Publications

Found 73 results
Author Keyword Title [ Type(Asc)] Year
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Journal Article
Tóth L, Hoffmann I, Gosztolya G, Vincze V, Szatlóczki G, Bánréti Z, Pákáski M, Kálmán J.  2018.  A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech. Current Alzheimer Research. 15:130–138.
Turán G, Vatan F.  1996.  A Size-Depth Trade-Off for the Analog Computation of Boolean Functions. Inf. Process. Lett.. 59:251–254.
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.
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.
Alon N., Azar Y., Csirik J., Epstein L., Sevastianov S.V, Vestjens A.PA, Woeginger G.J.  1998.  On-Line and Off-Line Approximation Algorithms for Vector Covering Problems. Algorithmica. 21:104–118.
Csirik J, van Vliet A.  1993.  An on-line algorithm for multidimensional bin packing. Oper. Res. Lett.. 13:149–158.
Vinkó T, Ratz D.  2004.  A Multidimensional Branch-and-Prune Method for Interval Global Optimization. Numerical Algorithms. 37:391–399.
Vicsi K, Tóth L, Kocsor A, Gordos G, Csirik J.  2002.  MTBA - magyar nyelvû telefonbeszéd-adatbázis. Híradástechnika. LVII:35-39.
Gosztolya G, Vincze V, Tóth L, Pákáski M, Kálmán J, Hoffmann I.  2019.  Identifying Mild Cognitive Impairment and mild Alzheimer’s disease based on spontaneous speech using ASR and linguistic features. Computer, Speech & Language. 53:181–197.
Kicsi A, Csuvik V, Vidács L, Horváth F, Beszédes Á, Gyimóthy 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.
Gergely T, Balogh G, Horvath F, Vancsics B, Beszedes A, Gyimothy T.  2019.  Differences between a static and a dynamic test-to-code traceability recovery method. SOFTWARE QUALITY JOURNAL. 27:797-822.
Ferenc R, Viszkok T, Aladics T, Jász J, Hegedűs P.  2020.  Deep-water framework: The Swiss army knife of humans working with machine learning models. SoftwareX. 12:100551.
Faragó C, Hegedüs P, Végh ÁZoltán, Ferenc R.  2014.  Connection Between Version Control Operations and Quality Change of the Source Code. {Acta Cybernetica}. 21:585–607.
Turán G, Vatan F.  1997.  On the Computation of Boolean Functions by Analog Circuits of Bounded Fan-In. J. Comput. Syst. Sci.. 54:199–212.
Vidács L, Beszédes Á, Gyimóthy T.  2009.  Combining preprocessor slicing with C/C++ language slicing. Science of Computer Programming. 74:399-413.
Gergely T, Balogh G, Horváth F, Vancsics B, Beszédes Á, Gyimóthy T.  2018.  Analysis of Static and Dynamic Test-to-code Traceability Information. Acta Cybernetica. 23:903-919.
Conference Proceedings
Zsolt S, Alex S-N, István NT, Ádám C-K, Vincze V, Farkas R.  2018.  Relevance Segmentation of Long Documents. XIV. Magyar Számítógépes Nyelvészeti Konferencia. :405-412.
Conference Paper
Tóth L, Nagy B, Gyimóthy T, Vidács L.  2020.  Why Will My Question Be Closed? NLP-Based Pre-Submission Predictions of Question Closing Reasons on Stack Overflow Proceedings of the 42nd International Conference on Software Engineering, NIER Track (ICSE 2020). :105-108.
Csuvik V, Horváth D, Horváth F, Vidács L.  2020.  Utilizing Source Code Embeddings to Identify Correct Patches. Proceedings of the Second International Workshop on Intelligent Bug Fixing (IBF 2020). :18-25.
Vincze V, Farkas R, Szántó Z, Simkó KIlona.  2017.  Universal Dependencies and Morphology for Hungarian - and on the Price of Universality. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, {EACL} 2017, Valencia, Spain, April 3-7, 2017, Volume 1: Long Papers. :356–365.
Tóth L, Nagy B, Janthó D, Vidács L, Gyimóthy T.  2019.  Towards an Accurate Prediction of the Question Quality at Stack Overflow Using a Deep-Learning-Based NLP Approach. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :631-639.
Vidács L, Beszédes Á, Tengeri D, Siket I, Gyimóthy T.  2014.  Test Suite Reduction for Fault Detection and Localization: a Combined Approach. Proceedings of CSMR-WCRE 2014 Software Evolution Week (European Conference on Software Maintenance and Reengineering and Working Conference on Reverse Engineering). :204-213.

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