E-mail:    zakaryafarou (at) inf (dot) elte (dot) hu

Links:                  

Short biography

After finishing his MSc studies with honors at ELTE and obtained his Master’s degree in computer science, Zakarya joined the Department of Data Science and Engineering as a Ph.D. student in Data Science. He started his studies in Hungary after graduating from 08 May 1945 Guelma University with honors and obtained a Bachelor’s degree in Information and Computer Systems.

Research interests:  Imbalance Learning, Machine Learning, Data Augmentation, and Smart Systems.

Publications @ELTE:

A. Taan, Z. Farou: “Supervised Learning Methods for Skin Segmentation Based on Pixel Color Classification”. In: Central-European Journal of New Technologies in Research, Education and Practice, Volume 3, Number 1, 2021, ISSN 2676-9425, p: 60-74. (link to the article)

Z. Farou, N. Mouhoub, T. Horváth: “Data Generation Using Gene Expression Generator”. In: Yin, Hujun; Camacho, David; Novais, Paulo; Analide, Cesar (eds.) Intelligent Data Engineering and Automated Learning – IDEAL 2020 Springer International Publishing, (2020) pp. 54-65. Paper: Chapter 6. (link to the article)

Z. Farou,  K. Buza: “The Warping Window Size Effects the Accuracy of Person Identification based on Keystroke Dynamics”. In: Petra, Barančíková; Martin, Holeňa; Tomáš, Horváth; Matúš, Pleva; Rudolf, Rosa (eds.) Proceedings of the 19th Conference Information Technologies – Applications and Theory (ITAT 2019) Dóval, Czechoslovakia: CEUR Workshop Proceedings, (2019) pp.84-89. (link to the article)