Cervical Cancer Diagnosis Using Random Forest Classifier With SMOTE and Feature Reduction Techniques. - Sherif F. Abdoh; Mohamed Abo Rizka; Fahima A. Maghraby (IEEE Access, 2018)

Predicting Drug Target Interaction by Integrating Drug Fingerprint and Drug Side Effect Using Machine Learning. - Abdelrahman Saad; Fahima A. Maghraby; Yasser M. K. Omar (AMLTA, 2019)

Improve Profiling Bank Customer's Behavior Using Machine Learning. - Emad Abd Elaziz Dawood; Essamedean Elfakhrany; Fahima A. Maghraby (IEEE Access, 2019)

Predicting Drug Interaction With Adenosine Receptors Using Machine Learning and SMOTE Techniques. - Abdelrahman Saad; Yasser M. K. Omar; Fahima A. Maghraby (IEEE Access, 2019)

Machine Learning Model for Predicting Non-performing Agricultural Loans. - Mohamed Ahmed Elnaggar; Mostafa Abed E. L. Azeem; Fahima A. Maghraby (AICV, 2020)

Machine Learning Approaches for Human Activity Recognition Based on Multimodal Body Sensors. - Ghada Gamal; Yasser M. K. Omar; Fahima A. Maghraby (ISDA, 2020)

Machine Learning Model for Multiclass Lesion Diagnoses. - Karim E. Ismail; Mohamed A. AbouRizka; Fahima A. Maghraby (NILES, 2020)

Violence 4D: Violence detection in surveillance using 4D convolutional neural networks. - Mai Magdy; Mohamed Waleed Fakhr; Fahima A. Maghraby (IET Comput. Vis., 2023)

Lexical Normalization Using Generative Transformer Model (LN-GTM). - Mohamed Ashmawy; Mohamed Waleed Fakhr; Fahima A. Maghraby (Int. J. Comput. Intell. Syst., 2023)

PolySeg Plus: Polyp Segmentation Using Deep Learning with Cost Effective Active Learning. - Abdelrahman Saad; Fahima A. Maghraby; Osama Badawy 001 (Int. J. Comput. Intell. Syst., 2023)

Outsmarting Spam: Resilient Model for Concept Drift and Evolving Threats. - George S. Yanni; H. Salah; Fahima A. Maghraby (ICCTA, 2024)

PolyDSS: computer-aided decision support system for multiclass polyp segmentation and classification using deep learning. - Abdelrahman Saad; Fahima A. Maghraby; Osama Badawy 001 (Neural Comput. Appl., 2024)

Pediatric Posterior Fossa Tumors Classification and Explanation-Driven with Explainable Artificial Intelligence Models. - Eman Ragab Ashry; Fahima A. Maghraby; Yasser M. Abd El-Latif; Mohamed Agag (Int. J. Comput. Intell. Syst., 2024)