Tudóstér: Nagy Dávid publikációi

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feltöltött közlemény: 11 Open Access: 1
2024
  1. 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.
    Folyóirat-mutatók:
    Q1 Applied Mathematics (2023)
    Q2 Artificial Intelligence (2023)
    Q2 Software (2023)
    Q2 Theoretical Computer Science (2023)
2020
  1. Nagy, D., Mihálydeák, T., Aszalós, L.: Graph approximation on similarity based rough sets.
    Pollack Period. 15 (2), 25-36, 2020.
    Folyóirat-mutatók:
    Q3 Civil and Structural Engineering
    Q3 Computer Science Applications
    Q3 Materials Science (miscellaneous)
    Q3 Modeling and Simulation
    Q3 Software
2019
  1. 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
  2. Nagy, D., Mihálydeák, T., Aszalós, L.: Different Types of Search Algorithms for Rough Sets.
    Acta Cybern. 24 (1), 105-120, 2019.
    Folyóirat-mutatók:
    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
  3. Nagy, D., Aszalós, L., Mihálydeák, T.: Finding the representative in a cluster using correlation clustering.
    Pollack Period. 14 (1), 15-24, 2019.
    Folyóirat-mutatók:
    Q3 Civil and Structural Engineering
    Q3 Computer Science Applications
    Q3 Materials Science (miscellaneous)
    Q3 Modeling and Simulation
    Q3 Software
  4. 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
  5. 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
  1. 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
  2. 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
  1. 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
2014
  1. 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.
feltöltött közlemény: 11 Open Access: 1
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