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
In: 3D Data Processing, Visualization, and Transmission. Proceedings of the 2nd International Symposium Thessaloniki, 3DPVT 2004.
Pattern Recognition Letters, 27, pp. 1201-1208.
In: Manufacturing Systems. Digital Enterprises, Production Networks, Proceedings of the 37th CIRP International Seminar Budapest.
Springer Verlag, pp. 535-601.
GENETIC PROGRAMMING AND EVOLVABLE MACHINES, 5 (3)., pp. 271-290.
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
Advances in Computational Mathematics, 24 (1-4)., pp. 311-331.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..
In: GraphiCon 2006. 16th international conference on computer graphics and applications. Novosibirsk, 2006..
COMPUTER-AIDED DESIGN & APPLICATIONS, 1 (1-4)., pp. 691-700.