EFOP-3.6.3-VEKOP-16-2017-00002

1.

Bagossy, A., Battyányi, P.: An encoding of the [lambda]-calculus in the String MultiSet Rewriting calculus.
Acta Inform. 61 (2), 161-181, 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q3 Computer Networks and Communications

Q3 Information Systems

Q3 Software

2.

Battyányi, P.: Solving the SAT problem with the string multiset rewriting calculus.
Computing. 106, 1321-1334, 2024.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Computational Mathematics

Q1 Computational Theory and Mathematics

Q2 Computer Science Applications

Q1 Numerical Analysis

Q2 Software

Q2 Theoretical Computer Science

3.

Gilányi, A., To, L. N.: Computer assisted investigation of alienness of linear functional equations.
Aequ. Math. 97, 1185-1199, 2023.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Applied Mathematics

Q2 Discrete Mathematics and Combinatorics

Q2 Mathematics (miscellaneous)

4.

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.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q3 Computer Science (miscellaneous)

Q3 Electrical and Electronic Engineering

5.

Bujdosó, G., Teperics, K., Roskó, T., Jász, E., Czimre, K., Molnár, E., Kapusi, J., Novac, M., Novac, O.: Disruptive technologies in STEM education - A method for broadening the spectrum of IT teacher education.
In: EDULEARN23 Proceedings / Luis Gómez Chova; Chelo González Martínez; Joanna Lees, IATED Academy, 2023, 5684-5692, 2023, (ISSN 2340-1117) ISBN: 9788409521517

doi DEA

6.

Fazekas, A., Kovács, G.: Optimal binning for a variance based alternative of mutual information in pattern recognition.
Neurocomputing. 519, 135-147, 2023.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Artificial Intelligence

D1 Cognitive Neuroscience

D1 Computer Science Applications

7.

Szeghalmy, S., Fazekas, A.: A Highly Adaptive Oversampling Approach to Address the Issue of Data Imbalance.
Computers. 11 (5), 1-21, (cikkazonosító: 73), 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Networks and Communications

Q3 Human-Computer Interaction

8.

Hannusch, C., Mihálydeák, T. S.: Algebraic structures gained from rough approximation in incomplete information systems.
In: Annals of Computer Science and Information Systems (ACSIS) ISBN: 9788396589743

doi DEA

9.

Kovács, G., Fazekas, A.: A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers.
Med. Image Anal. 75, 1-15, (cikkazonosító: 102300), 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

D1 Computer Graphics and Computer-Aided Design

D1 Computer Vision and Pattern Recognition

D1 Health Informatics

D1 Radiological and Ultrasound Technology

D1 Radiology, Nuclear Medicine and Imaging

10.

Biró, P., Kádek, T., Kósa, M., Pánovics, J.: A New Method to Increase Feedback for Programming Tasks During Automatic Evaluation: test case annotations in ProgCont System.
Acta Polytech. Hung. 19 (9), 103-116, 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Engineering (miscellaneous)

Q2 Multidisciplinary

11.

Hoffmann, M., Juhász, I., Troll, E.: Caustics of developable surfaces.
Front. Inform. Technol. Elect. Eng. 23 (3), 479-487, 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Computer Networks and Communications

Q2 Electrical and Electronic Engineering

Q2 Hardware and Architecture

Q2 Signal Processing

12.

Papp, G., Hoffmann, M., Papp, I.: Embedding QR Code onto Triangulated Meshes using Horizon Based Ambient Occlusion.
Comput. Graph. Forum. 41 (1), 29-45, 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q1 Computer Graphics and Computer-Aided Design

Q1 Computer Networks and Communications

13.

Sebestyén, K., Csapó, G., Csernoch, M., Aradi, B.: Error Recognition Model: End-user Text Management.
Acta Polytech. Hung. 19 (1), 151-170, 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Engineering (miscellaneous)

Q2 Multidisciplinary

14.

Bujdosó, G., Novac, M., Novac, O., Roskó, T., Teperics, K.: Experiences with the use of virtual reality environments in education - Identifying difficulties and possible solutions during thesis work.
In: EDULEARN22 Proceedings / IATED, IATED, 2022, 10216-10221, 2022, (ISSN 2340-1117) ISBN: 9788409424849

doi DEA

15.

Csoba, I., Kunkli, R.: Fast, GPU-based Computation of Large Point-Spread Function Sets for the Human Eye using the Extended Nijboer-Zernike Approach.
In: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / István Fazekas, IEEE Computer Society, Washington, 69-73, 2022. ISBN: 9781665496537

doi DEA Scopus

16.

Xie, Y., Majoros, T., Oniga, I. L.: FPGA-Based Hardware Accelerator on Portable Equipment for EEG Signal Patterns Recognition.
Electronics (Switzerland). 11 (15), 1-15, (cikkazonosító: 2410), 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q2 Control and Systems Engineering

Q2 Computer Networks and Communications

Q2 Electrical and Electronic Engineering

Q2 Hardware and Architecture

Q2 Signal Processing

17.

Csernoch, M.: From webtables to datatables.
In: Proceedings of the EuSpRIG 2019 Conference "Spreadsheet Risk Management" / Grenville Croll, EuSpRIG European Spreadsheet Risks Interest Grou, London, 127-148, 2022. ISBN: 9781905404568

DEA

18.

Padányi, V., Herendi, T.: Generalized Middle-Square Method.
Ann. Math. Inform. 56, 95-108, 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q4 Computer Science (miscellaneous)

Q4 Mathematics (miscellaneous)

19.

Roskó, T., Bujdosó, G., Novac, M., Novac, O., Szőllősi, G. J.: Improving Students' Privacy Awareness: Analysis of A Pilot Survey to Design A VR Environment for Self-Paced Learning.
In: Proceedings of 2022 13th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) / Baranyi Péter, IEEE Computer Society, Washington, Piscataway, 53-58, 2022, (ISSN 2380-7350) ISBN: 9781665492393

doi DEA WoS Scopus

20.

Nagy, F., Yoshida, N., Hoffmann, M.: Interactive G1 and G2 Hermite Interpolation Using Coupled Log-aesthetic Curves.
Comput Aided Des Appl. 19 (6), 1216-1235, 2022.

doi DEA Scopus

Folyóirat-mutatók:

Q4 Computational Mathematics

Q3 Computational Mechanics

Q3 Computer Graphics and Computer-Aided Design

21.

Bodroginé Zichar, M.: Mathability in the Fields of 3D Printing and Modeling.
Acta Polytech. Hung. 19 (1), 31-49, 2022.

doi DEA Scopus

Folyóirat-mutatók:

Q2 Engineering (miscellaneous)

Q2 Multidisciplinary

22.

Chmielewska, K., Lukasiewicz, A., Mroczynska, K., Gilányi, A.: Mathematical and Technical Education - Experiences Gained During Online Teaching.
In: 13th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) / N. A, IEEE, Budapest, Hungary, 35-40, 2022.

doi DEA WoS Scopus

23.

Sebestyén, K., Csapó, G., Csernoch, M., Abari, K.: Measuring the algorithmic skills of students working with low- and high-mathability programming approaches.
Acta Polytech. Hung. 19 (1), 93-112, 2022.

doi DEA Scopus

Folyóirat-mutatók:

Q2 Engineering (miscellaneous)

Q2 Multidisciplinary

24.

Rácz, A.: Mixed-integer linear-fractional programming model and it's linear analogue for reducing inconsistency of pairwise comparison matrices.
Inf. Sci. 592, 192-205, 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

D1 Artificial Intelligence

D1 Computer Science Applications

D1 Control and Systems Engineering

Q1 Information Systems and Management

D1 Software

D1 Theoretical Computer Science

25.

Battyányi, P.: On the power of boundary rule application in membrane computing.
Nat. Comput. 22 (1), 13-25, 2022.

doi DEA WoS Scopus

Folyóirat-mutatók:

Q3 Computer Science Applications

EFOP-3.6.3-VEKOP-16-2017-00002

Teljes publikációs lista