Zakarya Farou

Name:     Zakarya Farou
Position: Ph.D. Student
Room:     7.25
Phone:    +36 70 236 9670
E-mail:    zakaryafarou (at) inf (dot) elte (dot) hu mail

Links:      mtmt   ORCID    googlescholar    rg    Linkedin

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)


 

Contact

ELTE University - Faculity of Informatics
Data Science and Engineering Department


Adress:
1117 Budapest,
Pázmány Péter str. 1/A
Northern Building
Telephone
+36-1-372-2500 ext. 8673
Postal Adress
1518 Budapest, P. O. Box 120.
MAP