Publications

Found 271 results
Author Keyword Title Type [ Year(Asc)]
2003
Vidács L, Beszédes Á.  2003.  Opening Up The C/C++ Preprocessor Black Box. Proceedings of the Eight Symposium on Programming Languages and Software Tools (SPLST’03). :45-57.
Paczolay D, Kocsor A, Tóth L.  2003.  Real-Time Vocal Tract Length Normalization in a Phonological Awareness Teaching System. Text, Speech and Dialogue: 6th International Conference, TSD 2003, vol. 2807. :309-314.
Beszédes Á, Ferenc R, Gyimóthy T, Dolenc A, Karsisto K.  2003.  Survey of Code-size Reduction Methods. ACM Comput. Surv.. 35:223–267.
Kovács K, Kocsor A.  2003.  Various Hyperplane Classifiers Using Kernel Feature Spaces. Acta Cybernetica. 16:271-278.
Gosztolya G, Kocsor A, Tóth L, Felföldi L.  2003.  Various Robust Search Methods in a Hungarian Speech Recognition System. Acta Cybernetica. 16:229-240.
Gosztolya G, Kocsor A, Tóth L, Felföldi L.  2003.  Various Robust Search Methods in a Hungarian Speech Recognition System. Acta Cybernetica. 16:229–240.
2002
Felföldi L, Kocsor A, Tóth L.  2002.  Classifier Combination in Speech Recognition. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :30.
Ferenc R., Beszédes A., Tarkiainen M, Gyimóthy T..  2002.  Columbus - Reverse engineering tool and schema for C++. Conference on Software Maintenance. :172–181.
Eiben A.E, Jelasity M..  2002.  A critical note on experimental research methodology in EC. Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600). 1:582-587vol.1.
Ferenc R., Beszedes A..  2002.  Data exchange with the columbus schema for c++. Proceedings of the Sixth European Conference on Software Maintenance and Reengineering. :59-66.
Paczolay D, Tóth L, Kocsor A, Kerekes J.  2002.  Gépi tanulás alkalmazása egy fonológiai tudatosság-fejlesztõ rendszerben. Alkalmazott Nyelvtudomany. II:55-67.
Faragó C, Gergely T.  2002.  Handling pointers and unstructured statements in the forward computed dynamic slice algorithm. Acta Cybern.. 15:489–508.
Kovács K, Kocsor A, Tóth L.  2002.  Hungarian Speech Synthesis Using a Phase Exact HNM Approach. SOFSEM 2002: Theory and Practice of Informatics: 29th Conference on Current Trends in Theory and Practice of Informatics, LNAI vol. 2540. :181-185.
Kocsor A, Dombi J, Bálint I.  2002.  Inequality-Based Approximation of Matrix Eigenvectors. International Journal of Applied Mathematics and Computer Science. 12:533-538.
Kocsor A.  2002.  Kernel Springy Discriminant Analysis. NATO ASI on Learning Theory and Practice (LTP 2002).
Kocsor A, Kovács K.  2002.  Kernel Springy Discriminant Analysis and Its Application to a Phonological Awareness Teaching System. Text, Speech and Dialogue : 5th International Conference, TSD 2002, LNAI vol. 2448. :325-328.
Jelasity M., PreusB M., Van Steen M., Paechter B..  2002.  Maintaining Connectivity in a Scalable and Robust Distributed Environment. 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02). :389-394.
Vicsi K, Tóth L, Kocsor A, Gordos G, Csirik J.  2002.  MTBA - magyar nyelvû telefonbeszéd-adatbázis. Híradástechnika. LVII:35-39.
Jelasity M, Preuß M.  2002.  On Obtaining Global Information in a Peer-to-Peer Fully Distributed Environment (Research Note). Euro-Par. 2400:573–577.
Jelasity M, Preuß M, Eiben A.E.  2002.  Operator Learning for a Problem Class in a Distributed Peer-to-Peer Environment. PPSN. 2439:172–183.
Gyimóthy T, Abreu FBrito e.  2002.  Proceedings of CSMR'2002.
Ferenc R, Gustafsson J., Müller L., Paakki J..  2002.  Recognizing Design Patterns in C++ programs with the integration of Columbus and Maisa. Acta Cybernetica. 15:669-682.
Jelasity M., Press M., Paechter B..  2002.  A scalable and robust framework for distributed applications. Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600). 2:1540-1545vol.2.
Szilágyi G, Gyimóthy T, Małuszyński J.  2002.  Static and Dynamic Slicing of Constraint Logic Programs. Automated Software Engineering. 9:41–65.
Goldsmith J, Sloan RH, Turán G.  2002.  Theory Revision with Queries: DNF Formulas. Machine Learning. 47:257–295.

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