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: Proceedings of the ACM Recommender Systems Challenge 2018 on - RecSys Challenge '18, pp. 1-4.
In: ICMLA'05. 4th international conference on machine learning and applications. Proceedings. Los Angeles, 2005..
SIGKDD Explorations, 9 (2)., pp. 53-56.
In: TRECVID 2009. TREC video retrieval evaluation. Working Notes..
In: CIDR 2011. 5th biennial conference on innovative data systems research, 2010-11-30, Asilomar, Amerikai Egyesült Államok.
In: 14th IEEE International Conference on Peer-to-Peer Computing, IEEE P2P IEEE Press, Los Alamitos, pp. 5.
In: 1st Workshop on Temporal Reasoning in Recommender Systems, RecTemp 2017, 2017.08.27-2017.08.31, Como, Italy.
MATHEMATICAL PROGRAMMING, 84 (3)., pp. 483-503.
In: VLDB 2006. First international workshop on business intelligence for the real time enterprise (BIRTE). Seoul, 2006..
In: Airweb 2008. Proceedings of the 4th international workshop on adversarial information retrieval on the web. Beijing, 2008..