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- Sanaz Mohammadjafari
aka: Sanaz Mohammad Jafari
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Publication search results
found 14 matches
- 2023
- Sanaz Mohammad Jafari, Mucahit Cevik, Ayse Basar:
Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning. Appl. Intell. 53(18): 21050-21076 (2023) - Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar:
VARGAN: variance enforcing network enhanced GAN. Appl. Intell. 53(1): 69-95 (2023) - Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim:
Sequence Labeling for Disambiguating Medical Abbreviations. J. Heal. Informatics Res. 7(4): 501-526 (2023) - Sanaz Mohammad Jafari, Savas Yildirim, Mucahit Cevik, Ayse Basar:
Anaphoric Ambiguity Resolution in Software Requirement Texts. IEEE Big Data 2023: 4722-4730 - 2022
- Ozan Ozyegen, Sanaz Mohammadjafari, Mucahit Cevik, Karim El Mokhtari, Jonathan Ethier, Ayse Basar:
An Empirical Study on Using CNNs for Fast Radio Signal Prediction. SN Comput. Sci. 3(2): 131 (2022) - Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar:
Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning. CoRR abs/2207.11223 (2022) - Mucahit Cevik, Sanaz Mohammad Jafari, Mitchell Myers, Savas Yildirim:
Token Classification for Disambiguating Medical Abbreviations. CoRR abs/2210.02487 (2022) - 2021
- Sanaz Mohammadjafari, Ozan Ozyegen, Mucahit Cevik, Emir Kavurmacioglu, Jonathan Ethier, Ayse Basar:
Designing mm-wave electromagnetic engineered surfaces using generative adversarial networks. Neural Comput. Appl. 33(17): 11309-11323 (2021) - Sanaz Mohammadjafari, Mucahit Cevik, Mathusan Thanabalasingam, Ayse Basar, Alzheimer's Disease Neuroimaging Initiative:
Using ProtoPNet for Interpretable Alzheimer's Disease Classification. Canadian AI 2021 - Sanaz Mohammadjafari, Mucahit Cevik, Ayse Basar:
VARGAN: Variance Enforcing Network Enhanced GAN. CoRR abs/2109.02117 (2021) - 2020
- Ozan Ozyegen, Sanaz Mohammadjafari, Emir Kavurmacioglu, John Maidens, Ayse Basar Bener:
Experimental Results on the Impact of Memory in Neural Networks for Spectrum Prediction in Land Mobile Radio Bands. IEEE Trans. Cogn. Commun. Netw. 6(2): 771-782 (2020) - Sanaz Mohammadjafari, Sophie Roginsky, Emir Kavurmacioglu, Mucahit Cevik, Jonathan Ethier, Ayse Basar Bener:
Machine Learning-Based Radio Coverage Prediction in Urban Environments. IEEE Trans. Netw. Serv. Manag. 17(4): 2117-2130 (2020) - Ozan Ozyegen, Sanaz Mohammadjafari, Karim El Mokhtari, Mucahit Cevik, Jonathan Ethier, Ayse Basar:
Deep learning approaches for fast radio signal prediction. CoRR abs/2006.09245 (2020) - 2019
- Sanaz Mohammadjafari, Emir Kavurmacioglu, John Maidens, Ayse Bener:
Neural Network Based Spectrum Prediction in Land Mobile Radio Bands for IoT deployments. IM 2019: 31-36
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