Publications

Found 305 results
Author Keyword [ Title(Desc)] Type Year
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D
Thury A., Kókai G., Csirik J., Gyimóthy T, Csanády M..  1998.  Development of SPECG System for Automated ECG Analysis. XXVth International Congress on Electrocardiology and 39th International Vectorcardiography. :37.
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.
Tóth L, Kocsor A, Kovács K.  2000.  A Discriminative Segmental Speech Model and its Application to Hungarian Number Recognition. Text, Speech and Dialogue: Third International Workshop, TSD 2000, LNAI vol. 1902. :307-313.
Gosztolya G, Busa-Fekete R, Grósz T, Tóth L.  2017.  DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification. Proceedings of Interspeech. :3522–3526.
Gosztolya G, Tóth L.  2017.  DNN-based Feature Extraction for Conflict Intensity Estimation from Speech. IEEE Signal Processing Letters. 24:1837–1841.
Csapó TGábor, Grósz T, Gosztolya G, Tóth L, Markó A.  2017.  DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface. Proceedings of Interspeech. :3672–3676.
Szőke G, Nagy C, Hegedüs 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'15. :429–438.
Jiang X., Abegglen K., Bunke H., Csirik J.  2003.  Dynamic computation of generalised median strings. Pattern Analysis & Applications. 6:185–193.
Jiang X., Abegglen K., Bunke H., Csirik J.  2003.  Dynamic Computation of Generalised Median Strings. Pattern Anal. Appl.. 6:185–193.
Harmath L., Szilágyi G., Gyimóthy T, Csirik J..  1999.  Dynamic Slicing of Logic Programs: Program analysis and verification. The Sixth Fenno-Ugric Symposium on Software Technology. :101-113.
E
Bunke H, Csirik J.  1992.  Edit distance of run-length coded strings. SAC. :137–143.
Paakki J., Gyimóthy T, Horváth T..  1994.  Effective Algorithmic Debugging for Inductive Logic Programming. GMD-Studien. 237:175-194.
Berend G.  2020.  Efficient algorithm to compute Markov transitional probabilities for a desired PageRank. EPJ Data Science. 9:23.
Forgács I., Gyimóthy T.  1996.  An Efficient Interprocedural Slicing Method for Large Programs. 9th International Conference on Software Engineering and Knowledge Engineering. :279-287.
Gyimóthy T, Beszédes Á, Forgács I.  1999.  An Efficient Relevant Slicing Method for Debugging. Software Engineering –- ESEC/FSE '99. :303–321.
Váradi T, Simon E, Sass B, Mittelholcz I, Novák A, Indig B, Farkas R, Vincze V.  2018.  E-magyar -- A Digital Language Processing System. Proceedings of the Eleventh International Conference on Language Resources and Evaluation. :1307-1312..
Hegedüs P, Kádár I, Ferenc R, Gyimóthy T.  2018.  Empirical evaluation of software maintainability based on a manually validated refactoring dataset. Information and Software Technology. 95:313-327.
Gábor S, Gábor A, 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.
Csuvik V, Kicsi A, Vidács L.  2019.  Evaluation of Textual Similarity Techniques in Code Level Traceability. Proceedings of the 19th International Conference on Computational Science and Its Applications (ICCSA 2019). :529-543.
Csirik J, Kellerer H, Woeginger GJ.  1992.  The exact LPT-bound for maximizing the minimum completion time. Oper. Res. Lett.. 11:281–287.
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.
Morris R.J, Kent J.T., Mardia K.V, Aykroyd R.G., Fidrich M., Linney A..  1999.  Exploratory Analysis of Facial Growth. Spatial Temporal Modelling and its Applications
Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).
Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).
Antal G, Keleti M, Hegedűs P.  2020.  Exploring the Security Awareness of the Python and JavaScript Open Source Communities. Proceedings of the 17th International Conference on Mining Software Repositories (MSR). :16–20.

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