Publications

Found 18 results
Author Keyword [ Title(Asc)] Type Year
Filters: First Letter Of Title is D  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
D
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.
Jiang X., Abegglen K., Bunke H., Csirik J.  2003.  Dynamic Computation of Generalised Median Strings. Pattern Anal. Appl.. 6:185–193.
Jiang X., Abegglen K., Bunke H., Csirik J.  2003.  Dynamic computation of generalised median strings. Pattern Analysis & Applications. 6:185–193.
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.
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.
Gosztolya G, Tóth L.  2017.  DNN-based Feature Extraction for Conflict Intensity Estimation from Speech. IEEE Signal Processing Letters. 24:1837–1841.
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.
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.
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.
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.
Vidács L, Dévai R, Ferenc R, Gyimóthy T.  2012.  Developer Support for Understanding Preprocessor Macro Expansions. Proceedings of International Conference on Advanced Software Engineering & Its Applications (ASEA 2012). 340:121-130.
Faragó C, Hegedüs P.  2018.  Developer Focus: Lack of Impact on Maintainability. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2018. 10964:391–402.
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.
Blázsik Z., Holló C., Imreh B..  1998.  On Decision-mappings Related to Process Network Synthesis Problem. Acta Cybern.. 13:319–328.
Hegedűs I, Danner G, Jelasity M.  2020.  Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning. Machine Learning and Knowledge Discovery in Databases. :317–332.
Berta Á, Jelasity M.  2017.  Decentralized management of random walks over a mobile phone network.. Proceedings of the 25th Euromicro Conference on Parallel, Distributed and Network-Based Processing. :100–107.
Szilágyi G., Harmath L., Gyimóthy T..  2001.  The Debug slicing of logic programs. Acta Cybernetica. 15:257–278.
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.