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personal data approved: 2019. IV. 05.
Personal data
Krisztián Buza
name Krisztián Buza
name of institution
doctoral school
ELTE Doctoral School of Informatics (Academic staff member)
SE János Szentágothai Doctoral School of Neurosciences (Academic staff member)
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
2018 - Eötvös Loránd University, Budapest
egyetemi kutató
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
research field in which current research is conducted computer sciences
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: p. 75.
type of document: Journal paper/Article
number of independent citations: 5
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: pp. 61-25.
type of document: Journal paper/Article
number of independent citations: 10
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: 7
language: English
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: 3
language: English
2017

Buza Krisztian, Peska Ladislav, Goebel Randy, Tanaka Yuzuru, Wahlster Wolfgang: ALADIN: A New Approach for Drug–Target Interaction Prediction, In: Ceci, Michelangelo; Hollmén, Jaakko; Todorovski, Ljupčo; Vens, Celine; Džeroski, Sašo (szerk.) Machine Learning and Knowledge Discovery in Databases, Springer International Publishing (2017) pp. 322-337.
type of document: Part of book/Proceedings Paper
language: English
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
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
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: 8
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
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: 2
language: English
Number of independent citations to these publications:42 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
68
number of scientific publications:
65
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
number of independent citations to scientific publications and creative works:
308

 
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. )