Jelasity M.  2001.  The shape of evolutionary search : discovering and representing search space structure.

Jiang X, Bunke H, Csirik J.  2004.  MEDIAN STRINGS: A REVIEW. Data Mining in Time Series Databases. :173-192.

Ortigosa P.M, García I., Jelásity M..  2001.  Two Approaches for Parallelizing the UEGO Algorithm. Optimization Theory: Recent Developments from Mátraháza. :159–177.

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.

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.

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.

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.

Jelasity M, Dombi J.  1995.  GAs, a Concept of Modeling Species in Genetic Algorithms. Artificial Evolution. 1063:69–85.

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.

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.

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.

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.

Kocsor A, A., Jr. K, László T, Márk J, László F, Tibor G, János C.  1999.  A Segment-Based Statistical Speech Recognition System for Isolated/Continuous Number Recognition. Proceedings of the 6th Fenno-Ugric Symposium on Software Technology (FUSST'99). :201-211.

Szabó Z, Téglás K, Berta Á, Jelasity M, Bilicki V.  2019.  Stunner: A Smart Phone Trace for Developing Decentralized Edge Systems. Distributed Applications and Interoperable Systems. :108–115.

Csirik J, Johnson DS, Kenyon C, Orlin JB, Shor PW, Weber RR.  2000.  On the Sum-of-squares Algorithm for Bin Packing. Proceedings of the Thirty-second Annual ACM Symposium on Theory of Computing. :208–217.

Tóth L, Nagy B, Janthó D, Vidács L, Gyimóthy T.  2019.  Towards an Accurate Prediction of the Question Quality at Stack Overflow Using a Deep-Learning-Based NLP Approach. Proceedings of ICSOFT 2019, 14th International Conference on Software Technologies. :631-639.

Jelasity M.  2000.  Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics. Parallel Problem Solving from Nature PPSN VI. :755–764.

Jelasity M.  1998.  UEGO, an Abstract Niching Technique for Global Optimization. PPSN. 1498:378–387.

Jelasity M.  1997.  A Wave Analysis of the Subset Sum Problem. ICGA. :89–96.