A Mixture of Two Gender Classification Experts. - Yomna Safaa El-Din; Mohamed N. Moustafa 001; Hani Mahdi 001 (SIBGRAPI, 2012)

Landmarks-SIFT Face Representation for Gender Classification. - Yomna Safaa El-Din; Mohamed N. Moustafa 001; Hani Mahdi 001 (ICIAP (2), 2013)

Gender Classification Using Mixture of Experts from Low Resolution Facial Images. - Yomna Safaa El-Din; Mohamed N. Moustafa 001; Hani Mahdi 001 (MCS, 2013)

On the effectiveness of adversarial unsupervised domain adaptation for iris presentation attack detection in mobile devices. - Yomna Safaa El-Din; Hani Mahdi 001 (ICMV, 2020)

Deep convolutional neural networks for face and iris presentation attack detection: survey and case study. - Yomna Safaa El-Din; Mohamed N. Moustafa 001; Hani Mahdi 001 (IET Biom., 2020)

Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection. - Yomna Safaa El-Din; Mohamed N. Moustafa 001; Hani Mahdi 001 (IMPROVE, 2021)