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
ADVANCES IN APPLIED MATHEMATICS, 163 (Part A). ISSN 0196-8858
In: Airweb 2009. Proceedings of the 5th international workshop on adversarial information retrieval on the web. Madrid, 2009..
Statistical Methods in Medical Research, 18 (5)., pp. 453-485.
In: Lecture Notes in Computer Science.
MTA SZTAKI, Budapest.
Springer, Berlin, pp. 1-34.
Serdica Journal of Computing, 3 (200 (2)., pp. 179-204. ISSN 1312-6555
Genome Biology and Evolution, 1 (1)., pp. 153-164.
In: ADBIS 2009. Advances in databases and information systems. 13th East European conference. Riga, 2009. (Lecture notes in computer science 5739.).
Theory of Computing Systems, 45, pp. 629-646.