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Data sheet of PhD student
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Regina Júlia Meszlényi
name Regina Júlia Meszlényi
name of institution Budapest University of Technology and Economics
doctoral school BME Doctoral School of Psychology (Cognitive Science)
Supervision
thesis supervisor Zoltán Vidnyánszky
one supervisor or with co-supervisor individual
degree PhD
starting of doctoral studies 2014
foreseen 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
Publications
2017

Meszlényi RJ, Hermann P, Buza K, Gál V, Vidnyánszky Z: Resting State fMRI Functional Connectivity Analysis Using Dynamic Time Warping, FRONTIERS IN NEUROSCIENCE : (11) Paper 75. p.
type of document: Journal paper/Article
language: English
DOI 
2016

Lung Rodica Ioana, Suciu Mihai, Meszlényi Regina, Buza Krisztian, Gaskó Noémi: Community Structure Detection for the Functional Connectivity Networks of the Brain, In: Szerk.: Julia Handl, Szerk.: Emma Hart, Szerk.: Peter R Lewis, Szerk.: Manuel López-Ibáñez, Szerk.: Gabriela Ochoa, Szerk.: Ben Paechter Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. [s. l.] - Nemzetközi: Springer, 2016. pp. 633-643. (Lecture Notes in Computer Science; 9921.)
type of document: Part of book/Proceedings Paper
language: English
DOI 
2016

Meszlényi R, Peska L, Gál V, Vidnyánszky Z, Buza K: Classification of fMRI data using Dynamic time Warping based functional connectivity analysis, In: Szerk.: IEEE 24th European Signal Processing Conference, EUSIPCO 2016. New York: IEEE, 2016. pp. 245-249.
type of document: Part of book/Proceedings Paper
language: English
URL 
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Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
 
number of scientific publications:
 
monographs and professional books:
 
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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. )