Martina Toshesk\u0430 was born in Skopje. She completed her elementary and secondary education in Skopje with consistently excellent results. In 2014, she enrolled at the Faculty of Informatics and Computer Engineering in Skopje, in the Computer Science and Engineering program. During her studies, she was recognized as one of the top students at FINK. She graduated in 2018 with a grade point average of 9.70, with a thesis on the topic \u201eCreating Descriptions of Medical Images with Techniques of
\ndeep learning\u201c. In 2018, she enrolled in graduate studies at the Faculty of Informatics and Computer Engineering in Skopje in the Intelligent Systems program. She graduated with a master's degree in 2019 with a grade point average of 10.00, with a thesis titled \u201eAutomatic Creation of Stylized Text with Deep Neural Architectures.\u201c In 2020, she enrolled in doctoral studies at the Faculty of Informatics and Computer Engineering in Skopje, in the field of Computer Science and Engineering.<\/p>\n
During her studies, she worked as a machine learning intern at \u201eNetcetera\u201c. In 2017, she was selected as a demonstrator at the Faculty of Informatics and Computer Engineering in Skopje, and in 2022, she obtained the title of assistant-doctoral student. Her teaching responsibilities included conducting classroom and laboratory exercises for courses such as: Artificial
\nintelligence, Databases, Natural Language Processing, Intelligent Information Systems, Agent-Based Systems, Knowledge Discovery with Deep Learning, Virtual Societies, Graph Theory and Social Networks, Research Methodology in ICT, and Object-Oriented Analysis and Design.<\/p>\n
She is the author of several scientific papers published at national and international conferences. Her research interests include artificial intelligence, deep learning, natural language processing, graph data analysis, machine vision, data mining, databases, and more.<\/p>\n
Review – LINK<\/a><\/strong>.
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