You are here

Aszalós László

Aszalós László

Aszalós László
DE > IK
egyetemi docens 2012-
Name: Aszalós László
Degree
  • PhD, Debreceni Egyetem (2002)
  • Habilitáció, Debreceni Egyetem (2012)
Profession: mathematician
Nemhivatalos honlap - segédanyagok diákoknak

Publication list

Uploaded publications:
66
Publications in DEA:
63
OA:
11
Date range:
1995-2022
2022
  1. Bakó, M., Aszalós, L.: Different teaching methods during the pandemic in the university education.
    In: INTED2022 Proceedings. Eds.: Luis Gomez Chova, Agustin Lopez, Ignacio Candel Torres, International Association of Technology Education & Development (IATED), Valencia, 9114-9120, 2022, (ISSN 2340-1079) ISBN: 9788409377589
2021
  1. Aszalós, L.: Decompose Boolean Matrices with Correlation Clustering.
    Entropy. 23 (7), 1-12, 2021.
    Journal metrics:
    Q2 Electrical and Electronic Engineering
    Q2 Information Systems
    Q2 Mathematical Physics
    Q2 Physics and Astronomy (miscellaneous)
2020
  1. Bakó, M., Aszalós, L.: Blended learning at Introductory Logic course at University of Debrecen.
    In: INTED2020 Conference proceedings : 14th International Technology, Education and Development Conference Valencia, Spain. 2-4 March, 2020. / Edited by L. Gómez Chova, A. López Martínez, I. Candel Torres, IATED Academy, Valencia, 2984-2992, 2020, (ISSN 2340-1079) ISBN: 9788409179398
  2. Bakó, M., Aszalós, L.: DIY Programmers' LMS.
    In: INTED2020 Conference proceedings : 14th International Technology, Education and Development Conference Valencia, Spain. 2-4 March, 2020. / Edited by L. Gómez Chova, A. López Martínez, I. Candel Torres, IATED Academy, Valencia, 3009-3014, 2020, (ISSN 2340-1079) ISBN: 9788409179398
  3. Bakó, M., Aszalós, L.: Fejtörők a logikai alapfogalmak megalapozásában.
    In: Informatika, Infokommunikáció, Innováció, Edukáció 2019. Szerk.: Vártesrész Magdolna, Bujdosó Gyöngyi, DE Informatikai Kar, Debrecen, 1-20, 2020. ISBN: 9789634901709
  4. Nagy, D., Mihálydeák, T., 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
  5. Aszalós, L., Bakó, M.: Teaching AI during the Pandemic.
    In: ICERI2020 Conference proceedings : 13th annual International Conference of Education, Research and Innovation Online Conference. 9-10 November, 2020. / Edited by L. Gómez Chova; A. López Martínez; I. Candel Torres, IATED Academy, Valencia, 1343-1349, 2020, (ISSN 2430-1095) ISBN: 9788409242320
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. Aszalós, L., Bakó, M.: Correlation Clustering: Let All The Flowers Bloom!.
    Ann. Comput. Sci. Inf. Syst. 20 21-28, 2019.
  3. Bakó, M., Aszalós, L.: Creation of a question bank for an introductory logic module.
    In: ICERI2019 Conference proceedings : 12th annual International Conference of Education, Research and Innovation. November 11th-13th, 2019, Seville, Spain / Edited by L. Gómez Chova, A. López Martínez, I. Candel Torres, IATED Academy, Seville, 2958-2963, 2019, (ISSN 2340-1095) ISBN: 9788409147557
  4. Nagy, D., Mihálydeák, T., 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.: 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. Bakó, M., Aszalós, L.: How to teach AI at BSc level?.
    In: ICERI2019 Conference proceedings : 12th annual International Conference of Education, Research and Innovation. November 11th-13th, 2019, Seville, Spain / Edited by L. Gómez Chova, A. López Martínez, I. Candel Torres, IATED Academy, Seville, 5384-5390, 2019, (ISSN 2340-1095) ISBN: 9788409147557
  7. 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
  8. Aszalós, L., Bakó, M.: Literate programming in education.
    In: XXXII DIDMATTECH 2019 : Proceedings : New Methods and Technologies in Education and Practice. Ed.: Veronika Stoffová, Roman Horváth, Trnava University, Trnava, 1-6, 2019. ISBN: 9788056803578
  9. 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
  10. Bakó, M., Aszalós, L.: University students' attitudes towards the usage of online tests for learning introductory logic.
    In: XXXII DIDMATTECH 2019 : Proceedings : New Methods and Technologies in Education and Practice. Eds.: Veronika Stoffová, Roman Horváth, Trnava University, Trnava, 1-9, 2019.
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. Aszalós, L., Bakó, M.: Correlation clustering: a parallel approach?.
    Ann. Comput. Sci. Inf. Syst. 11 403-406, 2017.
  2. Aszalós, L., Bakó, M.: E-learning feladatok generálása.
    In: Informatika a felsőoktatásban 2017 konferencia kiadványa. Szerk.: Aradi Bernadett, Bujdosó Gyöngyi, Horváth Géza, Szokol Patrícia, Debreceni Egyetem Informatikai Kar, Debrecen, 9-15, 2017. ISBN: 9789634732136
  3. Aszalós, L., Fazekas, A., Mihálydeák, T.: Kihívások és kényszerek - Új képzési programok a Debreceni Egyetem Informatikai Karán.
    In: Informatika a felsőoktatásban 2017 konferencia kiadványa. Szerk.: Aradi Bernadett, Bujdosó Gyöngyi, Horváth Géza, Szokol Patrícia, Debreceni Egyetem Informatikai Kar, Debrecen, 101-108, 2017. ISBN: 9789634732136
  4. 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
2016
  1. Aszalós, L., Bakó, M.: Correlation clustering: divide and conquer.
    In: Position Papers of the 2016 Federated Conference on Computer Science and Information Systems. Eds.: Maria Ganzha, Leszek Maciaszek, Marcin Paprzycki, Polskie Towarzystwo Informatyczne, Warsaw, 73-78, 2016, (Annals of Computer Science and Information Systems, ISSN 2300-5963 ; vol. 9.) ISBN: 9788360810934
Show all
updated: 2024-03-17, 01:11

SCImago quartiles of
scientific journal articles

Number of scientific articles: 17
Q1 1 (5.9%)
Q2 1 (5.9%)
Q3 5 (29.4%)
Q4 1 (5.9%)
N/A 9 (52.9%)
-
OK

SCImago subject areas and categories

Mathematics (7)
Modeling and Simulation (2)
Theoretical Computer Science (2)
Logic (1)
Mathematical Physics (1)
Mathematics (miscellaneous) (1)
Computer Science (6)
Software (4)
Computer Science (miscellaneous) (3)
Computational Theory and Mathematics (2)
Computer Science Applications (2)
Computer Vision and Pattern Recognition (2)
Information Systems (1)
Engineering (6)
Electrical and Electronic Engineering (4)
Civil and Structural Engineering (2)
Decision Sciences (2)
Information Systems and Management (2)
Management Science and Operations Research (2)
Materials Science (2)
Materials Science (miscellaneous) (2)
Arts and Humanities (1)
Philosophy (1)
Physics and Astronomy (1)
Physics and Astronomy (miscellaneous) (1)

Genre chart

Year chart

Language chart

Other co-authors