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Bejelentkezés
A Tudóstér funkcióinak nagy része bejelentkezés nélkül is elérhető. Bejelentkezésre az alábbi műveletekhez van szükség:
Debreceni Egyetem. Informatikai Kar. Informatikai Rendszerek és Hálózatok Tanszék / University of Debrecen. Faculty of Informatics. Department of IT Systems and Networking
Debreceni Egyetem. Informatikai Kar / University of Debrecen. Faculty of Informatics
Bartók, T.,
Héjja, F.,
Kocsis, G.:
Availability Modeling in Software Architecture.
2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) / Hajdu András 1-4, 2024.
Héjja, F.,
Bartók, T.,
Dakroub, R.,
Kocsis, G.:
Generative AI for Productivity in Industry and Education.
In: COMPLEXIS 2024 : Proceedings of the 9th International Conference on Complexity, Future Information Systems and Risk / Ali, Emrouznejad; Luigi, Fortuna; Victor, Chang, SciTePress, Angers, France, 128-135, 2024, (ISSN 2184-5034) ISBN: 9789897586989
Kocsis, G.,
Varga, I.:
gtfs2net: Extraction of General Transit Feed Specification Data Sets to Abstract Networks and Their Analysis.
Big Data. [Epub ahead of print] (-), 1-13, 2023.
Menyhárt, T.,
Polgár, P.,
Baksay, C. B.,
Tajti, T. G.,
Kocsis, G.,
Gál, Z.:
Performance of Parallel and Storage Intensive Jobs on Clustered Singularity Containers.
In: 2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY), Pula, Croatia, 2023, IEEE Explore, Pula, Croatia, 515-520, 2023.
Polgár, P.,
Menyhárt, T.,
Baksay, C. B.,
Kocsis, G.,
Tajti, T. G.,
Gál, Z.:
Three level benchmarking of Singularity containers for scientific calculations.
Ann. Math. Inform. 58, 133-146, 2023.
Kocsis, G.,
Varga, I.:
Extracting Mass Transportation Networks from General Transit Feed Specification Datasets.
In: Proceedings of the 7th International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2022). Ed.: Min Xie, Reinhold Behringer, Victor Chang, Scitepress, Setúbal, 85-91, 2022, (ISSN 2184-5034) ISBN: 9789897585654
Gál, Z.,
Kocsis, G.,
Tajti, T. G.,
Tornai, R.:
Performance evaluation of massively parallel and high speed connectionless vs. connection oriented communication sessions.
Adv. Eng. Softw. 157-158, 1-20, 2021.
Becsei, M.,
Széll, M.,
Kocsis, G.:
Implementing a New Interface for Directed Graph Analysis by Existing and New Algorithms.
In: Proceedings of the 11th International Conference on Applied Informatics (ICAI 2020). Ed.: by Gergely Kovásznai, István Fazekas, Tibor Tómács, CEUR, Eger, 38-45, 2020, (CEUR Worksh op Proceedings, ISSN 1613-0073 ; 2650.)
Széll, M.,
Becsei, M.,
Kocsis, G.:
Introduction to DiNA: An Extendable Web-application for Directed Network Analysis.
In: COMPLEXIS 2020 : Proceedings of the 5th International Conference on Complexity, Future Information Systems and Risk. Eds.: Reinhold Behringer, Victor Chang, SciTePress, Setubal, 129-135, 2020. ISBN: 9789897584275
Gál, Z.,
Varga, I.,
Tajti, T. G.,
Kocsis, G.,
Langmajer, Z.,
Kósa, M.,
Pánovics, J.:
Performance evaluation of massively parallel communication sessions.
In: Proceedings of the Sixth International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering. Ed.: P. Iványi, B. H. V. Topping, Civil-Comp Press, Pécs, 1-19, 2019. ISBN: 9781905088676
Kocsis, G.,
Varga, I.:
The effect of moving agents on the network formation in smart-city applications.
Comput. Model. New Technol. 23 (1), 44-49, 2019.
Kocsis, G.:
Spreading models on moving agents.
In: Proceedings of the 10th International Conference on Applied Informatics. Ed.: Terdik György, Kovácsnai Gergely, Tómács Tibor, Eszterházy Károly Egyetem, Eger, 163-170, 2018. ISBN: 9786155621727
Varga, I.,
Kocsis, G.:
Novel model of social networks with tunable clustering coefficient.
In: Proceedings of the 9th International Conference on Applied Informatics January 29 - Februar 1, 2014. Eger, Hungary Volume II. [elektronikus dokumentum]. Ed.: by Kovács Emőd, Kusper Gábor, Kunkli Roland, Tómács Tibor, Eszterházy Károly Főiskola, Eger, 171-176, 2015. ISBN: 9786155297182
Kocsis, G.,
Varga, I.:
The effect of dynamic active-inactive agents on spreading phenomena.
In: Proceedings of the 9th International Conference on Applied Informatics January 29 - Februar 1, 2014. Eger, Hungary Volume II. [elektronikus dokumentum]. Ed.: by Kovács Emőd, Kusper Gábor, Kunkli Roland, Tómács Tibor, Eszterházy Károly Főiskola, Eger, 139-144, 2015. ISBN: 9786155297182
Kocsis, G.,
Varga, I.:
Agent Based Simulation of Spreading in Social-Systems of Temporarily Active Actors.
In: Cellular Automata : 11th International Conference on Cellular Automata for Research and Industry, ACRI 2014, Krakow, Poland, September 22-25, 2014 : Proceedings. Ed.: Jarosław Wąs, Georgios Ch. Sirakoulis, Stefania Bandini, Springer Publishing Co, New York, 330-338, 2014, (Lecture Notes in Computer Science ; 8751.) ISBN: 9783319115191(print)
Varga, I.,
Németh, A.,
Kocsis, G.:
A novel method of generating tunable underlying network topologies for social simulation.
In: 4th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2013 : Proceedings, December 2-5, 2013 Budapest, Hungary. Ed.: Péter Baranyi, IEEE, Danvers, 71-74, 2013. ISBN: 9781479915439
Kocsis, G.,
Varga, I.:
Information spreading on declining social networks.
In: Pre-Proceedings of 9th International Conference on Applied Mathematics, [s.l.], [s.n.], 81-83, 2013. ISBN: 9786069309483
