Evaluating Learners' Progress in Smart Learning Environment. - Hisham Elhoseny; Mohamed Elhoseny; Samir Abdelrazek; Alaa Mohamed Riad (AISI, 2017)

Applying Cloud Based Machine Learning on Biosensors Streaming Data for Health Status Prediction. - Ahmed Ismail Ebada; Samir Abdelrazek; Ibrahim M. El-Henawy (IISA, 2020)

Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model. - Nora El-Rashidy; Shaker H. Ali El-Sappagh; Tamer AbuHmed; Samir Abdelrazek; Hazem M. El-Bakry (IEEE Access, 2020)

Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning. - Nora El-Rashidy; Tamer AbuHmed; Louai Alarabi; Hazem M. El-Bakry; Samir Abdelrazek; Farman Ali 001; Shaker H. Ali El-Sappagh (Neural Comput. Appl., 2022)

Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning. - Esraa Hassan; Fatma M. Talaat; Samah Adel Gamel; Samir Abdelrazek; Ahsan Aziz; Yunyoung Nam; Nora El-Rashidy (Comput. Syst. Sci. Eng., 2023)

Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey. - Rana Khattab; Islam R. Abdelmaksoud; Samir Abdelrazek (New Gener. Comput., 2023)

Automated detection of COVID-19 and pneumonia diseases using data mining and transfer learning algorithms with focal loss from chest X-ray images. - Rana Khattab; Islam R. Abdelmaksoud; Samir Abdelrazek (Appl. Soft Comput., 2024)