Publications

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Journal Article
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
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.
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.
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.
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.
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.
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.
Baniata H, Kertész A.  2024.  Partial Pre-Image Attack on Proof-of-Work based Blockchains. Blockchain: Research and Applications.
Hegedűs P, Bán D, Ferenc R, Gyimóthy T.  2012.  Myth or Reality? Analyzing the Effect of Design Patterns on Software Maintainability Communications in Computer and Information Science. 340:138–145.
Bilicki V.  2012.  Mobil telefon alapú személyi egyszségtár egy K+F projektben.
Holló C., Blázsik Z, Imreh C., Kovács Z.  1999.  On a Merging Reduction of the Process Network Synthesis Problem. Acta Cybernetica. 14:251-261.
Bilicki V, Végh ÁZ, Szűcs V.  2011.  Klinikai döntéstámogató rendszerek és a Telemedicina. IME : Informatika és menedzsment az egészségügyben. X:50-54.
Kertész Attila, Kecskemeti G, Brandic I..  2014.  An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous Cloud environments. Future Generation Computer Systems. 32:54-68.
Alexin Z, Gyimóthy T, Boström H.  1997.  IMPUT: An Interactive Learning Tool Based on Program Specialization. Intelligent Data Analysis. 1:219–244.
Schrettner L, Jász Judit, Gergely Tamás, Beszédes Á, Gyimóthy T.  2014.  Impact Analysis in the Presence of Dependence Clusters Using Static Execute After in WebKit. Journal of Software: Evolution and Process. 26:569-588.
Bilicki V, Kasza M, Szűcs V, Molnár G.  2009.  Homokháti Small Area Living Lab Benefiting The Agricultural Sector In Hungary. eJOV. 11:83-100.
Baniata H., Sharieh A., Mahmood S., Kertesz A..  2020.  Graft: A model for evaluating actuator systems in terms of force production. Sensors (Switzerland). 20
Beszédes Á.  2015.  Global Dynamic Slicing for the C Language. Acta Polytechnica Hungarica. 12:117-136.
Binkley D, Danicic S, Gyimóthy T, Harman M, Kiss Á, Korel B.  2006.  A Formalisation of the Relationship between Forms of Program Slicing. Science of Computer Programming. 62:228–252.
Baniata H, Kertész A.  2021.  FoBSim: an extensible open-source simulation tool for integrated fog-blockchain systems. PeerJ Computer Science. vol 7
Kicsi A, Csuvik V, Vidács L, Horváth F, Beszédes Á, Gyimothy T, Kocsis F.  2019.  Feature Analysis using Information Retrieval, Community Detection and Structural Analysis Methods in Product Line Adoption. Journal of Systems and Software. 155:70-90.
Blázsik Z, Holló C., Imreh B.  1998.  Explicit bounds for the number of feasible solutions of special PNS-problem classes. Pure Mathematics and Applications. 9:17-27.
Beszédes Á, Schrettner L, la Csaba B, Gergely Tamás, Jász Judit, Gyimóthy T.  2015.  Empirical Investigation of SEA-Based Dependence Cluster Properties. Science of Computer Programming. 105:3-25.
Gyimóthy T, Beszédes Á, Forgács I.  1999.  An efficient relevant slicing method for debugging. SIGSOFT Softw. Eng. Notes. 24:303–321.