István Szekrényes - ODT Personal data sheet


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Personal data sheet

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personal data approved: 2023. I. 27.

Personal data

name	István Szekrényes
name of institution	University of Debrecen
doctoral school	DE Doctoral School of Human Sciences (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 Human Sciences 100%
accreditation statement submitted to:	University of Debrecen

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2020
discipline to which degree belongs	linguistics
institution granting the degree	University of Debrecen

Employment
2014 -	University of Debrecen other (not specified) (tanársegéd)

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

Research
research area	Computational linguistics, Logic, Philosophy of Language, Philosophy of Science
research field in which current research is conducted	linguistics philosophy

Publications

2022

Szekrényes István: Az azonosítás nem kizárólag forenzikus problémájáról, In: Valastyán, Tamás; Angyalosi, Gergely (szerk.) Fakultások közt, L'Harmattan Kiadó (2022) pp. 183-201.
type of document: Part of book/Könyvfejezet (to be translated)
language: Hungarian

2021

Hunyadi László, Szekrényes István: Hangok, hangulatok, gesztusok, In: Dodé, Réka; Ludányi, Zsófia (szerk.) A korpusznyelvészettől a neurális hálókig, Nyelvtudományi Kutatóközpont (2021) pp. 81-90.
type of document: Part of book/Könyvfejezet (to be translated)
language: Hungarian
URL

2020

Szekrényes István: Prozódiai jellemzők gépi feldolgozása és hasznosítása élőnyelvi korpuszok elemzésében,
type of document:
language: Hungarian
URL

2019

Szekrényes István: Post-processing T-patterns Using External Tools From a Mixed Method Perspective, FRONTIERS IN PSYCHOLOGY 10: pp. 1-12.
type of document: Journal paper/Article
language: English
URL

2019

Kovács György, Szekrényes István: Applying Neural Network Techniques for Topic Change Detection in the HuComTech Corpus, In: Szekrényes, István; Hunyadi, Laszlo (szerk.) The Temporal Structure of Multimodal Communication, Springer International Publishing (2019) pp. 147-162.
type of document: Part of book/Könyvfejezet (to be translated)
language: English
URL

2017

Szekrényes István, Kovács György: Classification of Formal and Informal Dialogues Based on Turn-Taking and Intonation Using Deep Neural Networks, In: Alexey, Karpov; Rodmonga, Potapova; Iosif, Mporas (szerk.) Speech and Computer, Springer International Publishing (2017) pp. 233-243.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL

2016

Laszlo Hunyadi, István Szekrényes, Hermina Kiss: Prosody Enhances Cognitive Infocommunication: Materials from the HuComTech Corpus, In: Szerk.: Anna Esposito, Szerk.: Lakhmi C Jain Toward Robotic Socially Believable Behaving Systems - Volume I: Modeling Emotions. Cham (Svájc): Springer International Publishing, 2016. pp. 183-204.
type of document: Part of book/Könyvfejezet (to be translated)
language: English

2016

László Hunyadi, Tamás Váradi, István Szekrényes: Language technology tools and resources for the analysis of multimodal communication, In: Szerk.: Erhard Hinrichs, Szerk.: Marie Hinrichs, Szerk.: Thorsten Trippel Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH 2016). Tübingen: University of Tübingen, 2016. pp. 117-124.
type of document: Part of book/Proceedings Paper
language: English

2015

I. Szekrényes: ProsoTool, a method for automatic annotation of fundamental frequency, In: Szerk.: Baranyi Peter 2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). New York: IEEE, 2015. pp. 291-296.
type of document: Part of book/Proceedings Paper
language: English

2014

István Szekrényes: Annotation and interpretation of prosodic data in the HuComTech corpus for multimodal user interfaces, JOURNAL ON MULTIMODAL USER INTERFACES 8: (2) pp. 143-150.
type of document: Journal paper/Article
language: English

Number of independent citations to these publications:

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:

number of independent citations to scientific publications and creative works:

Supervision
thesis supervisor	László Hunyadi
one supervisor or with co-supervisor	individual
degree	PhD
starting of doctoral studies	2011
date of final certificate (year,month)	2014/08
year in which degree was obtained	2020
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).