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: 10th ACM Conference on Recommender Systems, RecSys 2016 RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems ACM Press, New York, pp. 425-426.
In: Airweb 2006. Proceedings of the 2nd international workshop on adversarial information retrieval on the web. Seattle, 2006..
In: CLEF 2011. Conference on multilingual and multimodal information access evaluation, 2010-11-30, Amsterdam, Hollandia.
In: 5th Biennial Conference on Innovative Data Systems Research.
In: WWW 2006. 15th international World Wide Web conference. Edinburgh, 2006..
PROCEDIA COMPUTER SCIENCE, 7, pp. 136-138. ISSN 1877-0509
In: CIDR 2011. 5th biennial conference on innovative data systems research, 2010-11-30, Asilomar, Amerikai Egyesült Államok.
Magyar Tudomány, 166 (11)., pp. 1325-1331.
Lecture Notes in Artificial Intelligence, 4212, pp. 759-766.
In: QDB 2011. 9th international workshop on quality in databases, 2010-11-30, Seattle, Amerikai Egyesült Államok.