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ORCIDOmar M. Elzeki
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2020 – today
- 2024
[j6]Ghada El-Khawaga
, Omar M. Elzeki, Mervat Abu-Elkheir, Manfred Reichert:
Why Should I Trust Your Explanation? An Evaluation Approach for XAI Methods Applied to Predictive Process Monitoring Results. IEEE Trans. Artif. Intell. 5(4): 1458-1472 (2024)- 2022
- [j5]Mohamed E. ElAraby, Omar M. Elzeki, Mahmoud Y. Shams, Amena Mahmoud, Hanaa Salem:
A novel Gray-Scale spatial exploitation learning Net for COVID-19 by crawling Internet resources. Biomed. Signal Process. Control. 73: 103441 (2022) - [j4]Ibrahim M. El-Hasnony, Omar M. Elzeki, Ali Alshehri, Hanaa Salem:
Multi-Label Active Learning-Based Machine Learning Model for Heart Disease Prediction. Sensors 22(3): 1184 (2022) - 2021
- [j3]Mahmoud Y. Shams, Omar M. Elzeki, Lobna M. Abouelmagd, Aboul Ella Hassanien, Mohamed Abd Elfattah, Hanaa Salem:
HANA: A Healthy Artificial Nutrition Analysis model during COVID-19 pandemic. Comput. Biol. Medicine 135: 104606 (2021) - [j2]Omar M. Elzeki, Mahmoud Y. Shams, Shahenda Sarhan, Mohamed Abd Elfattah, Aboul Ella Hassanien:
COVID-19: a new deep learning computer-aided model for classification. PeerJ Comput. Sci. 7: e358 (2021) - [j1]Omar M. Elzeki, Mohamed Abd Elfattah, Hanaa Salem, Aboul Ella Hassanien, Mahmoud Y. Shams:
A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset. PeerJ Comput. Sci. 7: e364 (2021) - [c1]Mahmoud Y. Shams, Omar M. Elzeki, Mohamed Abd Elfattah, Lobna M. Abouelmagd, Ashraf Darwish, Aboul Ella Hassanien:
Impact of COVID-19 Pandemic on Diet Prediction and Patient Health Based on Support Vector Machine. AMLTA 2021: 64-76
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