Publications

Found 14 results
Author Keyword Title Type [ Year(Asc)]
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2020
Kmetty Z, Vincze V, Demszky D, Ring O, Nagy B, Szabó MKatalin.  2020.  Pártélet: A Hungarian Corpus of Propaganda Texts from the Hungarian Socialist Era. Proceedings of The 12th Language Resources and Evaluation Conference. :2374-2381.
2019
Kicsi A, Rákóczi M, Vidács L.  2019.  Exploration and Mining of Source Code Level Traceability Links on Stack Overflow. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :339-346.
Hegedűs I, Danner G, Jelasity M.  2019.  Gossip Learning as a Decentralized Alternative to Federated Learning. Distributed Applications and Interoperable Systems. :74–90.
Szabó Z, Téglás K, Berta Á, Jelasity M, Bilicki V.  2019.  Stunner: A Smart Phone Trace for Developing Decentralized Edge Systems. Distributed Applications and Interoperable Systems. :108–115.
2016
Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. Computational Science and Its Applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part IV. :610–624.
2001
Kocsor A, Csirik J.  2001.  Fast Independent Component Analysis in Kernel Feature Spaces. SOFSEM 2001: Theory and Practice of Informatics: 28th Conference on Current Trends in Theory and Practice of Informatics, LNAI vol. 2234. :271-281.
Blázsik Z, Keserű K, Kovács Z.  2001.  Heuristics for Simplified Process Network Synthesis (PNS) Problems with a Blossom-Type Algorithm for the Edge Covering Problem. Optimization Theory: Recent Developments from Mátraháza. :19–31.
Ortigosa P.M, García I., Jelásity M..  2001.  Two Approaches for Parallelizing the UEGO Algorithm. Optimization Theory: Recent Developments from Mátraháza. :159–177.
2000
Jelasity M.  2000.  Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics. Parallel Problem Solving from Nature PPSN VI. :755–764.
1997
French M., Szepesvari C., Rogers E..  1997.  Uncertainty, performance, and model dependency in approximate adaptive nonlinear control. Proceedings of the 36th IEEE Conference on Decision and Control. 3:3046-3051vol.3.