Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
Lecture Notes in Computer Science, 3861, pp. 83-91.
In: MLG 2010. Proceedings of the 8th workshop on mining and learning with graphs, in conjunction with SIGKDD 2010. Washington, 2010..
Polygon, Szeged, pp. 97.
In: 50th Annual ACM Symposium on Theory of Computing, STOC 2018 Association for Computing Machinery, New York, pp. 51-64.
Lecture Notes in Computer Science, 3933, pp. 188-201.
In: IEEE INFOCOM 2010. 29th conference on computer communications. Proceedings. San Diego, 2010..
In: Frequent Itemset Mining Implementations.Proceedings of the Workshop FIMI'04, Brighton (CEUR-WS 126).
JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 81, pp. 1373-1386. ISSN 0022-0000
NEUROSCIENCE LETTERS, 662, pp. 17-21. ISSN 0304-3940
Acta Scientiarum Mathematicarum, 73, pp. 783-809.