Mihálydeák, T., Kádek, T., Nagy, D., Chakraborty, M.: Intensions and extensions of granules: A two-component treatment.
Int. J. Approx. Reasoning. 169 1-15, 2024.

Nagy, D., Mihálydeák, T., Aszalós, L.: Graph approximation on similarity based rough sets.
Pollack Period. 15 (2), 25-36, 2020.

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

Nagy, D., Mihálydeák, T., Aszalós, L.: Different Types of Search Algorithms for Rough Sets.
Acta Cybern. 24 (1), 105-120, 2019.

Nagy, D., Aszalós, L., Mihálydeák, T.: Finding the representative in a cluster using correlation clustering.
Pollack Period. 14 (1), 15-24, 2019.

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

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

Nagy, D., Mihálydeák, T., 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

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

Nagy, D., Mihálydeák, T., 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

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.