Fahima A. Maghraby

14 papers C 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Crypsis: an elitism-driven observer-based approach for detection and mitigation of concept drift, concept evolution, and label drift. Data Min. Knowl. Discov. George S. Yanni, Hisham Salah Rashad, Fahima A. Maghraby
2024	—	`conf`	Outsmarting Spam: Resilient Model for Concept Drift and Evolving Threats. ICCTA George S. Yanni, H. Salah, Fahima A. Maghraby
2024	J	`jnl`	Pediatric Posterior Fossa Tumors Classification and Explanation-Driven with Explainable Artificial Intelligence Models. Int. J. Comput. Intell. Syst. Eman Ragab Ashry, Fahima A. Maghraby, Yasser M. Abd El-Latif, Mohamed Agag
2024	J	`jnl`	PolyDSS: computer-aided decision support system for multiclass polyp segmentation and classification using deep learning. Neural Comput. Appl. Abdelrahman Saad, Fahima A. Maghraby, Osama Badawy
2023	J	`jnl`	Lexical Normalization Using Generative Transformer Model (LN-GTM). Int. J. Comput. Intell. Syst. Mohamed Ashmawy, Mohamed Waleed Fakhr, Fahima A. Maghraby
2023	J	`jnl`	PolySeg Plus: Polyp Segmentation Using Deep Learning with Cost Effective Active Learning. Int. J. Comput. Intell. Syst. Abdelrahman Saad, Fahima A. Maghraby, Osama Badawy
2023	J	`jnl`	Violence 4D: Violence detection in surveillance using 4D convolutional neural networks. IET Comput. Vis. Mai Magdy, Mohamed Waleed Fakhr, Fahima A. Maghraby
2020	C	`conf`	Machine Learning Approaches for Human Activity Recognition Based on Multimodal Body Sensors. ISDA Ghada Gamal, Yasser M. K. Omar, Fahima A. Maghraby
2020	—	`conf`	Machine Learning Model for Multiclass Lesion Diagnoses. NILES Karim E. Ismail, Mohamed A. AbouRizka, Fahima A. Maghraby
2020	—	`conf`	Machine Learning Model for Predicting Non-performing Agricultural Loans. AICV Mohamed Ahmed Elnaggar, Mostafa Abed E. L. Azeem, Fahima A. Maghraby
2019	J	`jnl`	Improve Profiling Bank Customer's Behavior Using Machine Learning. IEEE Access Emad Abd Elaziz Dawood, Essamedean Elfakhrany, Fahima A. Maghraby
2019	J	`jnl`	Predicting Drug Interaction With Adenosine Receptors Using Machine Learning and SMOTE Techniques. IEEE Access Abdelrahman Saad, Yasser M. K. Omar, Fahima A. Maghraby
2019	—	`conf`	Predicting Drug Target Interaction by Integrating Drug Fingerprint and Drug Side Effect Using Machine Learning. AMLTA Abdelrahman Saad, Fahima A. Maghraby, Yasser M. K. Omar
2018	J	`jnl`	Cervical Cancer Diagnosis Using Random Forest Classifier With SMOTE and Feature Reduction Techniques. IEEE Access Sherif F. Abdoh, Mohamed Abo Rizka, Fahima A. Maghraby