|Name: Gabor Szegedi
Position: Assistant research fellow
E-mail: wayasam (at) gmail (dot) com
Gabor joined the department as a Research Assistant after finishing his MSc studies at ELTE. He wrote his thesis about Neuroevolution application in the field of Federated Learning. After finishing his thesis he and Tomáš also felt that there is more work to be done about his research.
Before joining the department Gabor worked in the industry for 5 years as Java Developer at Morgan Stanley and Oracle.
He is primarily interested in Machine Learning industry applications, Neural Networks, and Evolutionary Algorithms.
Research interests: Federated Learning, and Neuroevolution.
G. Szegedi, D. Bajdikné Veres, I. Lendák, T. Horváth: “Context-based Information Classification on Hungarian Invoices”. In: Martin, Holeňa; Tomáš, Horváth; Alica, Kelemenová; František, Mráz; Dana, Pardubská; Martin, Plátek; Petr, Sosík (ed.) Proceedings of the 20th Conference Information Technologies – Applications and Theory (ITAT 2020) CEUR Workshop Proceedings, (2020) pp. 147-151. (link to article)
G. Szegedi, P. Kiss, T. Horváth: “Evolutionary Federated Learning on EEG data”. In: Petra, Barančíková; Martin, Holeňa; Tomáš, Horváth; Matúš, Pleva; Rudolf, Rosa (ed.) Proceedings of the 19th Conference Information Technologies – Applications and Theory (ITAT 2019) Donovaly, Czechoslovakia: CEUR Workshop Proceedings, (2019) pp. 71-78. (link to article)