Dr. Benyettou Abdelkader
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Dr. Benyettou Abdelkader

Professor
Département d'informatique. Institut des Sciences et de la Technologie, Centre Universitaire de Relizane, Algeria

Highest Degree
Ph.D. in Telecommunications from Oran University of Science and Technology - Mohamed Boudiaf, Algeria

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Biography

Abdelkader Benyettou received his engineering degree in 1982 from the Institute of Telecommunications and the MSc/PhD in electrical engineering degrees in 1986/1993 from the University of Sciences and Technology of Oran-USTO, Algeria. From 1987-1991, he joined the Computer Sciences Research Center of Nancy, France, and prepared his PhD thesis on Arabic speech recognition by expert systems (ARABEX). From 1988-1990, he was an assistant Professor in the department of Computer Sciences, Metz University, and Nancy-I University. He founded and was researcher director of the Signal-Speech-Image– SIMPA laboratory, department of computer sciences, USTOran, since 2002 to 2018. He is actually a full professor since 2002 at Computer Science Department, Institute of Science and Technology, University Center of Relizane, Algeria, and thesis director of more than 35 PhDs supported in Pattern Recognition and Artificial Intelligence. He published approximately 160 papers in refereed conferences or journals or as contributions in books. His research interests are in the area of speech/image processing, Arabic speech recognition, neural networks, machine learning, artificial immune system, bio-inspired computing, deeplearning and AIOps.

Area of Interest:

Computer Sciences
100%
Data Science
62%
AI + Signal Processing
90%
Machine Learning
75%
Deep Neural Network
55%

Research Publications in Numbers

Books
1
Chapters
3
Articles
103
Abstracts
51

Selected Publications

  1. Souahlia, A., A. Belatreche, A. Benyettou, Z. Ahmed-Foitih, E. Benkhelifa and K. Curran, 2020. Echo state network-based feature extraction for efficient color image segmentation. Concurrency and Computation: Practice and Experience, 10.1002/cpe.5719 http://dx.doi.org/10.1002/cpe.5719.
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  2. Souahlia, A., A. Belatreche, A. Benyettou, Z. Ahmed-Foitih, E. Benkhelifa and K. Curran, 2020. Echo state network-based feature extraction for efficient color image segmentation. Concurrency Computat Pract Exper 32: e5719-e5719.
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  3. Moghdani, R., K. Salimifard, E. Demir and A. Benyettou, 2020. Multi-Objective Volleyball Premier League algorithm. Knowledge-Based Systems 10.1016/j.knosys.2020.105781 http://dx.doi.org/10.1016/j.knosys.2020.105781.
    CrossRef  |  
  4. Moghdani, R., K. Salimifard, E. Demir and A. Benyettou, 2020. Multi-Objective Volleyball Premier League algorithm. Knowledge-Based Systems 196: 105781-105781.
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  5. Besnassi, M., N. Neggaz and A. Benyettou, 2020. Face detection based on evolutionary Haar filter. Pattern Analysis and Applications, 23: 309-330.
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  6. Yedjour, H., B. Meftah, D. Yedjour and A. Benyettou, 2019. The leaky integrate-and-fire neuron model for a rigid and a non-rigid object tracking. Int. Conf. Software Eng. New Technol., 10.1145/3330089.3330096.
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  7. Triqui, B. and A. Benyettou, 2019. Semi-Supervised Kohonen Map for Cardiac Anomalies Detection. Int. Rev. Modelling and Simulation, 12: 196-196.
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  8. Hiba, K., B. Abdelkader and A. Kacem, 2019. The incremental artificial immune system for arabic handwritten recognition. J. Inform. Technol. Res., 12: 88-106.
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  9. Besnassi, M., N. Neggaz and A. Benyettou, 2019. Face detection based on evolutionary Haar filter. Pattern. Anal. Applic. 23: 309-330.
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  10. Yedjour, D., A. Benyettou and H. Yedjour, 2018. Symbolic interpretation of artificial neural networks using genetic algorithms. TURKISH J. ELECTRICAL ENGIN. COMP. SCI., 26: 2465-2475.
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  11. Yedjour D. and A. Benyettou, 2018. Symbolic interpretation of artificial neural networks based on multiobjective genetic algorithms and association rules mining. Appl. Soft Comp., 72: 177-188.
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  12. Triqui, B. and A. Benyettou, 2018. Optimization of medical data transfer from the MIT-BIH arrhythmia database to the learning machine. UCER-B 10.17265/2161-6248/2017.10.004.
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  13. Mezzoudj, F., D. Langlois, D. Jouvet and A. Benyettou, 2018. Textual data selection for language modelling in the scope of automatic speech recognition. Procedia Comp. Sci., 128: 55-64.
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  14. Yedjour, H., B. Meftah, O. Lézoray and A. Benyettou, 2017. Edge detection based on hodgkin–huxley neuron model simulation. Cognitive Processing, 18: 315-323.
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  15. Tlemsani, R., S. Benbakreti and A. Benyettou, 2017. On-line arabic characters recognition using enhanced time delay neural networks. Int. J. Communic. Antenna and Propagation, 7: 254-264.
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  16. Medjahed, S.A., T. A. Saadi, A. Benyettou and M. Ouali, 2017. Microcanonical annealing and threshold accepting for parameter determination and feature selection of support vector machines. CIT. J. Comput. Inf. Technol., 24: 369-382.
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  17. Hachemi-Benziane, S. and A. Benyettou, 2017. On the influence of anisotropic diffusion filter on dorsal hand authentication using eigenveins. Multidimens. Syst. Signal Process., (In Press). 10.1007/s11045-017-0514-8.
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  18. Souahlia, A., A. Belatreche, A. Benyettou and K. Curran, 2016. An experimental evaluation of echo state network for colour image segmentation. Int. Joint Conf. Neural Networks, 10.1109/IJCNN.2016.7727326.
    CrossRef  |  Direct Link  |  
  19. Rebbah, M., Y. Slimani, A. Benyettou and L. Brunie, 2016. A decentralized fault tolerance model based on level of performance for grid environment. Cluster Comput. J., 9: 13-27.
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  20. Meftah, B., O. Lézoray and A. Benyettou, 2016. Novel approach using echo state networks for microscopic cellular image segmentation. Cogn. Comput., 8: 237-245.
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  21. Medjahed, S.A., T.A. Saadi, A. Benyettou and M. Ouali, 2016. Kernel-based learning and feature selection analysis for cancer diagnosis. Appl. Soft Comput., 51: 39-48.
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  22. Medjahed, S.A., T.A. Saadi, A. Benyettou and M. Ouali, 2016. A new post-classification and band selection frameworks for hyperspectral image classification. Egypt. J. Remote Sens. Space Sci., 19: 163-173.
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  23. Hendel, M., A. Benyettou and F. Hendel, 2016. Hybrid self organizing map and probabilistic quadratic loss multi-class support vector machine for mental tasks classification. Inf. Med. Unlocked, 4: 1-9.
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  24. Medjahed, S.A., T.A. Saadi and A. Benyettou, 2015. Urinary system diseases diagnosis using machine learning techniques. Int. J. Intell. Syst. Appl., 10.5815/ijisa.2015.05.01.
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  25. Medjahed, S.A., M. Ouali, T.A. Saadi and A. Benyettou, 2015. An optimization-based framework for feature selection and parameters determination of SVMs. Int. J. Inf. Technol. Comput. Sci., 7: 1-9.
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  26. Medjahed, S.A. T.A. Saadi, A. Benyettou and M. Ouali, 2015. Gray Wolf Optimizer for hyperspectral band selection. Applied Soft Comput., 40: 178-186.
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  27. Silarbi, S., B. Abderrahmane and A. Benyettou, 2014. Adaptive network based fuzzy inference system for speech recognition through subtractive clustering. Int. J. Artif. Intell. Appl., 5: 43-52.
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  28. Redhouane, L., B. Sarah, B. Abdelkader, 2014. Dorsal hand vein pattern feature extraction with wavelet transforms. International Symposium on Networks, Computers and Communications.
  29. Rebbah, M., Y. Slimani, A. Benyettou, and L. Brunie, 2014. Reliable fault tolerant model for grid computing environments. Multiagent Grid Syst.-Int. J., 10: 213-232.
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  30. Lotfi, A. and A. Benyettou, 2014. A reduced probabilistic neural network for the classification of large databases. Turk. J. Elec. Eng. Comp. Sci., 22: 979-989.
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  31. Benyettou, N., A. Benyettou and V. Rodin, 2014. An immune agents system for network intrusions detection. Comp. Sci. Inf. Technol., 10.5121/csit.2014.41101.
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  32. Bendoukha, H., Y. Slimani and A. Benyettou, 2014. A novel framework for defining and submitting workflows to service-oriented systems. J. Info. Process. Syst., 10: 365-383.
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  33. Brahmi, A., A. Ech-Cherif and A. Benyettou, 2011. Arabic texts analysis for topic modeling evaluation. Inf. Retrieval, 15: 33-53.
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  34. Ourdighi, A. and A. Benyettou, 2010. An adaptive time-delay neural network training using parallel genetic algorithms in time-series prediction and classification. J. Applied Sci., 10: 2115-2120.
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  35. Meftah, B., O. Lezoray and A. Benyettou, 2010. Segmentation and edge detection based on spiking neural network model. Neural Process. Lett., 32: 131-146.
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  36. Lotfi, A., K. Mezzoug and A. Benyettou, 2010. Rotated kernel neural networks for radar target detection in background noise. J. Applied Sci., 10: 1331-1335.
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  37. Neggaz, N. and A. Benyettou, 2009. Hybrid models based on biological approaches for speech recognition. Artificial Intel. Rev., 32: 45-57.
    CrossRef  |  Direct Link  |  

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