environments.

Ozan Ozyegen, Emir Kavurmacioglu, Jonathan Ethier, Ayse Basar

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019