N. Barakat

Hybrid rule-extraction from support vector machines

Nahla H. Barakat, J. Diederich, N. Barakat, 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..

Arabic Image Captioning: The Effect of Text Pre-processing on the Attention Weights and the BLEU-N Scores

N. Barakat, Moaz T. Lasheen, 2022, International Journal of Advanced Computer Science and Applications.

Rule extraction from support vector machines: A review

Andrew P. Bradley, Nahla H. Barakat, A. Bradley, 2010, Neurocomputing.

Cascade Generalization: One versus Many

Nahla Barakat, Nahla H. Barakat, N. Barakat, 2017, J. Comput..

Cascade generalization: Is SVMs' inductive bias useful?

Nahla Barakat, Nahla H. Barakat, N. Barakat, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Eclectic Rule-Extraction from Support Vector Machines

Joachim Diederich, Nahla H. Barakat, Nahla Barakat, 2005 .

Intelligible Support Vector Machines for Diagnosis of Diabetes Mellitus

Andrew P. Bradley, Nahla H. Barakat, Mohamed Nabil H. Barakat, 2010, IEEE Transactions on Information Technology in Biomedicine.

Prediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning Approach

N. Barakat, N. Ahmed, S. Barakat, 2019, Healthcare informatics research.

Rule Extraction from Support Vector Machines: A Sequential Covering Approach

Andrew P. Bradley, Nahla H. Barakat, A. Bradley, 2007, IEEE Transactions on Knowledge and Data Engineering.

Feature ranking utilizing support vector machines' SVs

Nahla Barakat, Nahla H. Barakat, N. Barakat, 2013, Third International Conference on Innovative Computing Technology (INTECH 2013).