Blar i Brage NMBU på forfatter "Liland, Kristian Hovde"
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4S Peak Filling – baseline estimation by iterative mean suppression
Liland, Kristian Hovde (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) -
A systematic search for discriminating sites in the 16S ribosomal RNA gene
Vinje, Hilde; Almøy, Trygve; Liland, Kristian Hovde; Snipen, Lars (Journal article; Peer reviewed, 2014) -
Analysis of Megavariate Data in Functional Omics
Mosleth, Ellen Færgestad; McLeod, Anette; Rud, Ida; Axelsson, Lars; Solberg, Lars Erik; Moen, Birgitte; Gilman, Krista Marie Erickson; Færgestad, Eline Mosleth; Lysenko, Artem; Rawlings, Chris; Dankel, Simon N; Mellgren, Gunnar; Barajas-Olmos, Francisco Martin; Orozco, Lorena Sofia; Sæbø, Solve; Gidskehaug, Lars; Janbu, Astrid Oust; Kohler, Achim; Martens, Harald Aagaard; Liland, Kristian Hovde (Chapter, 2020) -
Analysis of proteins from cerebrospinal fluid tests in search of biomarkers characterizing Multiple sclerosis
El-Hajj Eid, Karim (Master thesis, 2020)There are contradicting theories describing Multiple sclerosis (MS). This study attempts to understand MS through interpreting the bio-markers of MS. Recursive feature elimination with cross validation (RFECV) was used to ... -
Automated redaction of historical documents using machine learning
Hetland, Petter Kolstad; Sigerstad, Tomas (Master thesis, 2021)This thesis aims to assist Arkivverket, The National Archival Services of Norway, in automating the redaction of national identity numbers in historical documents. As historical documents are released to the public at ... -
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) -
Cerebrospinal fluid proteome shows disrupted neuronal development in multiple sclerosis
Mosleth, Ellen Færgestad; Vedeler, Christian Alexander; Liland, Kristian Hovde; McLeod, Anette; Bringeland, Gerd Haga; Kroondijk, Liesbeth; Berven, Frode Steingrimsen; Lysenko, Artem; Rawlings, Christopher J.; El-Hajj Eid, Karim; Opsahl, Jill Anette; Gjertsen, Bjørn Tore; Myhr, Kjell-Morten; Gavasso, Sonia (Peer reviewed; Journal article, 2021)Despite intensive research, the aetiology of multiple sclerosis (MS) remains unknown. Cerebrospinal fluid proteomics has the potential to reveal mechanisms of MS pathogenesis, but analyses must account for disease ... -
Characterization of Oxidative Stability of Fish Oil- and Plant Oil-Enriched Skimmed Milk
Saga, Linda; Kristinova, Vera; Kirkhus, Bente; Jacobsen, Charlotte; Skaret, Josefine; Liland, Kristian Hovde; Rukke, Elling-Olav (Journal article; Peer reviewed, 2013) -
Children’s sweet tooth: Explicit ratings vs. Implicit bias measured by the Approach avoidance task (AAT)
Galler, Martina; Mikkelsen, Emma; Næs, Tormod; Liland, Kristian Hovde; Ares, Gastón; Varela, Paula (Peer reviewed; Journal article, 2021)The study aimed to assess the application of the Approach avoidance task (AAT) with children to measure implicit motivational tendencies towards foods differing in sweetness and calorie content and to explore the relationship ... -
Co-fermentation Involving Saccharomyces cerevisiae and Lactobacillus Species Tolerant to Brewing-Related Stress Factors for Controlled and Rapid Production of Sour Beer
Dysvik, Anna; Leanti La Rosa, Sabina; Liland, Kristian Hovde; Myhrer, Kristine S.; Østlie, Hilde Marit; De Rouck, Gert; Rukke, Elling-Olav; Westereng, Bjørge; Wicklund, Trude (Peer reviewed; Journal article, 2020)Increasing popularity of sour beer urges the development of novel solutions for controlled fermentations both for fast acidification and consistency in product flavor and quality. One possible approach is the use of ... -
Comparative study of NER using Bi-LSTM-CRF with different word vectorisation techniques on DNB documents
Joseph, Meera (Master thesis, 2021)The presence of huge volumes of unstructured data in the form of pdf documents poses a challenge to the organizations trying to extract valuable information from it. In this thesis, we try to solve this problem as per the ... -
Comparing K-mer based methods for improved classification of 16S sequences
Vinje, Hilde; Liland, Kristian Hovde; Almøy, Trygve; Snipen, Lars-Gustav (Journal article; Peer reviewed, 2015) -
Comparison of variable selection methods in partial least squares regression
Mehmood, Tahir; Sæbø, Solve; Liland, Kristian Hovde (Peer reviewed; Journal article, 2020) -
Computer vision for surface analysis of stretch wrapped pallets
Dramstad, Morten (Master thesis, 2020)The majority of the handling of goods in a distribution center is performed automatically, except removing of stretch film from arriving pallets. The use of cameras and artificial intelligence to analyze the pallets, decide ... -
Confidence ellipsoids for ASCA models based on multivariate regression theory
Liland, Kristian Hovde; Smilde, Age K.; Marini, Federico; Næs, Tormod (Journal article; Peer reviewed, 2018) -
Deep convolutional neural network recovers pure absorbance spectra from highly scatter‐distorted spectra of cells
Magnussen, Eirik Almklov; Solheim, Johanne Heitmann; Blazhko, Uladzislau; Tafintseva, Valeria; Tøndel, Kristin; Liland, Kristian Hovde; Dzurendova, Simona; Shapaval, Volha; Sandt, Christophe; Borondics, Ferenc; Kohler, Achim (Peer reviewed; Journal article, 2020) -
Designing a risk-based surveillance program for Mycobacterium avium ssp. paratuberculosis in Norwegian dairy herds using multivariate statistical process control analysis
Whist, Anne C; Liland, Kristian Hovde; Jonsson, Malin E; Sæbø, Solve; Sviland, Ståle; Østerås, Olav; Norström, Madelaine; Hopp, Petter (Journal article; Peer reviewed, 2014)Surveillance programs for animal diseases are critical to early disease detection and risk estimation and to documenting a population’s disease status at a given time. The aim of this study was to describe a risk-based ... -
Detection and quantification of rot in harvested trees using convolutional neural networks
Nowell, Tyrone Carlisle (Master thesis, 2019)Root and Butt-Rot (RBR) is having a significant economic impact on the forest industry and is expected to increase with climate change. The current management strategies are becoming less effective, and little data on ...