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Harald Martens
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2020 – today
- 2024
- [j11]Daniel Menges, Adil Rasheed, Harald Martens, Torbjørn Pedersen:
Real-Time Predictive Condition Monitoring Using Multivariate Data. IEEE Trans. Image Process. 33: 5703-5714 (2024)
2010 – 2019
- 2017
- [j10]Serge Gale, Hodjat Rahmati, Jan Tommy Gravdahl, Harald Martens:
Improvement of a Robotic Manipulator Model Based on Multivariate Residual Modeling. Frontiers Robotics AI 4: 28 (2017) - 2015
- [j9]Eberhard O. Voit, Harald A. Martens, Stig W. Omholt:
150 Years of the Mass Action Law. PLoS Comput. Biol. 11(1) (2015) - [c2]Hodjat Rahmati, Harald Martens, Ole Morten Aamo, Øyvind Stavdahl, Ragnhild Støen, Lars Adde:
Frequency-based features for early cerebral palsy prediction. EMBC 2015: 5187-5190 - 2014
- [j8]Øyvind Nordbø, Pablo Lamata, Sander Land, Steven A. Niederer, Jan M. Aronsen, William E. Louch, Ivar Sjaastad, Harald Martens, Arne B. Gjuvsland, Kristin Tøndel, Hans Torp, Maélène Lohezic, Jürgen E. Schneider, Espen W. Remme, Nicolas Smith, Stig W. Omholt, Jon Olav Vik:
A computational pipeline for quantification of mouse myocardial stiffness parameters. Comput. Biol. Medicine 53: 65-75 (2014) - 2013
- [c1]Tim Wu, Harald Martens, Peter J. Hunter, Kumar Mithraratne:
Estimating muscle activation patterns using a surrogate model of facial biomechanics. EMBC 2013: 7172-7175 - 2012
- [j7]Kristin Tøndel, Ulf G. Indahl, Arne B. Gjuvsland, Stig W. Omholt, Harald Martens:
Multi-way metamodelling facilitates insight into the complex input-output maps of nonlinear dynamic models. BMC Syst. Biol. 6: 88 (2012) - 2011
- [j6]Tahir Mehmood, Harald Martens, Solve Sæbø, Jonas Warringer, Lars Snipen:
A Partial Least Squares based algorithm for parsimonious variable selection. Algorithms Mol. Biol. 6: 27 (2011) - [j5]Tahir Mehmood, Harald Martens, Solve Saebo, Jonas Warringer, Lars Snipen:
Mining for Genotype-Phenotype Relations in Saccharomyces using Partial Least Squares. BMC Bioinform. 12: 318 (2011) - [j4]Kristin Tøndel, Ulf G. Indahl, Arne B. Gjuvsland, Jon Olav Vik, Peter J. Hunter, Stig W. Omholt, Harald Martens:
Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models. BMC Syst. Biol. 5: 90 (2011)
2000 – 2009
- 2009
- [j3]Harald Martens, Siren R. Veflingstad, Erik Plahte, Magni Martens, Dominique Bertrand, Stig W. Omholt:
The genotype-phenotype relationship in multicellular pattern-generating models - the neglected role of pattern descriptors. BMC Syst. Biol. 3: 87 (2009) - 2005
- [j2]Garmt Dijksterhuis, Harald Martens, Magni Martens:
Combined Procrustes analysis and PLSR for internal and external mapping of data from multiple sources. Comput. Stat. Data Anal. 48(1): 47-62 (2005) - [j1]Harald Martens, Endre Anderssen, Arnar Flatberg, Lars Halvor Gidskehaug, Martin Høy, Frank Westad, Anette Thybo, Magni Martens:
Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR. Comput. Stat. Data Anal. 48(1): 103-123 (2005)
Coauthor Index
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