Jonathan Ethier

18 papers B 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Heteroscedastic Neural Networks for Path Loss Prediction with Link-Specific Uncertainty. CoRR Jonathan Ethier
2025	J	`jnl`	Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks. CoRR Ryan Dempsey, Jonathan Ethier, Halim Yanikomeroglu
2025	J	`jnl`	Path Loss Prediction Using Machine Learning with Extended Features. CoRR Jonathan Ethier, Mathieu Châteauvert, Ryan Dempsey, Alexis Bose
2025	B	`conf`	Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction. PIMRC Ryan Dempsey, Jonathan Ethier, Halim Yanikomeroglu
2025	J	`jnl`	Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction. CoRR Ryan Dempsey, Jonathan Ethier, Halim Yanikomeroglu
2025	J	`jnl`	Uncertainty Estimation for Path Loss and Radio Metric Models. CoRR Alexis Bose, Jonathan Ethier, Ryan Dempsey, Yifeng Qiu
2024	J	`jnl`	Clutter Classification Using Deep Learning in Multiple Stages. CoRR Ryan Dempsey, Jonathan Ethier
2024	J	`jnl`	Conformal Prediction for Multimodal Regression. CoRR Alexis Bose, Jonathan Ethier, Paul Guinand
2024	J	`jnl`	Extending Machine Learning Based RF Coverage Predictions to 3D. CoRR Muyao Chen, Mathieu Châteauvert, Jonathan Ethier
2024	J	`jnl`	Machine Learning-Based Path Loss Modeling with Simplified Features. CoRR Jonathan Ethier, Mathieu Châteauvert
2024	J	`jnl`	Path Loss Prediction Using Deep Learning. CoRR Ryan Dempsey, Jonathan Ethier, Halim Yanikomeroglu
2024	J	`jnl`	Target Strangeness: A Novel Conformal Prediction Difficulty Estimator. CoRR Alexis Bose, Jonathan Ethier, Paul Guinand
2023	—	`conf`	Signal Attenuation through Foliage Estimator (SAFE). UEMCON Mathieu Châteauvert, Jonathan Ethier, Pierre Bouchard
2022	J	`jnl`	An Empirical Study on Using CNNs for Fast Radio Signal Prediction. SN Comput. Sci. Ozan Ozyegen, Sanaz Mohammadjafari, Mucahit Cevik, Karim El Mokhtari, Jonathan Ethier, Ayse Basar
2021	J	`jnl`	Designing mm-wave electromagnetic engineered surfaces using generative adversarial networks. Neural Comput. Appl. Sanaz Mohammadjafari, Ozan Ozyegen, Mucahit Cevik, Emir Kavurmacioglu, Jonathan Ethier, Ayse Basar
2020	J	`jnl`	Deep learning approaches for fast radio signal prediction. CoRR Ozan Ozyegen, Sanaz Mohammadjafari, Karim El Mokhtari, Mucahit Cevik, Jonathan Ethier, Ayse Basar
2020	J	`jnl`	Machine Learning-Based Radio Coverage Prediction in Urban Environments. IEEE Trans. Netw. Serv. Manag. Sanaz Mohammadjafari, Sophie Roginsky, Emir Kavurmacioglu, Mucahit Cevik, Jonathan Ethier, Ayse Basar Bener
2019	—	`conf`	Generative adversarial networks in designing electromagnetic engineered surfaces for mm-Wave band spectrum environments. CASCON Ozan Ozyegen, Emir Kavurmacioglu, Jonathan Ethier, Ayse Basar