Login
 Forum
 
 
Personal data sheet
 Print preview
personal data approved: 2024. I. 09.
Personal data
Gábor Kertész
name Gábor Kertész
name of institution
doctoral school
OE Doctoral School of Applied Informatics and Applied Mathematics (Supervisor)
OE Doctoral School of Innovation Management (Announcer of research topic)
the share of work in the different doctoral schools. OE Doctoral School of Applied Informatics and Applied Mathematics 100%
accreditation statement submitted to: Universitas Budensis
Academic title
scientific degree, title Ph.D.
year degree was obtained 2019
discipline to which degree belongs computer sciences
institution granting the degree Obuda University
Employment
2021 - Universitas Budensis
other (not specified) (egyetemi docens)
2019 - Számítástechnikai és Automatizálási Kutatóintézet (SZTAKI)
other (not specified) (tudományos munkatárs)
Thesis topic supervisor
number of doctoral students supervised until now 1
number of students who fulfilled course requirements 0
students who obtained their degrees:
present PhD students:
Zhyar Rzgar Kwekha Rostam (PhD) (2027/08)  DSAIAM
(50%) Attila Farkas (PhD) (2024/08)  DSAIAM
(50%) Farida Asadova (PhD) (2024/08)  DSAIAM
  Thesis topic proposals
Research
research area deep metric learning, parallel processing and application of deep neural networks
research field in which current research is conducted computer sciences
Publications
2022

Almásy M Gy, Hörömpő A, Kiss D, Kertész G: A review on modeling tumor dynamics and agent reward functions in reinforcement learning based therapy optimization, JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 43: (6) pp. 6939-6946.
type of document: Journal paper/Article
language: English
URL 
2022

Gulyás Oldal Laura, Kertész Gábor: Evaluation of Deep Learning-based Authorship Attribution Methods on Hungarian Texts, In: Szakál, Anikó (szerk.) IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems ICCC 2022, IEEE Hungary Section (2022) pp. 161-166.
type of document: Part of book/Proceedings Paper
language: English
2022

Gábor Kertész: Deep Metric Learning Using Negative Sampling Probability Annealing, SENSORS 22: (19) 7579
type of document: Journal paper/Article
language: English
URL 
2021

Szénási Sándor, Kertész Gábor, Felde Imre, Nádai László: Statistical accident analysis supporting the control of autonomous vehicles, JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 21: (1) pp. 85-97.
type of document: Journal paper/Article
number of independent citations: 7
language: English
URL 
2021

Kertész Gábor, Szénási Sándor, Vámossy Zoltán: Comparative Analysis of Image Projection-based Descriptors in Siamese Neural Networks, ADVANCES IN ENGINEERING SOFTWARE 154: p. 102963.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL 
2020

Kertész Gábor: Metric Embedding Learning on Multi-Directional Projections, ALGORITHMS 13: (6) 133
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2020

Kiss Dániel, Kertész Gábor, Jaskó Máté, Szénási Sándor, Lovrics Anna, Vámossy Zoltán: Evaluation of colony formation dataset of simulated cell cultures, ANNALES MATHEMATICAE ET INFORMATICAE 51: pp. 41-52.
type of document: Journal paper/Article
language: English
URL 
2019

Gábor Kertész, Sándor Szénási, Zoltán Vámossy: Distributed training and evaluation of projection-based descriptors in Siamese Neural Networks, In: P., Iványi; B. H., V. Topping (szerk.) Proceedings of the Sixth International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering, Civil-Comp Press (2019) pp. 1-12.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2018

Gábor Kertész, Sándor Szénási, Zoltán Vámossy: Multi-Directional Image Projections with Fixed Resolution for Object Matching, ACTA POLYTECHNICA HUNGARICA 15: (2) pp. 211-229.
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL 
2017

Gábor Kertész, Sándor Szénási, Zoltán Vámossy: Application and properties of the Radon transform for object image matching, In: Szakál, A (szerk.) 2017 IEEE 15TH INTERNATIONAL SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI), IEEE (2017) pp. 353-358.
type of document: Part of book/Proceedings Paper
number of independent citations: 5
language: English
URL 
Number of independent citations to these publications:29 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
40
number of scientific publications:
40
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
80
Supervision
thesis supervisor Zoltán Vámossy
co-supervisor Sándor Szénási
one supervisor or with co-supervisor co-supervisor
degree PhD
starting of doctoral studies 2015
date of final certificate (year,month) 2018/01
year in which degree was obtained 2019
diszertáció Main findings in the thesis (in Hungarian)Main findings in the thesis (in English)The thesis
data of the public discussion defense

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )