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personal data approved: 2024. III. 22.
Personal data
Attila Kertész-Farkas
name Attila Kertész-Farkas
name of institution
doctoral school
SzTE Doctoral School of Interdisciplinary Medicine (Academic staff member)
the share of work in the different doctoral schools. SzTE Doctoral School of Interdisciplinary Medicine 100%
Academic title
scientific degree, title Ph.D.
year degree was obtained 2010
discipline to which degree belongs computer sciences
institution granting the degree SZTE
scientific degree, title DSc abroad
year degree was obtained 2022
discipline to which degree belongs mathematics and computing
institution granting the degree HSE University
scientific degree, title DSc
year degree was obtained 2024
discipline to which degree belongs biology
institution granting the degree HAS
Employment
2015 - HSE University (research institute, not university)
other (not specified) (Docent)
Thesis topic supervisor
number of doctoral students supervised until now 0.5
number of students who fulfilled course requirements 0.5
students who obtained their degrees:
(50%) Nikita Moshkov PhD 2022  IDS-SzTE

Research
research area Machine Learning, Bioinformatics
research field in which current research is conducted computer sciences
Publications
2021

Moshkov Nikita, Mathe Botond, Kertesz-Farkas Attila, Hollandi Reka, Horvath Peter: Test-time augmentation for deep learning-based cell segmentation on microscopy images (vol 10, 5068, 2020), SCIENTIFIC REPORTS 11: (1) 3327
type of document:
language: English
URL 
2020

Sulimov Pavel, Voronkova Anastasia, Kertesz-Farkas Attila: Annotation of tandem mass spectrometry data using stochastic neural networks in shotgun proteomics, BIOINFORMATICS 36: (12) pp. 3781-3787.
type of document: Journal paper/Article
language: English
URL 
2020

Sulimov Pavel, Kertesz-Farkas Attila: Tailor: A Nonparametric and Rapid Score Calibration Method for Database Search-Based Peptide Identification in Shotgun Proteomics, JOURNAL OF PROTEOME RESEARCH 19: (4) pp. 1481-1490.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL 
2020

Moshkov Nikita, Mathe Botond, Kertesz-Farkas Attila, Hollandi Reka, Horvath Peter: Test-time augmentation for deep learning-based cell segmentation on microscopy images, SCIENTIFIC REPORTS 10: (1) 5068
type of document: Journal paper/Article
number of independent citations: 86
language: English
URL 
2019

Danilova Yulia, Voronkova Anastasia, Sulimov Pavel, Kertesz-Farkas Attila: Bias in False Discovery Rate Estimation in Mass-Spectrometry-Based Peptide Identification, JOURNAL OF PROTEOME RESEARCH 18: (5) pp. 2354-2358.
type of document: Journal paper/Article
number of independent citations: 10
language: English
URL 
2018

Chereshnev Roman, Kertesz-Farkas Attila: HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks, In: Wasserman, S; Savchenko, AV; Pardalos, PM; Panchenko, A; Napoli, A; Loukachevitch, N; Lomazova, IA; Lempitsky, .; Kuznetsov, SO; Khachay, M; Ignatov, DI; VanDerAalst, WMP (szerk.) Analysis of Images, Social Networks and Texts: 6th International Conference, AIST 2017. Revised Selected Papers, Springer-Verlag (2018) pp. 131-141.
type of document: Part of book/Szaktanulmány (to be translated)
number of independent citations: 34
language: English
URL 
2018

Filatov Gleb, Bauwens Bruno, Kertesz-Farkas Attila: LZW-Kernel: fast kernel utilizing variable length code blocks from LZW compressors for protein sequence classification, BIOINFORMATICS 34: (19) pp. 3281-3288.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2018

Chereshnev Roman, Kertesz-Farkas Attila: GaIn: Human Gait Inference for Lower Limbic Prostheses for Patients Suffering from Double Trans-Femoral Amputation, SENSORS 18: (12) 4146
type of document: Journal paper/Article
number of independent citations: 7
language: English
URL 
2018

Chereshnev Roman, Kertesz-Farkas Attila: RapidHARe: A computationally inexpensive method for real-time human activity recognition from wearable sensors, JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS 10: (5) pp. 377-391.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2015

Marini B, Kertesz-Farkas A, Ali H, Lucic B, Lisek K, Manganaro L, Pongor S, Luzzati R, Recchia A, Mavilio F, Giacca M, Lusic M: Nuclear architecture dictates HIV-1 integration site selection, NATURE 521: (7551) pp. 227-231.
type of document: Journal paper/Article
number of independent citations: 200
language: English
URL 
Number of independent citations to these publications:352 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
41
number of scientific publications:
41
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
688


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).

 
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. )