Publications

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Szűcs V, Végh ÁZ, Kasza M, Bilicki V.  2011.  Evaluating Data Modeling Aspects for Home Telemonitoring. Proceedings of PATTERNS 2011, The Third International Conferences on Pervasive Patterns and Applications. :78-83.
Szőts M, Darányi S, Alexin Z, Vincze V, Almási A.  2010.  Semantic Processing of a Hungarian Ethnographic Corpus. Proceedings of the First International AMICUS Workshop on Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts. :112-115.
Szőke G, Nagy C, Fülöp L J, Ferenc R, Gyimóthy T.  2015.  FaultBuster: An Automatic Code Smell Refactoring Toolset. Proceedings of the 15th International Working Conference on Source Code Analysis and Manipulation (SCAM 2015). :253–258.
Szőke G, Antal G, Nagy C, Ferenc R, Gyimóthy T.  2014.  Bulk Fixing Coding Issues and Its Effects on Software Quality: Is It Worth Refactoring? Proceedings of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2014). :95–104.
Szőke G, Nagy C, Ferenc R, Gyimóthy T.  2014.  A Case Study of Refactoring Large-Scale Industrial Systems to Efficiently Improve Source Code Quality. Proceedings of the 14th International Conference on Computational Science and Its Applications (ICCSA 2014). 8583:524–540.
Szőke G, Antal G, Nagy C, Ferenc R, Gyimóthy T.  2017.  Empirical Study on Refactoring Large-scale Industrial Systems and Its Effects on Maintainability. Journal of Systems and Software. 129:107–126.
Szőke G, Nagy C, Hegedűs P, Ferenc R, Gyimóthy T.  2015.  Do Automatic Refactorings Improve Maintainability? An Industrial Case Study Proceedings of the 31st International Conference on Software Maintenance and Evolution (ICSME 2015). :429–438.
Szőke G, Nagy C, Ferenc R, Gyimóthy T.  2016.  Designing and Developing Automated Refactoring Transformations: An Experience Report. Proceedings of the 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016). :693–697.
Szilágyi G., Harmath L, Gyimóthy T.  2000.  Debug Slicing of Logic Programs. Conference of PhD Students on Computer Sciences. :43-44.
Szilágyi G., Harmath L, Gyimóthy T.  2001.  The debug slicing of logic programs. Acta Cybernetica. 15:257–278.
Szilágyi G., Gyimóthy T, Maluszynski J.  1998.  Slicing of Constraint Logic Programs. Linköping Electronic Articles in Computer and Information Science. 3:1-27.
Szilágyi G., Gyimóthy T, Małuszyński J.  2002.  Static and Dynamic Slicing of Constraint Logic Programs. Automated Software Engg.. 9:41–65.
Szilágyi G., Gyimóthy T, Maluszynski J.  2000.  Slicing of Constraint Logic Programs. AADEBUG.
Szilágyi G., Gyimóthy T.  2003.  Precise static slicing of constraint logic programs. Kalmár Workshop on Logic and Computer Science. :153-164.
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, Dujmovics-Karcher É, Pásztor H, Jenei T et al..  2021.  Szkizofrénia és bipoláris affektív zavar kifejlődése iránt alacsony kockázatot mutató egészséges egyetemisták premorbid szűrése neurokognitív és neurofenomenológiai módszerekkel. PSYCHIATRIA HUNGARICA. 36:120-121.
Szegedi A, Gergely Tamás, Beszédes Á, Gyimóthy T, Tóth G.  2007.  Verifying the Concept of Union Slices on Java Programs. Proceedings of the 11th European Conference on Software Maintenance and Reengineering (CSMR'07). :233-242.
Szegedi A, Gyimóthy T.  2004.  Dynamic Slicing of Programs Compiled for the Java VirtualMachine. Volume of Extended Abstracts of the 4th Conference of PhD Students in Computer Science. :115.
Szegedi A, Gyimóthy T.  2005.  Dynamic Slicing of Java Bytecode Programs. Proceedings of the Fifth IEEE International Workshop on Source Code Analysis and Manipulation. :35–44.
Szauter D, Vincze V, Almási A, Alexin Z, Kiss M.  2009.  Morfoszintaktikailag annotált néprajzi korpusz. VI. Magyar Számítógépes Nyelvészeti Konferencia: MSZNY 2009. :386-389.
Szalma J, Bánhalmi A, Bilicki V.  2018.  Detection of Respiratory Effort-Related Arousals Using a Hidden Markov Model and Random Decision Forest. 2018 Computing in Cardiology Conference (CinC).
Szabó Z, Bilicki V, Berta Á, Jánki ZRichárd.  2018.  Smartphone-based data collection with stunner, the reality of peer-to-peer connectivity and web real-time communications using crowdsourcing: lessons learnt while cleaning the data. International Journal On Advances in Software. 11(1-2):120-130.
Szabó Z, Téglás K, Berta Á, Jelasity M, Bilicki V.  2019.  Stunner: A Smart Phone Trace for Developing Decentralized Edge Systems. Lecture Notes in Computer Science. vol 11534(Pereira J., Ricci L. (eds) Distributed Applications and Interoperable Systems. DAIS 2019)
Szabó Z, Bilicki V, Berta Á, Jánki ZRichárd.  2017.  Smartphone-based Data Collection with Stunner Using Crowdsourcing: Lessons Learnt while Cleaning the Data. IARIA Conference. Best paper award. Twelfth International Multi-Conference on Computing in the Global Information Technology (ICCGI 2017). :28-35.
Soti Z., Almási L, Alexin Z, Nagy A, Nyúl L, Csernay L.  1998.  Image Presentation in the SZOTE-PACS. Magyar Radiológusok Társasága XIX. Kongresszusa.