Sanaz Mohammadjafari

According to our database, Sanaz Mohammadjafari authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

2023

Sequence Labeling for Disambiguating Medical Abbreviations.

Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim

J. Heal. Informatics Res., December, 2023

Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning.

Sanaz Mohammad Jafari, Mucahit Cevik, Ayse Basar

Appl. Intell., September, 2023

VARGAN: variance enforcing network enhanced GAN.

Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar

Appl. Intell., 2023

Anaphoric Ambiguity Resolution in Software Requirement Texts.

Sanaz Mohammad Jafari, Savas Yildirim, Mucahit Cevik, Ayse Basar

Proceedings of the IEEE International Conference on Big Data, 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

Token Classification for Disambiguating Medical Abbreviations.

Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim

CoRR, 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

Using ProtoPNet for Interpretable Alzheimer's Disease Classification.

Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam, Ayse Basar, Alzheimer's Disease Neuroimaging Initiative

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 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

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

Deep learning approaches for fast radio signal prediction.

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

CoRR, 2020

2019

Neural Network Based Spectrum Prediction in Land Mobile Radio Bands for IoT deployments.

Sanaz Mohammadjafari, Emir Kavurmacioglu, John Maidens, Ayse Bener

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019