Krisztián Buza - ODT Personal data sheet


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Personal data sheet

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VALIDITY EXPIRED
personal data approved: 2020. X. 14.

Personal data

name	Krisztián Buza
name of institution	Eötvös Loránd University, Budapest Semmelweis University, Budapest
doctoral school	ELTE 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. ) SE János Szentágothai Doctoral School of Neurosciences (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.	ELTE Doctoral School of Informatics 99% SE János Szentágothai Doctoral School of Neurosciences 1%

Contact details
E-mail address	chrisbuzayahoo.com
phone number	+36 20 926-8750
mobile phone number	+36 20 926-8750
	own web page

Academic title
scientific degree, title	Ph.D.
year degree was obtained	2011
discipline to which degree belongs	computer sciences
institution granting the degree	University of Hildesheim

Employment
2020 -	Continental Automotive Kft. (research institute, not university) other (not specified) (deep learning engineer)

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	data mining, time-series classification, hubness, machine learning, artificial intelligence, neural networks
research field in which current research is conducted	computer sciences

Publications

2020

Buza Krisztian, Peska Ladislav, Koller Julia: Modified linear regression predicts drug-target interactions accurately, PLOS ONE 15: (4) e0230726
type of document: Journal paper/Article
language: English
URL

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: p. 75.
type of document: Journal paper/Article
number of independent citations: 30
language: English
URL

2017

Meszlényi Regina J, Buza Krisztian, Vidnyánszky Zoltán: Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture, FRONTIERS IN NEUROINFORMATICS 11: 61
type of document: Journal paper/Article
number of independent citations: 30
language: English
URL

2017

Peska L, Buza K, Koller J: Drug-target interaction prediction: A Bayesian ranking approach, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 152: pp. 15-21.
type of document: Journal paper/Article
number of independent citations: 17
language: English
URL

2017

Buza Krisztian, Peska Ladislav: Drug-target interaction prediction with Bipartite Local Models and hubness-aware regression, NEUROCOMPUTING 260: pp. 284-293.
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL

2016

Buza Krisztian: Classification of gene expression data: A hubness-aware semi-supervised approach, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 127: pp. 105-113.
type of document: Journal paper/Article
language: English
URL

2015

Nenad Tomasev, Krisztian Buza: Hubness-aware kNN classification of high-dimensional data in presence of label noise, NEUROCOMPUTING 160: pp. 157-172.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL

2015

Krisztian Buza, Alexandros Nanopoulos, Gabor Nagy: Nearest neighbor regression in the presence of bad hubs, KNOWLEDGE-BASED SYSTEMS 86: pp. 250-260.
type of document: Journal paper/Article
number of independent citations: 12
language: English
URL

2014

Krisztian Buza, Gabor Nagy, Alexandros Nanopoulos: Storage-Optimizing Clustering Algorithms for High-Dimensional Tick Data, EXPERT SYSTEMS WITH APPLICATIONS 41: (9) pp. 4148-4157.
type of document: Journal paper/Article
number of independent citations: 7
language: English
URL

2012

Krisztian Buza, Alexandros Nanopoulos, Tomáš Horváth, Lars Schmidt-Thieme: GRAMOFON: General model-selection framework based on networks, NEUROCOMPUTING 75: (1) pp. 163-170.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL

Number of independent citations to these publications:

120

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:

335