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Nagy Dávid

Publication list

2024
1.
Mihálydeák, T. S., Kádek, T., Nagy, D., Chakraborty, M. K.: Intensions and extensions of granules: A two-component treatment.
Int. J. Approx. Reasoning. 169, 1-15, (article identifier: 109182), 2024.
Journal metrics:
Q1 Applied Mathematics (2023)
Q2 Artificial Intelligence (2023)
Q2 Software (2023)
Q2 Theoretical Computer Science (2023)
2020
2.
Nagy, D., Mihálydeák, T. S., Aszalós, L.: Graph approximation on similarity based rough sets.
Pollack Period. 15 (2), 25-36, 2020.
Journal metrics:
Q3 Civil and Structural Engineering
Q3 Computer Science Applications
Q3 Materials Science (miscellaneous)
Q3 Modeling and Simulation
Q3 Software
2019
3.
Nagy, D., Aszalós, L.: Approximation Based on Representatives.
In: Rough Sets : International Joint Conference, IJCRS 2019. Eds.: Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci, Springer, Cham, 91-101, 2019, (Lecture Notes in Computer Science, ISSN 0302-9743 ; 11499.) ISBN: 9783030228149
4.
Nagy, D., Mihálydeák, T. S., Aszalós, L.: Different Types of Search Algorithms for Rough Sets.
Acta Cybern. 24 (1), 105-120, 2019.
Journal metrics:
Q4 Computational Theory and Mathematics
Q3 Computer Science (miscellaneous)
Q4 Computer Vision and Pattern Recognition
Q4 Electrical and Electronic Engineering
Q4 Information Systems and Management
Q4 Management Science and Operations Research
Q4 Software
Q4 Theoretical Computer Science
5.
Nagy, D., Aszalós, L., Mihálydeák, T. S.: Finding the representative in a cluster using correlation clustering.
Pollack Period. 14 (1), 15-24, 2019.
Journal metrics:
Q3 Civil and Structural Engineering
Q3 Computer Science Applications
Q3 Materials Science (miscellaneous)
Q3 Modeling and Simulation
Q3 Software
6.
Aszalós, L., Nagy, D.: Iterative Set Approximations Based on Tolerance Relation.
In: Rough Sets : International Joint Conference, IJCRS 2019. Eds.: Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci, Springer, Cham, 78-90, 2019, (Lecture Notes in Computer Science, ISSN 0302-9743 ; 11499.) ISBN: 9783030228149
7.
Aszalós, L., Nagy, D.: Selecting representatives.
In: Communication Papers of the 2019 Federated Conference on Computer Science and Information Systems. Eds.: Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Polskie Towarzystwo Informatyczne, Warszawa, 13-19, 2019, (Annals of Computer Science and Information Systems, ISSN 2300-5963 ; 20.) ISBN: 9788395541636
2018
8.
Nagy, D., Mihálydeák, T. S., Aszalós, L.: Similarity based rough sets with annotation.
In: Rough Sets. Ed.: Hung Son Nguyen, Quang-Thuy Ha, Tianrui Li, Małgorzata Przybyła-Kasperek, Springer International Publishing, Cham, 88-100, 2018, (Lecture Notes in Computer Science, ISSN 0302-9743 ; 11103.) ISBN: 9783319993676
9.
Aszalós, L., Nagy, D.: Visualization of tolerance relations.
In: Proceedings of the 10th International Conference on Applied Informatics. Ed.: Terdik György, Kovácsnai Gergely, Tómács Tibor, Eszterházy Károly Egyetem, Eger, 15-22, 2018. ISBN: 9786155621727
2017
10.
Nagy, D., Mihálydeák, T. S., Aszalós, L.: Similarity based rough sets.
In: Rough Sets : proceedings, part II. Eds.: Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Ślęzak, Beata Zielosko, Springer, Cham, 94-107, 2017, (Lecture Notes in Computer Science, ISSN 0302-9743 ; 10314.) ISBN: 9783319608396
2014
11.
Aszalós, L., Kormos, J., Nagy, D.: Conjectures on phase transition at correlation clustering of random graphs.
Ann. Univ. Sci. Bp. Rolando Eötvös Nomin., Sect. Comput. 42, 37-54, 2014.
DEENK University of Debrecen
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