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)
Content
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