A hybrid approach of support vector machines with logistic regression for β-turn prediction. - Murtada Khalafallah Elbashir; Jianxin Wang 001; Fang-Xiang Wu (BIBM Workshops, 2012)

Sparse kernel logistic regression for β-turns prediction. - Murtada Khalafallah Elbashir; Jianxin Wang 001; Fang-Xiang Wu; Min Li 007 (ISB, 2012)

Kernel Logistic Regression Algorithm for Large-Scale Data Classification. - Murtada Khalafallah Elbashir; Jianxin Wang 001 (Int. Arab J. Inf. Technol., 2015)

Lightweight Convolutional Neural Network for Breast Cancer Classification Using RNA-Seq Gene Expression Data. - Murtada Khalafallah Elbashir; Mohamed M. Ezz; Mohanad Mohammed; Said S. Saloum (IEEE Access, 2019)

Improved Siamese Palmprint Authentication Using Pre-Trained VGG16-Palmprint and Element-Wise Absolute Difference. - Mohamed M. Ezz; Waad Alanazi; Ayman Mohamed Mostafa; Eslam Hamouda; Murtada Khalafallah Elbashir; Meshrif Alruily (Comput. Syst. Sci. Eng., 2023)

Innovative Hetero-Associative Memory Encoder (HAMTE) for Palmprint Template Protection. - Eslam Hamouda; Mohamed M. Ezz; Ayman Mohamed Mostafa; Murtada Khalafallah Elbashir; Meshrif Alruily; Mayada Tarek (Comput. Syst. Sci. Eng., 2023)

Deep learning models for multilabel ECG abnormalities classification: A comparative study using TPE optimization. - Atiaf A. Rawi; Murtada K. Elbashir; Awadallah M. Ahmed (J. Intell. Syst., 2023)

LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification. - Fadi Alharbi; Aleksandar Vakanski; Murtada Khalafallah Elbashir; Mohanad Mohammed (CoRR, 2024)

Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification. - Fadi Alharbi; Aleksandar Vakanski; Boyu Zhang 004; Murtada K. Elbashir; Mohanad Mohammed (CoRR, 2024)

Acute Knee Injury Detection with Magnetic Resonance Imaging (MRI). - Mahmood A. Mahmood; Khalaf Alsalem; Murtada K. Elbashir; Sameh Abd El-Ghany; Ahmed Abd El-Aziz 001 (Int. J. Comput. Commun. Control, 2024)

Singular Value Decomposition-Based Penalized Multinomial Regression for Classifying Imbalanced Medulloblastoma Subgroups Using Methylation Data. - Isra Mohammed; Murtada K. Elbashir; Areeg S. Faggad (J. Comput. Biol., 2024)

An Efficient Deep Learning Approach for DNA-Binding Proteins Classification from Primary Sequences. - Nosiba Yousif Ahmed; Wafa Alameen Alsanousi; Eman Mohammed Hamid; Murtada K. Elbashir; Khadija Mohammed Al-Aidarous; Mogtaba Mohammed; Mohamed Elhafiz M. Musa (Int. J. Comput. Intell. Syst., 2024)

Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification. - Fadi Alharbi; Aleksandar Vakanski; Boyu Zhang 004; Murtada K. Elbashir; Mohanad Mohammed (IEEE Access, 2025)

An Intracranial Brain Hemorrhage's Identification and Classification on CT Imaging using Fuzzy Deep Learning. - Mahmood A. Mahmood; Khalaf Alsalem; Murtada K. Elbashir; Sameh Abd El-Ghany; A. A. Abd El-Aziz 001 (Int. J. Comput. Commun. Control, 2025)

Leveraging Fuzzy C-Means and EfficientNetB0 for Improved ECG Image Classification. - Mahmood A. Mahmood; Khalaf Alsalem; Murtada K. Elbashir; Sameh Abd El-Ghany; A. A. Abd El-Aziz 001 (Int. J. Comput. Commun. Control, 2025)

Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks. - Meshrif Alruily; Murtada K. Elbashir; Mohamed M. Ezz; Bader Aldughayfiq; Majed Abdullah Alrowaily; Hisham Allahem; Mohanad Mohammed; Elsayed Mostafa; Ayman Mohamed Mostafa (Int. J. Intell. Syst., 2025)

Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach. - Fadi Alharbi; Nishant Budhiraja; Aleksandar Vakanski; Boyu Zhang 004; Murtada K. Elbashir; Mohanad Mohammed (CoRR, 2025)