Publications

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Kasza M, Szűcs V, Végh ÁZ, Török T.  2011.  Passive vs. Active Measurement: the Role of Smart Sensors. Third International Workshop on Pervasive Computing in Embedded Systems. :333-337.
Alexin Z.  2011.  Paternalista adatvédelem. Népszabadság.
Bilicki V, Dombi JD.  2006.  Paxos with multiple leaders. Volume of Extended Abstracts of the 5th Conference of PhD Students in Computer Science. :28.
Bilicki V, Rak Z.  2010.  Peces - Pervasive Computing in Embedded Systems.
Pflanzner T., Tornyai R., Gibizer B., Schmidt A., Kertész Attila.  2016.  Performance analysis of an openstack private cloud. CLOSER 2016 - Proceedings of the 6th International Conference on Cloud Computing and Services Science. 2:282-289.
Ujhelyi Z, Szőke G, Horváth Á, Csiszár NIstván, Vidács L, Varró D, Ferenc R.  2015.  Performance Comparison of Query-based Techniques for Anti-pattern Detection. Information and Software Technology. 65:147–165.
Baniata H., Kertesz A..  2020.  PF-BVM: A Privacy-aware fog-enhanced blockchain validation mechanism. CLOSER 2020 - Proceedings of the 10th International Conference on Cloud Computing and Services Science. :430-439.
Kertész Attila, Dombi JD, Benyi A..  2016.  A Pliant-based Virtual Machine Scheduling Solution to Improve the Energy Efficiency of IaaS Clouds. Journal of Grid Computing. 14:41-53.
Hodován R, Kiss Á.  2016.  Practical Improvements to the Minimizing Delta Debugging Algorithm. Proceedings of the 11th International Joint Conference on Software Technologies (ICSOFT 2016) – Volume 1: ICSOFT-EA. :241–248.
Szilágyi G., Gyimóthy T.  2003.  Precise static slicing of constraint logic programs. Kalmár Workshop on Logic and Computer Science. :153-164.
Beszédes Á, Fülöp LJ, Gyimóthy T.  2009.  Predicting Critical Problems from Execution Logs of a Large-Scale Software System. Proceedings of the 11th Symposium on Programming Languages and Software Tools and 7th Nordic Workshop on Model Driven Software Engineering (SPLST'09). :19-30.
Bán D, Ferenc R, Siket István, Kiss Á.  2015.  Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware. Proceedings of the 13th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2015). :178–183.
Bán D, Ferenc R, Siket I, Kiss Á, Gyimóthy T.  2018.  Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware. Journal of Supercomputing. :25.
Bán D, Ferenc R, Siket I, Kiss Á, Gyimóthy T.  2019.  Prediction models for performance, power, and energy efficiency of software executed on heterogeneous hardware. JOURNAL OF SUPERCOMPUTING. 75:4001-4025.
Beszédes Á, Végh ÁZ, Balogh G.  2012.  Prediction of Software Development Modification Effort Enhanced by a Genetic Algorithm.
Fülöp LJ, Tóth G, Vidács L, Beszédes Á, Demeter H, Farkas L, Gyimóthy T, Balogh G.  2012.  Predictive Complex Event Processing. Proceedings of the 5th Balkan Conference in Informatics. :26–31.
Szendi I, Bagi A, Szalóki S, Hallgató E, Domján N, Kanka A, Gál BIldikó, Karcher É, Pásztor H, Jenei T et al..  2022.  Premorbid screening of healthy students may carry latent liability for schizophrenia or bipolar affective disorder with neurocognitive and neurophenomenological methods. EUROPEAN PSYCHIATRY. 65:S683-S683.
Baniata H, Kertész Attila.  2022.  PriFoB: A Privacy-aware Fog-enhanced Blockchain-based system for Global Accreditation and Credential Verification. Journal of Network and Computer Applications. 205
Hegedűs P.  2013.  A probabilistic quality model for c# - an industrial case study. ACTA CYBERNETICA - SZEGED. 21:135–147.
Bakota Tibor, Hegedűs P, Körtvélyesi P, Ferenc R, Gyimóthy T.  2011.  A probabilistic software quality model. Software Maintenance (ICSM), 2011 27th IEEE International Conference on. :243-252.
Hegedűs P.  2012.  A Probabilistic Software Quality Model for C# – an Industrial Case Study.
Nagy A, Nyúl L, Kuba A, Alexin Z, Almási L.  1997.  Problems and Solutions: One Year Experience with SZOTE-PACS. Proceedings of EuroPACS '97. :39-42.
Holló C..  2002.  A Procedure Based on Automaton Theory Approach for Solving Modified PNS Problems. Pure Mathematics and Applications. 13:159-169.
Toczki J, Gyimóthy T, Horváth T, Kocsis F.  1987.  PROF-LP user's guide.
Kiss Á.  2009.  Program Code Analysis and Manipulation.