Obserwuj
Nahla Barakat
Nahla Barakat
Zweryfikowany adres z bue.edu.eg
Tytuł
Cytowane przez
Cytowane przez
Rok
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
4442010
Rule extraction from support vector machines: a review
N Barakat, AP Bradley
Neurocomputing 74 (1-3), 178-190, 2010
2612010
Eclectic rule-extraction from support vector machines
N Barakat, J Diederich
International Journal of Computational Intelligence 2 (1), 59-62, 2005
1852005
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
1372007
Learning-based rule-extraction from support vector machines
N Barakat, J Diederich
not found, 2004
772004
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
592006
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
282019
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
242004
Hybrid rule-extraction from support vector machines
J Diederich, N Barakat
IEEE Conference on Cybernetics and Intelligent Systems, 2004. 2, 1271-1276, 2004
152004
Intelligent alarm system to protect small, valuable items
A El Kashef, N Barakat
2018 International Conference on Computer and Applications (ICCA), 326-330, 2018
102018
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
102010
Cascade generalization: Is SVMs' inductive bias useful?
N Barakat
2010 IEEE International Conference on Systems, Man and Cybernetics, 1393-1399, 2010
92010
A Framework for integrating software design patterns with game design framework
NH Barakat
Proceedings of the 8th International Conference on Software and Information …, 2019
62019
Arabic image captioning: the effect of text pre-processing on the attention weights and the BLEU-N scores
MT Lasheen, NH Barakat
Int J Adv Comput Sci Appl 13 (7), 11, 2022
52022
Rule-extraction from Support Vector Machines: Medical Diagnosis, Prediction and Explanation
NH Barakat
52007
Mission Possible: A gamified approach to handle cancer survivors stress
AA Shalaby, N Barakat
2017 European Conference on Electrical Engineering and Computer Science …, 2017
42017
Diagnosis of Metabolic Syndrome: A Diversity Based Hybrid Model
N Barakat
International Conference on Machine Learning and Data Mining in Pattern …, 2016
42016
Cascade Generalization: One versus Many.
NH Barakat
J. Comput. 12 (3), 238-249, 2017
22017
Feature ranking utilizing support vector machines' SVs
N Barakat
Third International Conference on Innovative Computing Technology (INTECH …, 2013
22013
Knowledge initialisation for support vector machines
J Diederich, N Barakat
22004
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20