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personal data approved: 2019. X. 24.
Personal data
Luca Szegletes
name Luca Szegletes
name of institution
doctoral school
BME Doctoral School of Informatics (Announcer of research topic)
Academic title
scientific degree, title Ph.D.
year degree was obtained 2016
discipline to which degree belongs computer sciences
institution granting the degree Budapest University of Technology and Economics
Employment
2015 - Budapest University of Technology and Economics
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now
number of students who fulfilled course requirements
students who obtained their degrees:
  Thesis topic proposals
Research
research area - Application of Deep Learning in Physiological Signal Processing - Deep Learning on Graphs
research field in which current research is conducted computer sciences
electrical engineering
Publications
2018

Cai W, Chen T, Szegletes L, Supekar K, Menon V: Aberrant Time-Varying Cross-Network Interactions in Children With Attention-Deficit/Hyperactivity Disorder and the Relation to Attention Deficits, BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 3: (3) pp. 263-273.
type of document: Journal paper/Article
language: English
URL 
2017

Szabó Máté, Pomázi Krisztián Dániel, Radostyán Bertalan, Szegletes Luca, Forstner Bertalan: Estimating Task Difficulty in Educational Games, In: Baranyi, Péter (szerk.) Proceedings of 7th IEEE Conference on Cognitive Infocommunications, IEEE Hungary Section (2017) pp. 397-402.
type of document: Part of book/Proceedings Paper
number of independent citations: 4
language: English
URL 
2016

Radostyán Bertalan, Forstner Bertalan, Szegletes Luca, Pomázi Krisztián Dániel, Gazdi László: Adaptive Figural Abstraction Test with Generated Exercises, In: Baranyi, Péter (szerk.) Proceedings of 7th IEEE Conference on Cognitive Infocommunications, IEEE Hungary Section (2017) pp. 327-330.
type of document: Part of book/Proceedings Paper
number of independent citations: 3
language: English
URL 
2016

Luca Szegletes, Máté Köles, László Gazdi, Bertalan Forstner: Mental Effort Classification Using Multiple Sensors, In: István, Vajk; Dmitriy, Dunaev (szerk.) Proceedings of the Automation and Applied Computer Science Workshop 2016, BUTE Department of Automation and Applied Informatics (2016) pp. 121-130.
type of document: Part of book/Proceedings Paper
language: English
2016

Szegletes Luca, Köles Máté, Forstner Bertalan: Multi-Source Classification - A Mental Effort Study, In: anon (szerk.) International Symposium on Stability, Vibrations and Control of Systems (SVCS 2016), BME (2016) pp. 80-91.
type of document: Conference paper/Előadás vagy poszter cikke
language: English
2015

Szegletes Luca, Köles Máté, Forstner Bertalan: Socio-cognitive gamification: general framework for educational games, JOURNAL ON MULTIMODAL USER INTERFACES 9: (4) pp. 395-401.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2014

Szegletes Luca, Forstner Bertalan, Mate Koles: The design of a biofeedback framework for dynamic difficulty adjustment in games, In: Institute, of Electrical and Electronics Engineers (szerk.) 5th IEEE International Conference on Cognitive Infocommunications, IEEE (2014) pp. 295-299.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2013

Szegletes Luca, Forstner Bertalan: Reusable Framework for the Development of Adaptive Games, In: Baranyi, Peter; Esposito, Anna; Niitsuma, Mihoko; Solvang, Bjorn (szerk.) IEEE 4th International Conference on Cognitive Infocommunications: CogInfoCom 2013, IEEE Hungary Section (2013) pp. 601-606.
type of document: Part of book/Proceedings Paper
language: English
URL 
2013

Szegletes Luca, Forstner Bertalan: An Introduction to a Neurofeedback-based Self-Rewarding Framework on Mobile Devices using Modern HCIs, INTERNATIONAL JOURNAL OF INFORMATION AND EDUCATION TECHNOLOGY 7: (1) pp. 27-34.
type of document: Journal paper/Article
language: English
URL 
2012

Felipe Gerhard, Szegletes Luca: Spline- and wavelet-based models of neural activity in response to natural visual stimulation., In: IEEE (szerk.) EMBC 2012, IEEE Press (2012) pp. 4611-4614.
type of document: Part of book/Proceedings Paper
language: English
Number of independent citations to these publications:11 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
22
number of scientific publications:
24
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
18

 
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. )