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Fazekas István

Név: Fazekas István
Affiliáció: Debreceni Egyetem. Informatikai Kar. Alkalmazott Matematikai és Valószínűségszámítási Tanszék / University of Debrecen. Faculty of Informatics. Department of Applied Mathematics and Probability
További profilok: MTMT
Szakterület: matematikus informatikus

Teljes publikációs lista

A lista áttöltése az MTMT rendszerébe
Hiányzó közlemények feltöltése
Hitelesített Publikációs Lista igénylése
OA letöltési statisztika megtekintése
Feltöltött közlemény:
96
DEA-ban:
71
OA:
25
Publikációs időszak:
1984-2024
2024
  1. Fazekas, I., Fazekas, B., Suja, M.: Convergence rate for the longest T-contaminated runs of heads.
    Stat. Probab. Lett. 208 1-8, 2024.
    Folyóirat-mutatók:
    Q3 Statistics and Probability (2023)
    Q3 Statistics, Probability and Uncertainty (2023)
  2. Fazekas, I., Fazekas, B., Suja, M.: Limit theorems for runs containing two types of contaminations.
    Period. Math. Hung. [Accepted by publisher] (-), 1-25, 2024.
    Folyóirat-mutatók:
    Q2 Mathematics (miscellaneous) (2023)
2023
  1. Fazekas, I., Barta, A., Noszály, C., Porvázsnyik, B.: A continuous-time network evolution model describing 3-interactions.
    Commun. Stat.-Theory Methods. 52 (11), 4001-4020, 2023.
    Folyóirat-mutatók:
    Q3 Statistics and Probability
  2. Fazekas, I., Fórián, L., Barta, A.: Deep Learning from Noisy Labels with Some Adjustments of a Recent Method.
    Infocommun. J. 15 (Special), 9-12, 2023.
    Folyóirat-mutatók:
    Q3 Computer Science (miscellaneous)
    Q3 Electrical and Electronic Engineering
2022
  1. Fazekas, I.: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS): Proceedings: May 16-18, 2022. : Online on CISCO Webex platform.
    Institute of Electrical and Electronics Engineers (IEEE), Piscataway, 337 p., 2022. ISBN: 9781665496537
  2. Čuprunov, A., Fazekas, I.: On the Numbers of Particles in Cells in an Allocation Scheme Having an Even Number of Particles in Each Cell.
    Mathematics. 10 1-22, 2022.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous)
    Q2 Engineering (miscellaneous)
    Q2 Mathematics (miscellaneous)
2021
  1. Fazekas, I., Barta, A.: A Continuous-Time Network Evolution Model Describing 2- and 3-Interactions.
    Mathematics. 9 (23), 1-26, 2021.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous)
    Q2 Engineering (miscellaneous)
    Q2 Mathematics (miscellaneous)
  2. Fazekas, I., Barta, A., Fórián, L.: Ensemble noisy label detection on MNIST.
    Ann. Math. Inform. 53 125-137, 2021.
    Folyóirat-mutatók:
    Q3 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
  3. Fazekas, I., Suja, M.: Limit theorems for contaminated runs of heads.
    Ann. Univ. Sci. Budapest, Sect. Comp. 52 131-146, 2021.
  4. Fazekas, I., Barta, A.: Theoretical and simulation results for a 2-type network evolution model.
    In: Proceedings of the 1st Conference on Information Technology and Data Science. Ed.: István Fazekas, András Hajdu, Tibor Tómács, CEUR Workshop Proceedings, Debrecen, 104-114, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874.)
2020
  1. Fazekas, I., Pecsora, S.: Numerical results on noisy blown-up matrices.
    Ann. Math. Inform. 51 17-28, 2020.
    Folyóirat-mutatók:
    Q4 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
  2. Čuprunov, A., Fazekas, I.: On the number of empty cells in the allocation scheme of indistinguishable particles.
    Annales Universitatis Mariae Curie-Sklodowska A Math. 74 (1), 15-29, 2020.
  3. Fazekas, I., Pecsora, S.: On the spectrum of noisy blown-up matrices.
    Special Matrices. 8 (1), 104-122, 2020.
    Folyóirat-mutatók:
    Q2 Algebra and Number Theory
    Q2 Geometry and Topology
  4. Fazekas, I., Barta, A., Noszály, C.: Simulation results on a triangle-based network evolution model.
    Ann. Math. Inform. 51 7-15, 2020.
    Folyóirat-mutatók:
    Q4 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
2019
  1. Čuprunov, A., Fazekas, I.: Poisson limit theorems for the generalized allocation scheme.
    Ann. Univ. Sci. Budapest, Sect. Comp. 49 77-96, 2019.
  2. Fazekas, I., Noszály, C., Uzonyi, N.: Taylor's power law for the N-stars network evolution model.
    Mod. Stoch.: Theory App. 6 (3), 311-331, 2019.
    Folyóirat-mutatók:
    Q3 Modeling and Simulation
    Q4 Statistics and Probability
    Q3 Statistics, Probability and Uncertainty
  3. Fazekas, I., Noszály, C., Perecsényi, A.: The N-star network evolution model.
    J. Appl. Probab. 56 (2), 416-440, 2019.
    Folyóirat-mutatók:
    Q2 Mathematics (miscellaneous)
    Q2 Statistics and Probability
    Q3 Statistics, Probability and Uncertainty
2018
  1. Fazekas, I., Noszály, C., Perecsényi, A.: A population evolution model and its applications to random networks.
    Stat. Probab. Lett. 143 17-27, 2018.
    Folyóirat-mutatók:
    Q3 Statistics and Probability
    Q3 Statistics, Probability and Uncertainty
  2. Fazekas, I., Perecsényi, A.: Scale-free property of the weights in a random graph model.
    Ann. Math. Inform. 48 15-22, 2018.
    Folyóirat-mutatók:
    Q3 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
  3. Fazekas, I., Čuprunov, A.: The conditional maximum of Poisson random variables.
    Commun. Stat.-Theory Methods. 47 (16), 3857-3870, 2018.
    Folyóirat-mutatók:
    Q3 Statistics and Probability
2017
  1. Fazekas, I., Matula, P., Ziemba, M.: A note on the weighted strong law of large numbers under general conditions.
    Publ. Math. Debr. 90 (3-4), 373-386, 2017.
    Folyóirat-mutatók:
    Q3 Mathematics (miscellaneous)
  2. Fazekas, I., Pecsora, S.: General Bahr-Esseen inequalities and their applications.
    J. Inequal. Appl. 2017 1-16, 2017.
    Folyóirat-mutatók:
    Q3 Analysis
    Q2 Applied Mathematics
    Q3 Discrete Mathematics and Combinatorics
  3. Fazekas, I., Perecsényi, A., Porvázsnyik, B.: Numerical analysis of a network evolution model.
    In: 8th IEEE International Conference on Cognitive Infocommunications : CogInfoCom 2017 : Proceedings : September 11-14, 2017 Debrecen, Hungary, IEEE Computer Society, Piscataway, 171-174, 2017. ISBN: 9781538612644
Mindet mutasd
frissítve: 2024-07-21, 01:51

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Tudományos folyóiratcikkek száma: 67
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Q2 13 (19.4%)
Q3 23 (34.3%)
Q4 7 (10.4%)
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Mathematics (43)
Mathematics (miscellaneous) (26)
Statistics and Probability (14)
Applied Mathematics (6)
Analysis (5)
Discrete Mathematics and Combinatorics (4)
Algebra and Number Theory (2)
Modeling and Simulation (2)
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Geometry and Topology (1)
Numerical Analysis (1)
Theoretical Computer Science (1)
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Computer Science (miscellaneous) (11)
Computational Theory and Mathematics (1)
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Statistics, Probability and Uncertainty (6)
Engineering (3)
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Electrical and Electronic Engineering (1)

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