Ozan Ozyegen

According to our database, Ozan Ozyegen authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

2023

DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting.

Ozan Ozyegen, Juyoung Wang, Mucahit Cevik

CoRR, 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

Interpretable Time Series Clustering Using Local Explanations.

Ozan Ozyegen, Nicholas Prayogo, Mucahit Cevik, Ayse Basar

CoRR, 2022

Word-level text highlighting of medical texts for telehealth services.

Ozan Ozyegen, Devika Kabe, Mucahit Cevik

Artif. Intell. Medicine, 2022

Evaluation of interpretability methods for multivariate time series forecasting.

Ozan Ozyegen, Igor Ilic, Mucahit Cevik

Appl. Intell., 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

Word-level Text Highlighting of Medical Texts forTelehealth Services.

Ozan Ozyegen, Devika Kabe, Mucahit Cevik

CoRR, 2021

Text classification for predicting multi-level product categories.

Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik, Beste Bulut, Deniz Yigit, Fahrettin F. Gonen, Ayse Basar

Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

2020

Experimental Results on the Impact of Memory in Neural Networks for Spectrum Prediction in Land Mobile Radio Bands.

Ozan Ozyegen, Sanaz Mohammadjafari, Emir Kavurmacioglu, John Maidens, Ayse Basar Bener

IEEE Trans. Cogn. Commun. Netw., 2020

Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting.

Ozan Ozyegen, Igor Ilic, Mucahit Cevik

CoRR, 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