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 | 286 | 2010 |
Rule extraction from support vector machines: a review N Barakat, AP Bradley Neurocomputing 74 (1-3), 178-190, 2010 | 196 | 2010 |
Eclectic rule-extraction from support vector machines N Barakat, J Diederich International Journal of Computational Intelligence 2 (1), 59-62, 2005 | 148 | 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 | 100 | 2007 |
Learning-based rule-extraction from support vector machines N Barakat, J Diederich not found, 2004 | 74 | 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 | 50 | 2006 |
Learning-based rule-extraction from support vector machines: performance on benchmark data sets N Barakat, J Diederich | 24 | 2004 |
Hybrid rule-extraction from support vector machines J Diederich, N Barakat IEEE Conference on Cybernetics and Intelligent Systems, 2004. 2, 1271-1276, 2004 | 12 | 2004 |
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 | 8 | 2010 |
Rule-extraction from Support Vector Machines: Medical Diagnosis, Prediction and Explanation NH Barakat | 7 | 2007 |
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 | 6 | 2019 |
Cascade generalization: Is SVMs' inductive bias useful? N Barakat 2010 IEEE International Conference on Systems, Man and Cybernetics, 1393-1399, 2010 | 6 | 2010 |
Intelligent Alarm System to Protect Small, Valuable Items A El Kashef, N Barakat 2018 International Conference on Computer and Applications (ICCA), 326-330, 2018 | 4 | 2018 |
Mission possible: A gamified approach to handle cancer survivors stress AA Shalaby, N Barakat 2017 European Conference on Electrical Engineering and Computer Science …, 2017 | 3 | 2017 |
Diagnosis of Metabolic Syndrome: A Diversity Based Hybrid Model N Barakat International Conference on Machine Learning and Data Mining in Pattern …, 2016 | 3 | 2016 |
Knowledge initialisation for support vector machines J Diederich, N Barakat | 2 | 2004 |
A Framework for integrating software design patterns with game design framework NH Barakat Proceedings of the 2019 8th International Conference on Software and …, 2019 | 1 | 2019 |
Cascade Generalization: One versus Many. N Barakat JCP 12 (3), 238-249, 2017 | 1 | 2017 |
Feature ranking utilizing support vector machines' svs N Barakat Third International Conference on Innovative Computing Technology (INTECH …, 2013 | 1 | 2013 |
The effect of domain knowledge on rule extraction from support vector machines N Barakat, AP Bradley International Workshop on Machine Learning and Data Mining in Pattern …, 2009 | | 2009 |