EN HU

Aszalós László

Aszalós László
DE IK
Számítógéptudományi Tanszék
egyetemi docens 2012-

Teljes publikációs lista

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
2.
Aszalós, L.: Decompose Boolean Matrices with Correlation Clustering.
Entropy. 23 (7), 1-12, 2021.
Folyóirat-mutatók:
Q2 Electrical and Electronic Engineering
Q2 Information Systems
Q2 Mathematical Physics
Q2 Physics and Astronomy (miscellaneous)
2020
3.
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
4.
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
5.
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
6.
Nagy, D., Mihálydeák, T. S., 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
7.
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
8.
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
9.
Aszalós, L., Bakó, M.: Correlation Clustering: Let All The Flowers Bloom!.
Ann. Comput. Sci. Inf. Syst. 20, 21-28, 2019.
10.
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
11.
Nagy, D., Mihálydeák, T. S., 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
12.
Nagy, D., Aszalós, L., Mihálydeák, T. S.: 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
13.
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
14.
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
15.
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
16.
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
17.
Bakó, M., Aszalós, L.: The creation and application of a question bank for an Introductory Logic module.
Acta Didact. Napocensia. 12 (2), 61-74, 2019.
18.
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
19.
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
20.
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
21.
Aszalós, L., Bakó, M.: Correlation clustering: a parallel approach?.
Ann. Comput. Sci. Inf. Syst. 11, 403-406, 2017.
22.
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
23.
Aszalós, L., Fazekas, A., Mihálydeák, T. S.: 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
24.
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
2016
25.
Aszalós, L., Mihálydeák, T. S.: Correlation clustering by contraction, a more effective method.
In: Recent advances in computational optimization : Results of the Workshop on Computational Optimization WCO 2015. Ed.: Stefka Fidanova, Springer International Publishing Switzerland, [Basel], 81-95, 2016, (Studies in Computational Intelligence, ISSN 1860-949X (print), ISSN 1860-9503 (online) ; vol. 655.) ISBN: 9783319401317(print)
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