The library will be closed between August 10, 2026 and August 16, 2026. During this period, it will be possible to upload publications, but all other services will be suspended.
Palinszky, A.,
Fazekas, A.:
Analyzing the Performance of the k-Nearest Neighbor Classifier Using Metrics Based on Neighborhood Sequences.
Proceedings of 13th International Conference on Applied Informatics 2026, 1-2, 2026.
Haoyuan, L.,
Bobály, M.,
Fazekas, A.:
A Proposed Method for Measuring the Esthetic Outcome of Head Surgery.
Proceedings of 13th International Conference on Applied Informatics 2026, 1-4, 2026.
Q1
Earth and Planetary Sciences (miscellaneous)
(2025)
Q1
Geography, Planning and Development
(2025)
5.
Al-Hamad, A.,
Csernoch, M.,
Gilányi, A.:
Enhancing warehouse safety and resilience through virtual reality: A user-centered design approach to training feasibility.
Journal of Safety Science and Resilience. [Epub ahead of print], 1-20, (article identifier: 100305), 2026.
Fazekas, A.:
Factors Influencing Classification Performance and the Reliability of Performance Scores.
In: Book of Abstracts from the Innovation in Engineering Education Conference (IEE2026). Szerk.: Szilvia Árvai-Homolya, Sándor Lajos, László Rónai, Miskolci Egyetemi Kiadó, Miskolc, 11-11, 2026. ISBN: 9789633584255
Csernoch, M.,
Biró, P.:
Handling conditional calculation algorithms in spreadsheet environments.
In: Education and New Developments 2026. Ed.: Mafalda Carmo, World Institute for Advanced Research and Science, Portugal, 281-285, 2026, (ISSN 2184-1489) ISBN: 9789893683941
Csernoch, M.,
Hannusch, C.:
Problem-solving strategies of teachers and students in digital text management.
Humanit Soc Sci Commun. [Epub ahead of print], 2026.
Q1
Business, Management and Accounting (miscellaneous)
(2025)
Q1
Economics, Econometrics and Finance (miscellaneous)
(2025)
Q1
Psychology (miscellaneous)
(2025)
Q1
Social Sciences (miscellaneous)
(2025)
11.
Dömösi, P.,
Horváth, G.:
Szkrembler berendezés és eljárás különösen kriptográfiai alkalmazásokhoz, valamint deszkrembler berendezés és eljárás azokhoz.
Khudhair, M. A.,
Fazekas, A.:
A comparative study on the noise sensitivity of binary classification based on robust deep neural networks.
Ann. Math. Inform. 61, 129-140, 2025.
Ahmad, H.,
Hannusch, C.:
A Scalable Symmetric Cryptographic Scheme Based on Latin Square, Permutations, and Reed-Muller Codes for Resilient Encryption.
Cryptography. 9 (4), 1-28, (article identifier: 70), 2025.
Biró, P.,
Nagy, Z.,
Csernoch, M.:
Assessment of prior knowledge and algorithmic skills among first-year computer science students.
In: 17th International Conference on Economics and Business: Challenges in the Carpathian Basin / Nagy Benedek, Editura Risoprint, Cluj-Napoca, 329-338, 2025.
Murvai, A.,
Vaszil, G.:
On the Power of Small Watson-Crick Automata and Variants of String Assembling Systems.
In: Machines, Computations, and Universality 10th International Conference, MCU 2024, Nice, France, June 5-7, 2024, Revised Selected Papers / Enrico Formenti, Jérôme Durand-Lose, Springer, Cham, 89-102, 2025, (Lecture Notes in Computer Science, ISSN 0302-9743 ; 15270) ISBN: 9783031812019
Revákné Markóczi, I.,
Csernoch, M.,
Czimre, K.,
Dávid, Á.,
Tóthné Kosztin, B.,
Malmos, E.,
Sütő, É.,
Kurucz, D.:
A systematic review of STEM teaching-learning methods and activities in early childhood.
EURASIA J Math Sci Tech Ed. 20 (8), 1-22, (article identifier: 2481), 2024.
