C
Clemens Beckstein
Researcher at University of Jena
Publications - 31
Citations - 1044
Clemens Beckstein is an academic researcher from University of Jena. The author has contributed to research in topics: Knowledge representation and reasoning & Logic programming. The author has an hindex of 7, co-authored 31 publications receiving 957 citations. Previous affiliations of Clemens Beckstein include University of Erlangen-Nuremberg & Schiller International University.
Papers
More filters
Journal ArticleDOI
Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes
Antje Moffat,Dario Papale,Markus Reichstein,David Y. Hollinger,Andrew D. Richardson,Alan Barr,Clemens Beckstein,Bobby H. Braswell,Galina Churkina,Ankur R. Desai,Eva Falge,Jeffrey H. Gove,Martin Heimann,Dafeng Hui,Andy Jarvis,Jens Kattge,Asko Noormets,Vanessa J. Stauch +17 more
TL;DR: In this paper, 15 techniques for estimating missing values of net ecosystem CO 2 exchange (NEE) in eddy covariance time series and evaluate their performance for different artificial gap scenarios based on a set of 10 benchmark datasets from six forested sites in Europe.
Journal ArticleDOI
Characterization of ecosystem responses to climatic controls using artificial neural networks
TL;DR: In this paper, an inductive approach based on artificial neural networks (ANNs) is presented to extract the relationships to be extracted directly from the data, which provides instant insight in the underlying ecosystem physiology and links the observational relationships to their representation in the modeling world.
Journal ArticleDOI
A neural network approach for the optimisation of watershed management
TL;DR: A neural net-based method capable of ‘inverting’ a hydrological model to identify land use scenarios that match best the leaching criteria defined for establishing a certain water quality level in the stream is presented.
Journal ArticleDOI
Structure, function, and behaviour of computational models in systems biology
TL;DR: A conceptual framework – the meaning facets – which can be used to rigorously specify the semantics of bio-models is presented and constitutes a basis for computer-aided collaborative research.
Journal Article
A Meta Level Architecture For Workflow Management
Clemens Beckstein,J. Klausner +1 more
TL;DR: This work proposes a meta level architecture for WFMSs providing an explicit and dynamic meta model that can do intelligent failure handling, but can also support the workflow modelling and execution processes.