Fahima A. Maghraby

14 papers C 1Journal 9Unranked 4
YearRankTypeTitle / 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