Roguia Siouda » University of Souk Ahras

ROGUIA SIOUDA received her bachelor\\\'s degree in computer science with honors in 2015, from the university of Souk-Ahras, Algeria, and her master’s degree in web and artificial intelligence from the university of Souk-Ahras, Algeria, in 2017. She received her Ph.D. degree in computer science from the university of 8 Mai 1945, Guelma-Algeria, in 2022. She is an assistant professor at Mohamed-Cherif Messaadia university - Souk-Ahras. Her research interests include artificial intelligence, machine learning, artificial neural network and pattern recognition.

Journals

[1]	Roguia Siouda, MOHAMED NEMISSI and HAMID SERIDI (2022) A random deep neural system for heartbeat classification. Evolving Systems , 14(1868-6486), 37-48, Springer

[2]	Roguia Siouda, MOHAMED NEMISSI and HAMID SERIDI (2022) Diverse activation functions based-hybrid RBF-ELM neural network for medical classification. Evolutionary Intelligence , (1864-5917), 1-17, Springer

[3]	Roguia Siouda, MOHAMED NEMISSI and HAMID SERIDI (2021) ECG beat classification using neural classifier based on deep autoencoder and decomposition techniques. Progress in Artificial Intelligence , 10(2192-6360), 333-347, Springer

[4]	Roguia Siouda and MAHAMED NEMISSI (2018) An Optimized RBF-Neural Network for Breast Cancer Classification. International Journal of Informatics and Applied Mathematics , 1(2667-6990), 24-34, International Society of Academicians

Conferences

[1]	Roguia Siouda, MOHAMED NEMISSI and HAMID SERIDI (2020) A genetic algorithm-based deep RBF neural network for medical classification. The 1st international conference on intelligent systems and pattern recognition , Tunis

Other Publications

[1]	Roguia Siouda (2022) Pattern recognition using collaborative neural networks. 8 Mai 1945 Guelma, Algeria

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