Steen Rasmussen

Known as: Rasmussen 
Steen Rasmussen (born 7 July 1955) is a Danish physicist mainly working in the areas of artificial life and complex systems. He is currently a… (More)
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Topic mentions per year

1945-2018
020406019452017

Papers overview

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Highly Cited
2014
Highly Cited
2014
Lars B. Holst, M.D., Nicolai Haase, M.D., Ph.D., Jørn Wetterslev, M.D., Ph.D., Jan Wernerman, M.D., Ph.D., Anne B. Guttormsen, M… (More)
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Highly Cited
2009
Highly Cited
2009
Lars Wallentin, M.D., Ph.D., Richard C. Becker, M.D., Andrzej Budaj, M.D., Ph.D., Christopher P. Cannon, M.D., Håkan Emanuelsson… (More)
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Highly Cited
2007
Highly Cited
2007
Gaussian process (GP) models are flexible probabilistic nonparametric models for regression, classification and other tasks… (More)
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Highly Cited
2006
Highly Cited
2006
Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model… (More)
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Highly Cited
2006
Highly Cited
2006
We present a new common stratigraphic time scale for the NGRIP and GRIP ice cores. The time scale covers the period 7.9–14.8 ka… (More)
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Highly Cited
2005
Highly Cited
2005
We present an infinite mixture model in which each component comprises a multivariate Gaussian distribution over an input space… (More)
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Highly Cited
2004
Highly Cited
2004
Acknowledgements: We would like to thank the following for contributions and suggestions: Bill Baxter, Brian Templeton, Christian… (More)
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Highly Cited
2004
Highly Cited
2004
We address the difficulty of image segmentation methods based on the popular level set framework to handle an arbitrary number of… (More)
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Highly Cited
2002
Highly Cited
2002
The recent abundance of genome sequence data has brought an urgent need for systematic proteomics to decipher the encoded protein… (More)
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Highly Cited
1995
Highly Cited
1995
Two features distinguish the Bayesian approach to learning models from data. First, beliefs derived from background knowledge are… (More)
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