| Intelligible support vector machines for diagnosis of diabetes mellitus N Barakat, AP Bradley, MNH Barakat IEEE transactions on information technology in biomedicine 14 (4), 1114-1120, 2010 | 467 | 2010 |
| Rule extraction from support vector machines: a review N Barakat, AP Bradley Neurocomputing 74 (1-3), 178-190, 2010 | 274 | 2010 |
| Eclectic rule-extraction from support vector machines N Barakat, J Diederich International Journal of Computational Intelligence 2 (1), 59-62, 2005 | 191 | 2005 |
| Rule extraction from support vector machines: A sequential covering approach NH Barakat, AP Bradley IEEE Transactions on Knowledge and Data Engineering 19 (6), 729-741, 2007 | 142 | 2007 |
| Learning-based rule-extraction from support vector machines N Barakat, J Diederich not found, 2004 | 77 | 2004 |
| Rule extraction from support vector machines: Measuring the explanation capability using the area under the roc curve N Barakat, AP Bradley 18th International Conference on Pattern Recognition (ICPR'06) 2, 812-815, 2006 | 58 | 2006 |
| Prediction and staging of hepatic fibrosis in children with hepatitis C virus: A machine learning approach NH Barakat, SH Barakat, N Ahmed Healthcare Informatics Research 25 (3), 173-181, 2019 | 38 | 2019 |
| Learning-based rule-extraction from support vector machines: performance on benchmark data sets N Barakat, J Diederich Proc. Conf. Neuro-Computing and Evolving Intelligence, 2004 | 25 | 2004 |
| Hybrid rule-extraction from support vector machines J Diederich, N Barakat IEEE Conference on Cybernetics and Intelligent Systems, 2004. 2, 1271-1276, 2004 | 15 | 2004 |
| Intelligent alarm system to protect small, valuable items A El Kashef, N Barakat 2018 International Conference on Computer and Applications (ICCA), 326-330, 2018 | 11 | 2018 |
| Cascade generalization: Is SVMs' inductive bias useful? N Barakat 2010 IEEE International Conference on Systems, Man and Cybernetics, 1393-1399, 2010 | 10 | 2010 |
| Senior Member, IEEE, and Mohamed Nabil H. Barakat,“Intelligible Support Vector Machines for Diagnosis of Diabetes Mellitus” NH Barakat, AP Bradley IEEE Transactions on Information Technology in Biomedicine 14 (4), 2010 | 10 | 2010 |
| Arabic Image Captioning: The Effect of Text Pre-processing on the Attention Weights and the BLEU-N Scores MTLNH Barakat International Journal of Advanced Computer Science and Applications(IJACSA …, 2022 | 9* | 2022 |
| A framework for integrating software design patterns with game design framework NH Barakat Proceedings of the 8th International Conference on Software and Information …, 2019 | 7 | 2019 |
| Rule-extraction from support vector machines: medical diagnosis, prediction and explanation NH Barakat | 7 | 2007 |
| Mission Possible: A gamified approach to handle cancer survivors stress AA Shalaby, N Barakat 2017 European Conference on Electrical Engineering and Computer Science …, 2017 | 4 | 2017 |
| Diagnosis of Metabolic Syndrome: A Diversity Based Hybrid Model N Barakat International Conference on Machine Learning and Data Mining in Pattern …, 2016 | 4 | 2016 |
| Cascade Generalization: One versus Many. NH Barakat J. Comput. 12 (3), 238-249, 2017 | 2 | 2017 |
| Feature ranking utilizing support vector machines' SVs N Barakat Third International Conference on Innovative Computing Technology (INTECH …, 2013 | 2 | 2013 |
| Knowledge initialisation for support vector machines J Diederich, N Barakat | 2 | 2004 |
