Nahla H. Barakat

Orcid: 0000-0003-0826-1590

According to our database1, Nahla H. Barakat authored at least 13 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Adaptive Learning and Virtual Reality based Conceptual Framework for Dental Training.
Proceedings of the International Conference on Computer and Applications, 2023

Data and Model Centric Approaches for Card Fraud Detection.
Proceedings of the International Conference on Computer and Applications, 2023

2019
A Framework for integrating software design patterns with game design framework.
Proceedings of the 2019 8th International Conference on Software and Information Engineering, 2019

2018
Intelligent Alarm System to Protect Small, Valuable Items.
Proceedings of the 2018 International Conference on Computer and Applications (ICCA), 2018

2017
Cascade Generalization: One versus Many.
J. Comput., 2017

2016
Diagnosis of Metabolic Syndrome: A Diversity Based Hybrid Model.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

2010
Intelligible support vector machines for diagnosis of diabetes mellitus.
IEEE Trans. Inf. Technol. Biomed., 2010

Rule extraction from support vector machines: A review.
Neurocomputing, 2010

Cascade generalization: Is SVMs' inductive bias useful?
Proceedings of the IEEE International Conference on Systems, 2010

2009
The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

2007
Rule-extraction from support vector machines: medical diagnosis, prediction and explanation
PhD thesis, 2007

Rule Extraction from Support Vector Machines: A Sequential Covering Approach.
IEEE Trans. Knowl. Data Eng., 2007

2006
Rule Extraction from Support Vector Machines: Measuring the Explanation Capability Using the Area under the ROC Curve.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006


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