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Fahima A. Maghraby
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Journal Articles
- 2024
- [j8]Eman Ragab Ashry
, Fahima A. Maghraby, Yasser M. Abd El-Latif, Mohamed Agag:
Pediatric Posterior Fossa Tumors Classification and Explanation-Driven with Explainable Artificial Intelligence Models. Int. J. Comput. Intell. Syst. 17(1): 166 (2024) - [j7]Abdelrahman Saad
, Fahima A. Maghraby, Osama Badawy:
PolyDSS: computer-aided decision support system for multiclass polyp segmentation and classification using deep learning. Neural Comput. Appl. 36(9): 5031-5057 (2024) - 2023
- [j6]Mai Magdy
, Mohamed Waleed Fakhr, Fahima A. Maghraby:
Violence 4D: Violence detection in surveillance using 4D convolutional neural networks. IET Comput. Vis. 17(3): 282-294 (2023) - [j5]Abdelrahman Saad
, Fahima A. Maghraby, Osama Badawy:
PolySeg Plus: Polyp Segmentation Using Deep Learning with Cost Effective Active Learning. Int. J. Comput. Intell. Syst. 16(1): 148 (2023) - [j4]Mohamed Ashmawy
, Mohamed Waleed Fakhr, Fahima A. Maghraby:
Lexical Normalization Using Generative Transformer Model (LN-GTM). Int. J. Comput. Intell. Syst. 16(1): 183 (2023) - 2019
- [j3]Emad Abd Elaziz Dawood
, Essamedean Elfakhrany
, Fahima A. Maghraby:
Improve Profiling Bank Customer's Behavior Using Machine Learning. IEEE Access 7: 109320-109327 (2019) - [j2]Abdelrahman Saad
, Yasser M. K. Omar, Fahima A. Maghraby:
Predicting Drug Interaction With Adenosine Receptors Using Machine Learning and SMOTE Techniques. IEEE Access 7: 146953-146963 (2019) - 2018
- [j1]Sherif F. Abdoh
, Mohamed Abo Rizka, Fahima A. Maghraby:
Cervical Cancer Diagnosis Using Random Forest Classifier With SMOTE and Feature Reduction Techniques. IEEE Access 6: 59475-59485 (2018)
Conference and Workshop Papers
- 2020
- [c4]Mohamed Ahmed Elnaggar
, Mostafa Abed E. L. Azeem, Fahima A. Maghraby:
Machine Learning Model for Predicting Non-performing Agricultural Loans. AICV 2020: 395-404 - [c3]Ghada Gamal, Yasser M. K. Omar, Fahima A. Maghraby:
Machine Learning Approaches for Human Activity Recognition Based on Multimodal Body Sensors. ISDA 2020: 977-987 - [c2]Karim E. Ismail, Mohamed A. AbouRizka, Fahima A. Maghraby:
Machine Learning Model for Multiclass Lesion Diagnoses. NILES 2020: 397-402 - 2019
- [c1]Abdelrahman Saad
, Fahima A. Maghraby, Yasser M. K. Omar:
Predicting Drug Target Interaction by Integrating Drug Fingerprint and Drug Side Effect Using Machine Learning. AMLTA 2019: 281-290
Coauthor Index
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