Blar i Publikasjoner fra Cristin - NMBU på forfatter "Indahl, Ulf Geir"
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A model to secure a stable iodine concentration in milk
Trøan, Gisken; Dahl, Lisbeth; Meltzer, Helle Margrete; Abel, Marianne Hope; Indahl, Ulf Geir; Haug, Anna; Prestløkken, Egil (Journal article; Peer reviewed, 2015) -
A similarity index for comparing coupled matrices
Indahl, Ulf Geir; Næs, Tormod; Liland, Kristian Hovde (Journal article; Peer reviewed, 2018) -
Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling
Skogholt, Joakim; Liland, Kristian Hovde; Indahl, Ulf Geir (Journal article; Peer reviewed, 2018) -
Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling
Skogholt, Joakim; Liland, Kristian Hovde; Indahl, Ulf Geir (Journal article; Peer reviewed, 2018) -
Daylength influences the response of three clover species (Trifolium spp.) to short-term ozone stress
Futsæther, Cecilia Marie; Vollsnes, Ane Victoria; Kruse, Ole Mathis Opstad; Indahl, Ulf Geir; Kvaal, Knut; Eriksen, Aud Else Berglen (Journal article; Peer reviewed, 2014)Long photoperiods characteristic of summers at high latitudes can increase ozone-induced foliar injury in subterranean clover (Trifolium subterraneum) This study compared the effects of long photoperiods on ozone injury ... -
Deriving Animal Movement Behaviors Using Movement Parameters Extracted from Location Data
Teimouri, Maryam; Indahl, Ulf Geir; Sickel, Hanne; Tveite, Håvard (Journal article; Peer reviewed, 2018) -
Fast and stable partial least squares modelling: A benchmark study with theoretical comments
Björck, Åke; Indahl, Ulf Geir (Journal article; Peer reviewed, 2017) -
Hierarchical multivariate regression-based sensitivity analysis reveals complex parameter interaction patterns in dynamic models
Tøndel, Kristin; Vik, Jon Olav; Martens, Harald; Indahl, Ulf Geir; Smith, Nic; Omholt, Stig W (Journal article; Peer reviewed, 2013) -
Land cover segmentation of airborne LiDAR data using stochastic atrous network
Arief, Hasan Asyari; Strand, Geir-Harald; Tveite, Håvard; Indahl, Ulf Geir (Journal article; Peer reviewed, 2018)Inspired by the success of deep learning techniques in dense-label prediction and the increasing availability of high precision airborne light detection and ranging (LiDAR) data, we present a research process that compares ... -
Large-scale genomic prediction using singular value decomposition of the genotype matrix
Ødegård, Jørgen; Indahl, Ulf Geir; Stranden, Ismo; Meuwissen, Theodorus (Journal article; Peer reviewed, 2018) -
Much faster cross‐validation in PLSR‐modelling by avoiding redundant calculations
Liland, Kristian Hovde; Stefansson, Petter; Indahl, Ulf Geir (Peer reviewed; Journal article, 2020) -
Non-linear shrinking of linear model errors
Helin, Runar; Indahl, Ulf Geir; Tomic, Oliver; Liland, Kristian Hovde (Journal article; Peer reviewed, 2023) -
Orders of magnitude speed increase in Partial Least Squares feature selection with new simple indexing technique for very tall data sets
Stefansson, Petter; Indahl, Ulf Geir; Liland, Kristian Hovde; Burud, Ingunn (Peer reviewed; Journal article, 2019)Feature selection is a challenging combinatorial optimization problem that tends to require a large number of candidate feature subsets to be evaluated before a satisfying solution is obtained. Because of the computational ... -
Preprocessing of spectral data in the extended multiplicative signal correction framework using multiple reference spectra
Skogholt, Joakim; Liland, Kristian Hovde; Indahl, Ulf Geir (Journal article; Peer reviewed, 2018) -
RENT—Repeated Elastic Net Technique for Feature Selection
Jenul, Anna Selina; Schrunner, Stefan; Liland, Kristian Hovde; Indahl, Ulf Geir; Futsæther, Cecilia Marie; Tomic, Oliver (Peer reviewed; Journal article, 2021) -
SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data
Arief, Hasan Asyari; Arief, Mansur Maturidi; Zhang, Guilin; Liu, Zuxin; Bhat, Manoj; Indahl, Ulf Geir; Tveite, Håvard; Zhao, Ding (Peer reviewed; Journal article, 2020)Addressing the need for high-quality, time efficient, and easy to use annotation tools, we propose SAnE, a semiautomatic annotation tool for labeling point cloud data. The contributions of this paper are threefold: (1) we ... -
Selection of principal variables through a modified Gram–Schmidt process with and without supervision
Skogholt, Joakim; Liland, Kristian Hovde; Næs, Tormod; Smilde, Age K.; Indahl, Ulf Geir (Peer reviewed; Journal article, 2023)In various situations requiring empirical model building from highly multivariate measurements, modelling based on partial least squares regression (PLSR) may often provide efficient low-dimensional model solutions. In ... -
The canonical partial least squares approach to analysing multiway datasets—N-CPLS
Liland, Kristian Hovde; Indahl, Ulf Geir; Skogholt, Joakim; Mishra, Puneet (Peer reviewed; Journal article, 2022) -
The O-PLS methodology for orthogonal signal correction—is it correcting or confusing?
Indahl, Ulf Geir (Journal article; Peer reviewed, 2017) -
Variable selection models for genomic selection using whole-genome sequence data and singular value decomposition.
Meuwissen, Theo; Indahl, Ulf Geir; Ødegård, Jørgen (Journal article; Peer reviewed, 2017)