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personal data approved: 2018. VI. 04.
Personal data
Gábor Szűcs
name Gábor Szűcs
name of institution
doctoral school
BME Doctoral School of Informatics (Supervisor)
BME Doctoral School of Electrical Engineering (Academic staff member)
the share of work in the different doctoral schools. BME Doctoral School of Informatics 67%
BME Doctoral School of Electrical Engineering 33%
Contact details
E-mail address szucstmit.bme.hu
phone number +36 1 463-1417
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2002
discipline to which degree belongs computer sciences
institution granting the degree Budapesti Műszaki és Gazdaságtudományi Egyetem (to be translated)
Employment
1998 - Budapest University of Technology and Economics
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 2
number of students who fulfilled course requirements 0
students who obtained their degrees:
present PhD students:
Borbála Marosvári (PhD) (2020/08)  DSI-BME
Dávid Papp (PhD) (2019/01)  DSI-BME
  Thesis topic proposals
Research
research area discrete simulation, artificial intelligence, transport systems, decision theory, data mining, information retrieval, multimedia mining
research field in which current research is conducted computer sciences
Publications
2017

Szucs G, Papp D: Content-Based Image Retrieval for Multiple Objects Search, CYBERNETICS AND INFORMATION TECHNOLOGIES 17: (2) pp. 106-118.
type of document: Journal paper/Article
language: English
DOI 
2017

Dávid Papp, Gábor Szűcs: Balanced Active Learning Method for Image Classification, ACTA CYBERNETICA 23: (2) pp. 645-658.
type of document: Journal paper/Article
language: English
Full text 
2017

Dávid Papp, Gábor Szűcs: MMKK++ algorithm for clustering heterogeneous images into an unknown number of clusters, ELECTRONIC LETTERS ON COMPUTER VISION AND IMAGE ANALYSIS 16: (3) pp. 30-45.
type of document: Journal paper/Article
language: English
URL 
2016

Bálint Pál Tóth, Márton Osváth, Dávid Papp, Gábor Szücs: Deep Learning and SVM Classification for Plant Recognition in Content-Based Large Scale Image Retrieval, In:Szerk.: Krisztian Balog, Szerk.: Linda Cappellato, Szerk.: Nicola Ferro, Szerk.: Craig Macdonald Working Notes of Conference and Labs of the Evaluation Forum.Évora, Portugália, 2016.09.05-2016.09.08. pp. 569-578. Kiadvány: 2016. (CEUR Workshop Proceedings; 1609.)
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 3
language: English
2015

Szűcs Gábor: Decision Support for Route Search and Optimum Finding in Transport Networks under Uncertainty, JOURNAL OF APPLIED RESEARCH AND TECHNOLOGY 13: (1) pp. 125-134.
type of document: Journal paper/Article
language: English
Full text 
2013

Szűcs Gábor: Decision Trees and Random Forest for Privacy-Preserving Data Mining, In: Szerk.: Tarnay Katalin, Szerk.: Imre Sándor, Szerk.: Xu Lai Research and Development in E-Business through Service-Oriented Solutions. Hershey (PA): Business Science Reference, 2013. pp. 71-90. (Advances in e-business research (AEBR) book series)
type of document: Part of book/Könyvfejezet (to be translated)
language: English
DOI 
2012

Szűcs Gábor: Route planning based on uncertain information in transport networks, TRANSPORT (VILNIUS) 27: (1) pp. 79-85.
type of document: Journal paper/Article
number of independent citations: 5
language: English
DOI 
2010

Szűcs Gábor, Sallai Gyula: Joining Analytic Network Process and Bayesian Network Model for Fault Spreading Problem, In: Rebai, A Bayesian Network. Rijeka: SCIYO, 2010. pp. 199-212.
type of document: Part of book/Könyvfejezet (to be translated)
language: English
URL 
2009

Szűcs Gábor: Developing Co-operative Transport System and Route Planning, TRANSPORT (VILNIUS) 24: (1) pp. 21-25.
type of document: Journal paper/Article
number of independent citations: 13
language: English
DOI 
1998

Jávor A, Szűcs G: Simulation and Optimization of Urban Traffic using AI, MATHEMATICS AND COMPUTERS IN SIMULATION 46: pp. 13-21.
type of document: Journal paper/Article
number of independent citations: 5
language: English
DOI 
Number of independent citations to these publications:26 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
92
number of scientific publications:
98
monographs and professional books:
1
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
66

 
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. )