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personal data approved: 2019. III. 29.
Personal data
József Sütő
name József Sütő
name of institution
doctoral school
DE Doctoral School of Informatics (Academic staff member)
accreditation statement submitted to: University of Debrecen
Contact details
phone number +36 52 512-900/75015
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
research field in which current research is conducted computer sciences
Publications
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
language: English
2018

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 [Epub ahead of print]: pp. [1-14].
type of document: Journal paper/Article
language: English
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
language: English
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: 3
language: English
URL 
2017

Sütő J, Oniga I: Efficiency investigation of artificial neural networks in human activity recognition., JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING Epub:
type of document: Journal paper/Article
number of independent citations: 1
language: English
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: 4
language: English
2015

Suto J, Oniga István (Stefan Oniga): A new relation between "twiddle factors" in the fast Fourier transformation, ELEKTRONIKA IR ELEKTROTECHNIKA 21: (4) pp. 56-59.
type of document: Journal paper/Article
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: 2
language: English
URL 
2015

Suto J, Oniga István (Stefan Oniga), Buchman A: Real time human activity monitoring, ANNALES MATHEMATICAE ET INFORMATICAE 44: pp. 187-196.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2014

Oniga István (Stefan Oniga), Sütő József: Human activity recognition using neural networks, In: Ivo, Petráš; Igor, Podlubny; Ján, Kačur; Radim, Farana (szerk.) Proceedings of the 2014 15th International Carpathian Control Conference (ICCC), IEEE (2014) pp. 403-406.
type of document: Part of book/Proceedings Paper
number of independent citations: 19
language: English
Number of independent citations to these publications:31 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
18
number of scientific publications:
18
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
48
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


2019. IX. 13.
ODT ülés
Az ODT következő ülésére 2019. november 22-én 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
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. )