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ORCIDMurtada K. Elbashir
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Journal Articles
- 2024
[j8]Mahmood A. Mahmood
, Khalaf Alsalem, Murtada K. Elbashir, Sameh Abd El-Ghany, Ahmed Abd El-Aziz:
Acute Knee Injury Detection with Magnetic Resonance Imaging (MRI). Int. J. Comput. Commun. Control 19(5) (2024)- [j7]Nosiba Yousif Ahmed, Wafa Alameen Alsanousi, Eman Mohammed Hamid, Murtada K. Elbashir, Khadija Mohammed Al-Aidarous, Mogtaba Mohammed, Mohamed Elhafiz M. Musa:
An Efficient Deep Learning Approach for DNA-Binding Proteins Classification from Primary Sequences. Int. J. Comput. Intell. Syst. 17(1): 88 (2024) - [j6]Isra Mohammed, Murtada K. Elbashir, Areeg S. Faggad:
Singular Value Decomposition-Based Penalized Multinomial Regression for Classifying Imbalanced Medulloblastoma Subgroups Using Methylation Data. J. Comput. Biol. 31(5): 458-471 (2024) - 2023
- [j5]Eslam Hamouda, Mohamed M. Ezz, Ayman Mohamed Mostafa, Murtada Khalafallah Elbashir, Meshrif Alruily, Mayada Tarek:
Innovative Hetero-Associative Memory Encoder (HAMTE) for Palmprint Template Protection. Comput. Syst. Sci. Eng. 46(1): 619-636 (2023) - [j4]Mohamed M. Ezz, Waad Alanazi, Ayman Mohamed Mostafa, Eslam Hamouda, Murtada Khalafallah Elbashir, Meshrif Alruily:
Improved Siamese Palmprint Authentication Using Pre-Trained VGG16-Palmprint and Element-Wise Absolute Difference. Comput. Syst. Sci. Eng. 46(2): 2299-2317 (2023) - [j3]Atiaf A. Rawi, Murtada K. Elbashir, Awadallah M. Ahmed:
Deep learning models for multilabel ECG abnormalities classification: A comparative study using TPE optimization. J. Intell. Syst. 32(1) (2023) - 2019
- [j2]Murtada Khalafallah Elbashir, Mohamed M. Ezz, Mohanad Mohammed, Said S. Saloum:
Lightweight Convolutional Neural Network for Breast Cancer Classification Using RNA-Seq Gene Expression Data. IEEE Access 7: 185338-185348 (2019) - 2015
- [j1]Murtada Khalafallah Elbashir, Jianxin Wang:
Kernel Logistic Regression Algorithm for Large-Scale Data Classification. Int. Arab J. Inf. Technol. 12(5): 465-472 (2015)
Conference and Workshop Papers
- 2012
- [c2]Murtada Khalafallah Elbashir, Jianxin Wang, Fang-Xiang Wu:
A hybrid approach of support vector machines with logistic regression for β-turn prediction. BIBM Workshops 2012: 587-593 - [c1]Murtada Khalafallah Elbashir, Jianxin Wang, Fang-Xiang Wu, Min Li:
Sparse kernel logistic regression for β-turns prediction. ISB 2012: 246-251
Informal and Other Publications
- 2024
- [i1]Fadi Alharbi, Aleksandar Vakanski, Murtada Khalafallah Elbashir, Mohanad Mohammed:
LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification. CoRR abs/2408.17384 (2024)
Coauthor Index
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