Harald Martens

O. Nordbø, P. Lamata, S. Land, S. A. Niederer, J. M. Aronsen, W. E. Louch, I. Sjaastad, H. Martens, A. B. Gjuvsland, K. Tøndel, H. Torp, M. Lohezic, J. E. Schneider, E. W. Remme, N. P. Smith and S. W. Omholt

A computational pipeline for quantification of mouse myocardial stiffness parameters

Computers in Biology and Medicine

K. Tøndel and H. Martens

Analyzing complex mathematical model behavior by Partial Least Squares Regression-based Multivariate Metamodeling

Wiley Interdisciplinary Reviews: Computational Statistics

V. Tafintseva, K. Tøndel, A. Ponosov and H. Martens

Global structure of sloppiness in a nonlinear model

Journal of Chemometrics

K. Tøndel, J. O. Vik, H. Martens, U. G. Indahl, N. P. Smith and S. W. Omholt

Hierarchical Multivariate Regression-Based Sensitivity Analysis Reveals Complex Parameter Interaction Patterns in Dynamic Models

Chemometrics and Intelligent Laboratory Systems

H. Martens, K. Tøndel, V. Tafintseva, A. Kohler, E. Plathe, J. O. Vik, A. B. Gjuvsland and S. W. Omholt

PLS-Based Multivariate Metamodeling of Dynamic Systems

New Perspectives in Partial Least Squares and Related Methods

K. Tøndel, U. G. Indahl, A. B. Gjuvsland, S. W. Omholt and H. Martens

Multi-Way Metamodelling Facilitates Insight Into the Complex Input-Output Maps of Nonlinear Dynamic Models

BMC Systems Biology

K. Tøndel, U. G. Indahl, A. B. Gjuvsland, J. O. Vik, P. J. Hunter, S. W. Omholt and H. Martens

Hierarchical Cluster-Based Partial Least Squares Regression Is an Efficient Tool for Metamodelling of Nonlinear Dynamic Models

BMC Systems Biology

H. Martens, I. Måge, K. Tøndel, J. Isaeva, M. Høy and S. Sæbø

Multi-Level Binary Replacement (MBR) Design for Computer Experiments in High-Dimensional Nonlinear Systems

Journal of Chemometrics

K. Tøndel, A. B. Gjuvsland, I. Måge and H. Martens

Screening Design for Computer Experiments: Metamodelling of a Deterministic Mathematical Model of the Mammalian Circadian Clock

Journal of Chemometrics