István Fazekas

István Fazekas

Debreceni Egyetem

H-index: 15

Europe-Hungary

About István Fazekas

István Fazekas, With an exceptional h-index of 15 and a recent h-index of 6 (since 2020), a distinguished researcher at Debreceni Egyetem, specializes in the field of mathematics, probability theory, statistics, informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A continuous-time network evolution model describing 3-interactions

Convergence rate for the longest T-contaminated runs of heads. Paper with detailed proofs

Deep Learning from Noisy Labels with Some Adjustments of a Recent Method

Invariance principle for numbers of particles in cells of a general allocation scheme

Limit theorems for runs containing two types of contaminations. Paper with detailed proofs

On the Numbers of Particles in Cells in an Allocation Scheme Having an Even Number of Particles in Each Cell

Ensemble noisy label detection on MNIST

Theoretical and simulation results for a 2-type network evolution model

István Fazekas Information

University

Position

___

Citations(all)

906

Citations(since 2020)

199

Cited By

781

hIndex(all)

15

hIndex(since 2020)

6

i10Index(all)

30

i10Index(since 2020)

3

Email

University Profile Page

Debreceni Egyetem

Google Scholar

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István Fazekas Skills & Research Interests

mathematics

probability theory

statistics

informatics

Top articles of István Fazekas

Title

Journal

Author(s)

Publication Date

A continuous-time network evolution model describing 3-interactions

Communications in Statistics-Theory and Methods

István Fazekas

Attila Barta

Csaba Noszály

Bettina Porvázsnyik

2023/6/3

Convergence rate for the longest T-contaminated runs of heads. Paper with detailed proofs

arXiv preprint arXiv:2302.06657

István Fazekas

Borbála Fazekas

Michael Ochieng Suja

2023/2/13

Deep Learning from Noisy Labels with Some Adjustments of a Recent Method

INFOCOMMUNICATIONS JOURNAL

István Fazekas

László Fórián

Attila Barta

2023

Invariance principle for numbers of particles in cells of a general allocation scheme

Diskretnaya Matematika

István Fazekas

Alexej Nikolaevich Chuprunov

2023

Limit theorems for runs containing two types of contaminations. Paper with detailed proofs

arXiv preprint arXiv:2309.11602

István Fazekas

Borbála Fazekas

Michael Ochieng Suja

2023/9/20

On the Numbers of Particles in Cells in an Allocation Scheme Having an Even Number of Particles in Each Cell

Mathematics

Alexey Nikolaevich Chuprunov

István Fazekas

2022/3/29

Ensemble noisy label detection on MNIST

Annales Mathematicae et Informaticae

István Fazekas

Attila Barta

László Fórián

2021

Theoretical and simulation results for a 2-type network evolution model

Proceedings of the 1st Conference on Information Technology and Data Science, Debrecen, Hungary

István Fazekas

Attila Barta

2020/11

On the number of empty cells in the allocation scheme of indistinguishable particles

Annales Universitatis Mariae Curie-Sklodowska, sectio A–Mathematica

Alexey Chuprunov

Istvan Fazekas

2020/10/20

Simulation results on a triangle-based network evolution model

Annales Mathematicae et Informaticae

István Fazekas

Attila Barta

Csaba Noszály

2020

Numerical results on noisy blown-up matrices

Annales Mathematicae et Informaticae

István Fazekas

Sándor Pecsora

2020

On the spectrum of noisy blown-up matrices

Special Matrices

István Fazekas

Sándor Pecsora

2020/1/1

See List of Professors in István Fazekas University(Debreceni Egyetem)

Co-Authors

H-index: 75
Peter Filzmoser

Peter Filzmoser

Technische Universität Wien

H-index: 52
Raymond J.G.M. Florax

Raymond J.G.M. Florax

Purdue University

H-index: 25
Kukush Alexander

Kukush Alexander

Taras Shevchenko National University of Kyiv

H-index: 19
Sándor Baran

Sándor Baran

Debreceni Egyetem

H-index: 16
Márton Ispány

Márton Ispány

Debreceni Egyetem

H-index: 15
Silvelyn Zwanzig

Silvelyn Zwanzig

Uppsala Universitet

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