Publications

Found 305 results
Author Keyword [ Title(Desc)] Type Year
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 
A
Toczki J., Simon E., Garai T., Kocsis T., Gyimóthy T.  1986.  Automatic compiler generation. Proceedings of 1st Symposium on Automata, Languages and Programming Systems. :289-297.
Toczki J., Gyimóthy T, Kocsis F., Horváth T..  1988.  Automatic Software Generation in Practice: New Features in the HLP/PAS System. Specialized Languages as Tools for Programming Technology. :103–119.
B
Szepesvári C, Lörincz A.  1993.  Behavior of an Adaptive Self-organizing Autonomous Agent Working with Cues and Competing Concepts. Adaptive Behaviour. 2:131–160.
Csirik J., Johnson DS, Kenyon C.  2001.  Better approximation algorithms for bin covering. Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms. :557–566.
Tengeri D, Beszédes Á, Gergely T, Vidács L, Havas D, Gyimóthy T.  2015.  Beyond Code Coverage - an Approach for Test Suite Assessment and Improvement. Software Testing, Verification and Validation Workshops (ICSTW), TAIC-PART 2015, IEEE Eighth International Conference on. :1-7.
Csirik J, Johnson DS.  2001.  Bounded Space On-Line Bin Packing: Best Is Better than First. Algorithmica. 31:115–138.
Chrobak M, Csirik J, Imreh C, Noga J, Sgall J, Woeginger GJ.  2001.  The Buffer Minimization Problem for Multiprocessor Scheduling with Conflicts. ICALP. 2076:862–874.
Csirik J, Imreh C, Noga J, Seiden SS, Woeginger GJ.  2001.  Buying a Constant Competitive Ratio for Paging. Algorithms –- ESA 2001. :98–108.
C
Gosztolya G, Busa-Fekete R.  2019.  Calibrating AdaBoost for Phoneme Classification. Soft Computing. 23:115–128.
Gosztolya G, Tóth L.  2019.  Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection From Audio Data. Proceedings of Interspeech. :515–519.
Ferenc R, Hegedűs P, Gyimesi P, Antal G, Bán D, Gyimóthy T.  2019.  Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. :8–14.
Turán G, J Y.  2015.  Characterizability in belief revision. 24th International Joint Conference on Artificial Intelligence. :3236-3242.
Jelasity M., Toth B., Vinko T..  1999.  Characterizations of trajectory structure of fitness landscapes based on pairwise transition probabilities of solutions. Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406). 1:623-630Vol.1.
Felföldi L, Kocsor A, Tóth L.  2002.  Classifier Combination in Speech Recognition. Conference of PhD students on Computer Sciences, Volume of Extended Abstracts. :30.
Kókai G., Alexin Z., Gyimóthy T.  1996.  Classifying ECG Waveforms in Prolog. :173-199.
Hodován R, Kiss Á, Gyimóthy T.  2017.  Coarse Hierarchical Delta Debugging. Proceedings of the 33rd IEEE International Conference on Software Maintenance and Evolution (ICSME 2017). :194–203.
Horvath F, Gergely T, Beszedes A, Tengeri D, Balogh G, Gyimothy T.  2019.  Code coverage differences of Java bytecode and source code instrumentation tools. SOFTWARE QUALITY JOURNAL. 27:79-123.
Horváth F, Gergely T, Beszédes Á, Tengeri D, Balogh G, Gyimóthy T.  2017.  Code Coverage Differences of Java Bytecode and Source Code Instrumentation Tools. Software Quality Journal.
Faragó C, Hegedüs P, Ferenc R.  2015.  Code Ownership: Impact on Maintainability. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2015. 9159:3-19.
Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. Proceedings of the 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER). 1:599-603.
Vidács L, Pinzger M.  2018.  Co-evolution Analysis of Production and Test Code by Learning Association Rules of Changes. 2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2018). :31-36.
Michael L., Kakas A., Miller R., Turán G.  2015.  Cognitive programming. 3rd International Workshop on Artificial Intelligence and Cognition. :3-18.
Ferenc R., Beszédes A., Tarkiainen M, Gyimóthy T..  2002.  Columbus - Reverse engineering tool and schema for C++. Conference on Software Maintenance. :172–181.
Ferenc R, Magyar F, Beszédes Á, Kiss Á, Tarkiainen M.  2001.  Columbus – Tool for Reverse Engineering Large Object Oriented Software Systems. Proceedings of the 7th Symposium on Programming Languages and Software Tools (SPLST 2001). :16–27.
Vidács L, Beszédes Á, Gyimóthy T.  2009.  Combining preprocessor slicing with C/C++ language slicing. Science of Computer Programming. 74:399-413.

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