József Sütő - ODT Personal data sheet


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Personal data sheet

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VALIDITY EXPIRED
personal data approved: 2022. II. 06.

Personal data

name	József Sütő
name of institution	University of Debrecen
doctoral school	DE Doctoral School of Informatics (Academic staff member Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki. )
the share of work in the different doctoral schools.	DE Doctoral School of Informatics 100%
accreditation statement submitted to:	University of Debrecen

Contact details
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2018
discipline to which degree belongs	computer sciences
institution granting the degree	University of Debrecen

Employment
2017 -	University of Debrecen university professor or researcher

Thesis topic supervisor
number of doctoral students supervised until now	0
number of students who fulfilled course requirements	0
students who obtained their degrees:

Research
research area	machine learning, digital signal processing, embedded systems
research field in which current research is conducted	computer sciences

Publications

2021

Sütő József: Embedded System-Based Sticky Paper Trap with Deep Learning-Based Insect-Counting Algorithm, ELECTRONICS 10: (15) pp. 1-13.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL

2020

Sütő József, Oniga István László, Lung Claudiu, Orha Ioan: Comparison of offline and real-time human activity recognition results using machine learning techniques, NEURAL COMPUTING & APPLICATIONS 32: pp. 15673-15686.
type of document: Journal paper/Article
number of independent citations: 18
language: English
URL

2019

Suto Jozsef, Oniga Stefan: Efficiency investigation from shallow to deep neural network techniques in human activity recognition, COGNITIVE SYSTEMS RESEARCH 54: pp. 37-49.
type of document: Journal paper/Article
number of independent citations: 16
language: English
URL

2018

Sütő J, Oniga I: Efficiency investigation of artificial neural networks in human activity recognition., JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 9: (4) pp. 1049-1060.
type of document: Journal paper/Article
number of independent citations: 28
language: English
URL

2018

Sütő József, Oniga István László: Music stimuli recognition in electroencephalogram signal, ELEKTRONIKA IR ELEKTROTECHNIKA 24: (4) pp. 68-71.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL

2017

Suto J, Oniga S, Sitar PP: Feature Analysis to Human Activity Recognition, INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL 12: (1) pp. 116-130.
type of document: Journal paper/Article
number of independent citations: 26
language: English
URL

2016

Oniga Stefan, Suto Jozsef: Activity Recognition in Adaptive Assistive Systems Using Artificial Neural Networks, ELEKTRONIKA IR ELEKTROTECHNIKA 22: (1) pp. 68-72.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL

2016

Suto Jozsef, Oniga Stefan, Sitar Petrica Pop: Comparison of wrapper and filter feature selection algorithms on human activity recognition, In: I, Dzitac; F G, Filip; M J, Manolescu (szerk.) Computers Communications and Control (ICCCC), 2016 6th International Conference on, IEEE (2016) pp. 124-129.
type of document: Part of book/Proceedings Paper
number of independent citations: 43
language: English
URL

2015

Oniga István (Stefan Oniga), József Sütő: Optimal Recognition Method of Human Activities Using Artificial Neural Networks, MEASUREMENT SCIENCE REVIEW 15: (6) pp. 323-327.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL

2014

Oniga István (Stefan Oniga), Sütő József: Human activity recognition using neural networks, In: Petráš, Ivo; Podlubny, Igor; Kačur, Ján; Farana, Radim (szerk.) 2014 15th International Carpathian Control Conference (ICCC), IEEE (2014) pp. 403-406.
type of document: Part of book/Proceedings Paper
number of independent citations: 54
language: English
URL

Number of independent citations to these publications:

206

Scientometric data

list of publications and citations

number of scientific publications that meet accreditation criteria:

number of scientific publications:

monographs and professional books:

monographs/books in which chapters/sections were contributed:

scientific publications published abroad that meet the accreditation criteria:

publications not in Hungarian, published in Hungary, meeting the accreditation criteria:

number of independent citations to scientific publications and creative works:

243

Supervision
thesis supervisor	István Oniga
one supervisor or with co-supervisor	individual
degree	PhD
starting of doctoral studies	2014
date of final certificate (year,month)	2017/08
year in which degree was obtained	2018
diszertáció	Doi/handle link (thesis, statements)
data of the public discussion	defense

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).