Search Results - "Liland, Kristian Hovde"

Chicken fillets subjected to UV‐C and pulsed UV light: Reduction of pathogenic and spoilage bacteria, and changes in sensory quality by McLeod, Anette, Hovde Liland, Kristian, Haugen, John‐Erik, Sørheim, Oddvin, Myhrer, Kristine S., Holck, Askild L.

“…We have compared the efficacy of continuous ultraviolet (UV‐C) (254 nm) and pulsed UV light in reducing the viability of Salmonella Enteritidis, Listeria…”
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Cerebrospinal fluid proteome shows disrupted neuronal development in multiple sclerosis by Mosleth, Ellen F., Vedeler, Christian Alexander, Liland, Kristian Hovde, McLeod, Anette, Bringeland, Gerd Haga, Kroondijk, Liesbeth, Berven, Frode Steingrimsen, Lysenko, Artem, Rawlings, Christopher J., Eid, Karim El-Hajj, Opsahl, Jill Anette, Gjertsen, Bjørn Tore, Myhr, Kjell-Morten, Gavasso, Sonia

“…Despite intensive research, the aetiology of multiple sclerosis (MS) remains unknown. Cerebrospinal fluid proteomics has the potential to reveal mechanisms of…”
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Multivariate methods in metabolomics – from pre-processing to dimension reduction and statistical analysis by Liland, Kristian Hovde

“…This article presents some of the multivariate methods used in metabolomics, and addresses many of the data types and associated analyses of current…”
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Comparison of variable selection methods in partial least squares regression by Mehmood, Tahir, Sæbø, Solve, Liland, Kristian Hovde

“…Through the remarkable progress in technology, it is getting easier and easier to generate vast amounts of variables from a given sample. The selection of…”
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Gene Expression Response in Peripheral Blood Cells of Petroleum Workers Exposed to Sub-Ppm Benzene Levels by Jørgensen, Katarina M, Mosleth, Ellen Færgestad, Kristian Hovde Liland, Hopf, Nancy B, Holdhus, Rita, Anne-Kristin Stavrum, Gjertsen, Bjørn Tore, Kirkeleit, Jorunn

“…Altered gene expression in pathways relevant to leukaemogenesis, as well as reduced levels of circulating lymphocytes, have been reported in workers that were…”
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A review of variable selection methods in Partial Least Squares Regression by Mehmood, Tahir, Liland, Kristian Hovde, Snipen, Lars, Sæbø, Solve

“…With the increasing ease of measuring multiple variables per object the importance of variable selection for data reduction and for improved interpretability…”
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An algorithm for robust multiblock partial least squares predictive modelling by Mishra, Puneet, Liland, Kristian Hovde

“…A new algorithm for robust multiblock (data fusion) modelling in the presence of outlying observations is presented. The method is a combination of a robust…”
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Iterative re‐weighted multilinear partial least squares modelling for robust predictive modelling by Mishra, Puneet, Liland, Kristian Hovde

“…Higher order data are commonly encountered in the domain of chemometrics, often generated by advanced analytical instruments. Due to the multilinear nature of…”
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Iterative re‐weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel) by Mishra, Puneet, Liland, Kristian Hovde

“…A new method for feature selective modelling in the presence of outliers is presented. The method is a combination of iterative re‐weighted partial least…”
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On the possible benefits of deep learning for spectral preprocessing by Helin, Runar, Indahl, Ulf Geir, Tomic, Oliver, Liland, Kristian Hovde

“…Preprocessing is a mandatory step in most types of spectroscopy and spectrometry. The choice of preprocessing method depends on the data being analysed, and to…”
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microclass: an R-package for 16S taxonomy classification by Liland, Kristian Hovde, Vinje, Hilde, Snipen, Lars

“…Taxonomic classification based on the 16S rRNA gene sequence is important for the profiling of microbial communities. In addition to giving the best possible…”
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The canonical partial least squares approach to analysing multiway datasets—N‐CPLS by Liland, Kristian Hovde, Indahl, Ulf Geir, Skogholt, Joakim, Mishra, Puneet

“…Multiway datasets arise in various situations, typically from specialised measurement technologies, as a result of measuring data over varying conditions in…”
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Preprocessing of spectral data in the extended multiplicative signal correction framework using multiple reference spectra by Skogholt, Joakim, Liland, Kristian Hovde, Indahl, Ulf Geir

“…Extended multiplicative signal correction (EMSC) is a widely used framework for preprocessing spectral data. In the EMSC framework, spectra are scaled…”
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A similarity index for comparing coupled matrices by Indahl, Ulf G., Næs, Tormod, Liland, Kristian Hovde

“…Application of different multivariate measurement technologies to the same set of samples is an interesting challenge in many fields of applied data analysis…”
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Swiss knife covariates selection: A unified algorithm for covariates selection in single block, multiblock, multiway, multiway multiblock cases including multiple responses by Mishra, Puneet, Liland, Kristian Hovde, Indahl, Ulf Geir

“…A novel unified covariates selection algorithm called Swiss knife covariates selection (SKCovSel) is presented. It is suitable for selecting covariates in a…”
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Multitemporal Feature-Level Fusion on Hyperspectral and LiDAR Data in the Urban Environment by Kuras, Agnieszka, Brell, Maximilian, Liland, Kristian Hovde, Burud, Ingunn

“…Technological innovations and advanced multidisciplinary research increase the demand for multisensor data fusion in Earth observations. Such fusion has great…”
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Confidence ellipsoids for ASCA models based on multivariate regression theory by Liland, Kristian Hovde, Smilde, Age, Marini, Federico, Næs, Tormod

“…In analysis of variance simultaneous component analysis, permutation testing is the standard way of assessing uncertainty of effect level estimates. This…”
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A New Formula for Faster Computation of the K-Fold Cross-Validation and Good Regularisation Parameter Values in Ridge Regression by Liland, Kristian Hovde, Skogholt, Joakim, Indahl, Ulf Geir

“…In the present paper, we prove a new theorem, resulting in an update formula for linear regression model residuals calculating the exact k-fold…”
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Much faster cross‐validation in PLSR‐modelling by avoiding redundant calculations by Liland, Kristian Hovde, Stefansson, Petter, Indahl, Ulf Geir

“…A novel formulation of the wide kernel algorithm for partial least squares regression (PLSR) is proposed. We show how the elimination of redundant calculations…”
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Co-fermentation Involving Saccharomyces cerevisiae and Lactobacillus Species Tolerant to Brewing-Related Stress Factors for Controlled and Rapid Production of Sour Beer by Dysvik, Anna, La Rosa, Sabina Leanti, Liland, Kristian Hovde, Myhrer, Kristine S, Østlie, Hilde Marit, De Rouck, Gert, Rukke, Elling-Olav, Westereng, Bjørge, Wicklund, Trude

“…Increasing popularity of sour beer urges the development of novel solutions for controlled fermentations both for fast acidification and consistency in product…”
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