Balázs Tusor, PhD. Name: Balázs Tusor, PhD. Faculty: Faculty of Economics and Informatics Department: Department of Informatics Position: Researcher Office: TP1 E-mail: Phone +421 35 32 60 853 CV Research Publications Other informations University studies Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics Informatics 2005 - 2010 Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics Informatics 2010 - 2014 PhD. study Doctoral School of Applied Informatics and Applied Mathematics, Óbuda University 2014 - 2017 Employment Part-time, with a contract Researcher 2016 - 2017 Full-time, with a contract Researcher 2017 - 2025 Research area My main research area is the development and implementation of new machine learning methods for classification problems. The methods I have designed so far are based on the combination of the working principles of lookup tables and fuzzy logic, and their goal is to process input data as quickly as possible (with as few calculations as possible, thus with low computational requirements). A loosely related secondary research area of mine is the rapid detection of functional dependencies in datasets, for which my lookup table-based classifiers are well suited, since their structure indicates the functional dependencies occurring in the dataset used for training. Research projects Modern, complex and innovative research activity at the Faculty of Economics of Selye J. University Pallas Athéné Domus Educationis Alapítvány 2019 - 2020 Download
