About us

Annales Mathematicae et Informaticae is an international journal of the Institute of Mathematics and Informatics of Eszterházy Károly Catholic University (Eger, Hungary), published by Líceum University Press.

Aims and Scope

This journal is open for scientific publications in mathematics and computer science, where the field of number theory, group theory, constructive and computer aided geometry as well as theoretical and practical aspects of programming languages receive particular emphasis. Methodological papers are also welcome. Papers submitted to the journal should be written in English. The Editorial Board can accept only new and unpublished material.


Clarivate Analytics (formerly Thomson Reuters) Emerging Sources Citation Index


Zentralblatt für Mathematik

Mathematical Reviews

EBSCO Academic Search Ultimate

Methodological papers are indexed by Zentralblatt MathEduc


Browse volumes or latest articles:
Annales Mathematicae et Informaticae 53 (2021)

Selected papers of the 1st Conference on Information Technology and Data Science

The conference was organized by Faculty of Informatics, University of Debrecen, Hungary, November 6–8, 2020

Conference Chairmen: István Fazekas and András Hajdu

The conference was supported by the construction EFOP-3.6.3-VEKOP-16-2017-00002. The project was supported by the European Union, co-financed by the European Social Fund.

ISSN 1787-6117 (Online)


Editorial Board

Sándor Bácsó, Sonja Gorjanc, Tibor Gyimóthy, Miklós Hoffmann, József Holovács, Tibor Juhász, László Kovács, Gergely Kovásznai, László Kozma, Kálmán Liptai, Florian Luca, Giuseppe Mastroianni, Ferenc Mátyás, Ákos Pintér, Miklós Rontó, László Szalay, János Sztrik, Gary Walsh

Technical Editor

Tibor Tómács


Enhanced optimization of high order concentrated matrix-exponential distributions
by Salah Al-Deen Almousa, Miklós Telek
Pages: 5–19
DOI: 10.33039/ami.2021.02.001

Markov modeling of traffic flow in Smart Cities
by Norbert Bátfai, Renátó Besenczi, Péter Jeszenszky, Máté Szabó, Márton Ispány
Pages: 21–44
DOI: 10.33039/ami.2021.04.008

English language learning by visualizing the literary content of a knowledge base in the three-dimensional space
by István Károly Boda, Erzsébet Tóth
Pages: 45–59
DOI: 10.33039/ami.2021.04.003

A barycentric coordinates-based visualization framework for movement of microscopic organisms
by Andrea Bodonyi, Győző Kurucz, Gábor Holló, Roland Kunkli
Pages: 61–72
DOI: 10.33039/ami.2021.04.006

Replacing the SIR epidemic model with a neural network and training it further to increase prediction accuracy
by Gergő Bogacsovics, András Hajdu, Róbert Lakatos, Marcell Beregi-Kovács, Attila Tiba, Henrietta Tomán
Pages: 73–91
DOI: 10.33039/ami.2021.02.003

Post-processing methods for calibrating the wind speed forecasts in central regions of Chile
by Mailiu Díaz, Orietta Nicolis, Julio César Marín, Sándor Baran
Pages: 93–108
DOI: 10.33039/ami.2021.03.012

Trees classification based on Fourier coefficients of the sapflow density flux
by Dmitry Efrosinin, Irina Kochetkova, Natalia Stepanova, Alexey Yarovslavtsev, Konstantin Samouylov, Riccardo Valentini
Pages: 109–123
DOI: 10.33039/ami.2021.03.002

Ensemble noisy label detection on MNIST
by István Fazekas, Attila Barta, László Fórián
Pages: 125–137
DOI: 10.33039/ami.2021.03.015

How well can screening sensitivity and sojourn time be estimated
by Ayman Hijazy, András Zempléni
Pages: 139–155
DOI: 10.33039/ami.2021.03.001

Dealing with uncertainty: A rough-set-based approach with the background of classical logic
by Tamás Kádek, Tamás Mihálydeák
Pages: 157–168
DOI: 10.33039/ami.2021.02.005

Multi dimensional analysis of sensor communication processes
by Mohamed Amine Korteby, Zoltán Gál, Péter Polgár
Pages: 169–182
DOI: 10.33039/ami.2021.03.005

Portfolio solver for verifying Binarized Neural Networks
by Gergely Kovásznai, Krisztián Gajdár, Nina Narodytska
Pages: 183–200
DOI: 10.33039/ami.2021.03.007

A contribution to scheduling jobs submitted by finite-sources in computational clusters
by Attila Kuki, Tamás Bérczes, Ádám Tóth, János Sztrik
Pages: 201–218
DOI: 10.33039/ami.2021.03.008

Investigation of the efficiency of an interconnected convolutional neural network by classifying medical images
by Oktavian Lantang, Gyorgy Terdik, Andras Hajdu, Attila Tiba
Pages: 219–234
DOI: 10.33039/ami.2021.04.001

Motor imagery EEG classification using feedforward neural network
by Tamás Majoros, Stefan Oniga, Yu Xie
Pages: 235–244
DOI: 10.33039/ami.2021.04.007

TEE-based protection of cryptographic keys on embedded IoT devices
by Dorottya Papp, Máté Zombor, Levente Buttyán
Pages: 245–256
DOI: 10.33039/ami.2021.02.002

Compositional trend filtering
by Christopher Rieser, Peter Filzmoser
Pages: 257–270
DOI: 10.33039/ami.2021.02.004

Exploiting the structure of communication in actor systems
by Krisztián Schäffer, Csaba István Sidló
Pages: 271–282
DOI: 10.33039/ami.2021.03.006

SimBPDD: Simulating differential distributions in Beta-Poisson models, in particular for single-cell RNA sequencing data
by Roman Schefzik
Pages: 283–298
DOI: 10.33039/ami.2021.03.003

Abstractive text summarization for Hungarian
by Zijian Győző Yang, Ádám Agócs, Gábor Kusper, Tamás Váradi
Pages: 299–316
DOI: 10.33039/ami.2021.04.002

This website is developed by Tibor Juhász and Tibor Tómács, designed by Lilla Piszmán.
© 2010-2023 Eszterházy Károly Catholic University. All rights reserved.