Found 37 results
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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.
Csirik J, Johnson DS.  2001.  Bounded Space On-Line Bin Packing: Best Is Better than First. Algorithmica. 31:115–138.
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.
Kocsor A, Tóth L, Kuba, Jr. A, Kovács K, Jelasity M, Gyimóthy T, Csirik J.  2000.  A Comparative Study of Several Feature Space Transformation and Learning Methods for Phoneme Classification. International Journal of Speech Technology. 2:263-276.
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.
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.
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.
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.
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.
Jelasity M, Dombi J.  1995.  GAs, a Concept of Modeling Species in Genetic Algorithms. Artificial Evolution. 1063:69–85.
Jelasity M, Dombi J.  1998.  GAS, A Concept on Modeling Species in Genetic Algorithms. Artif. Intell.. 99:1–19.
Jelasity M., Dombi J..  1995.  Gas, an approach to a solution of the niche radius problem. IEE Conference Publication. :424–429.
Hegedűs I, Danner G, Jelasity M.  2019.  Gossip Learning as a Decentralized Alternative to Federated Learning. Distributed Applications and Interoperable Systems. :74–90.
Toczki J., Gyimóthy T, Jáhni G..  1988.  Implementation of a LOTOS precompiler in PROF-LP. Proceedings of the Fourth Conference of Program Designers. :31-36.
Kiss Á, Jász J, Lehotai G., Gyimóthy T.  2003.  Interprocedural Static Slicing of Binary Executables. Proceedings of the 3rd IEEE International Workshop on Source Code Analysis and Manipulation (SCAM 2003). :118–127.
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.
Jiang X, Bunke H, Csirik J.  2004.  MEDIAN STRINGS: A REVIEW. Data Mining in Time Series Databases. :173-192.
Jenei B, Berend G, Varga L.  2019.  Proactive Minimization of Convolutional Networks. 2019 International Joint Conference on Neural Networks (IJCNN). :1-7.
Tengeri D, Vidács L, Beszédes Á, Jász J, Balogh G, Vancsics B, Gyimóthy T.  2016.  Relating Code Coverage, Mutation Score and Test Suite Reducibility to Defect Density. Proceedings of the 9th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW'16); The 11th International Workshop on Mutation Analysis (MUTATION'16). :174-179.
Ortigosa PM, García I., Jelasity M.  2001.  Reliability and Performance of UEGO, a Clustering-based Global Optimizer. Journal of Global Optimization. 19:265–289.