Publications

Found 304 results
[ Author(Desc)] Keyword Title Type Year
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J
Jelasity M., Dombi J..  1995.  Gas, an approach to a solution of the niche radius problem. IEE Conference Publication. :424–429.
Jelasity M, Dombi J.  1995.  GAs, a Concept of Modeling Species in Genetic Algorithms. Artificial Evolution. 1063:69–85.
Jelasity M.  2000.  Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics. Parallel Problem Solving from Nature PPSN VI. :755–764.
Jelasity M.  2001.  The shape of evolutionary search : discovering and representing search space structure.
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.
Jelasity M.  1997.  A Wave Analysis of the Subset Sum Problem. ICGA. :89–96.
Jelasity M.  1998.  UEGO, an Abstract Niching Technique for Global Optimization. PPSN. 1498:378–387.
Jelasity M, Ortigosa PMartínez, García I.  2001.  UEGO, an Abstract Clustering Technique for Multimodal Global Optimization. Journal of Heuristics. 7:215–233.
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.
Jenei B, Berend G, Varga L.  2019.  Proactive Minimization of Convolutional Networks. 2019 International Joint Conference on Neural Networks (IJCNN). :1-7.
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.
Jiang X, Bunke H, Csirik J.  2004.  MEDIAN STRINGS: A REVIEW. Data Mining in Time Series Databases. :173-192.
K
Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. Computational Science and Its Applications – ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part IV. :610–624.
Kádár I, Hegedüs P, Ferenc R.  2014.  Runtime Exception Detection in Java Programs Using Symbolic Execution. Acta Cybernetica. 21:331–352.
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.
Kádár I, Hegedüs P, Ferenc R, Gyimóthy T.  2016.  A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. Proceedings of the 12th International Conference on Predictive Models and Data Analytics in Software Engineering. :10:1–10:4.
Kádár I, Hegedüs P, Ferenc R.  2015.  Adding Constraint Building Mechanisms to a Symbolic Execution Engine Developed for Detecting Runtime Errors. Proceedings of the International Conference on Computational Science and Its Applications – ICCSA 2015. 9159:20-35.
Kálmán M., Havasi F., Gyimóthy T.  2003.  Compacting XML Documents. SPLST. :137-151.
Kalmár Z, Szepesvári C, Lörincz A.  1998.  Module-Based Reinforcement Learning: Experiments with a Real Robot. Machine Learning. 31:55–85.
Kertész-Farkas A, Fülöp Z, Kocsor A.  2003.  Magyar nyelvû szótárak tömör reprezentációja nemdeterminisztikus automatákkal. I. Magyar Számítógépes Nyelvészet Konferencia. :231-237.
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.
Kicsi A, Vidács L, Gyimothy T.  2020.  TestRoutes: A Manually Curated Method Level Dataset for Test-to-Code Traceability. Proceedings of the 17th International Conference on Mining Software Repositories, MSR 2020. :593-597.
Kicsi A, Vidács L, Csuvik V, Horváth F, Beszédes Á, Kocsis F.  2018.  Supporting Product Line Adoption by Combining Syntactic and Textual Feature Extraction. New Opportunities for Software Reuse - 17th International Conference on Software Reuse (ICSR 2018). :1-16.

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