Browsing Journal articles (peer reviewed) by Author "Liland, Kristian Hovde"
Now showing items 21-40 of 52
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Encoder–decoder neural networks for predicting future FTIR spectra – application to enzymatic protein hydrolysis
Kuchta, Miroslav; Wubshet, Sileshi Gizachew; Afseth, Nils Kristian; Mardal, Kent-Andre; Liland, Kristian Hovde (Peer reviewed; Journal article, 2022)In the process of converting food-processing by-products to value-addedingredients, fine grained control of the rawmaterials, enzymes and process conditionsensures the best possible yield and eco-nomic return. However, ... -
fixedTimeEvents: An R package for the distribution of distances between discrete events in fixed time
Liland, Kristian Hovde; Snipen, Lars-Gustav (Peer reviewed; Journal article, 2016)When a series of Bernoulli trials occur within a fixed time frame or limited space, it is often interesting to assess if the successful outcomes have occurred completely at random, or if they tend to group together. One ... -
FTIR-based hierarchical modeling for prediction of average molecular weights of protein hydrolysates
Kristoffersen, Kenneth Aase; Liland, Kristian Hovde; Böcker, Ulrike; Wubshet, Sileshi Gizachhew; Lindberg, Diana; Horn, Svein Jarle; Afseth, Nils Kristian (Journal article; Peer reviewed, 2019)In the presented study, Fourier-transform infrared (FTIR) spectroscopy is used to predict the average molecular weight of protein hydrolysates produced from protein-rich by-products from food industry using commercial ... -
Gene expression response in peripheral blood cells of petroleum workers exposed to sub-ppm benzene levels
Jørgensen, Katarina Mariann; Mosleth, Ellen Færgestad; Liland, Kristian Hovde; Hopf, Nancy Brenna; Holdhus, Rita; Stavrum, Anne-Kristin; Gjertsen, Bjørn Tore; Kirkeleit, Jorunn (Journal article; Peer reviewed, 2018) -
Gene Expression Response in Peripheral Blood Cells of Petroleum Workers Exposed to Sub-Ppm Benzene Levels
Jørgensen, Katarina Mariann; Mosleth, Ellen Færgestad; Liland, Kristian Hovde; Hopf, Nancy Brenna; Holdhus, Rita; Stavrum, Anne-Kristin; Gjertsen, Bjørn Tore; Kirkeleit, Jorunn (Peer reviewed; Journal article, 2018) -
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
Huynh, Bao Ngoc; Grøndahl, Aurora Rosvoll; Tomic, Oliver; Liland, Kristian Hovde; Knudtsen, Ingerid Søberg Skjei; Hoebers, Frank; van Elmpt, Wouter; Malinen, Eirik; Dale, Einar; Futsæther, Cecilia Marie (Peer reviewed; Journal article, 2023) -
hoggorm: a python library for explorative multivariate statistics
Tomic, Oliver; Graff, Thomas; Liland, Kristian Hovde; Næs, Tormod (Peer reviewed; Journal article, 2019) -
Iterative re-weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)
Mishra, Puneet; Liland, Kristian Hovde (Peer reviewed; Journal article, 2022) -
Iterative re-weighted multilinear partial least squares modelling for robust predictive modelling
Mishra, Puneet; Liland, Kristian Hovde (Journal article; Peer reviewed, 2023) -
microclass: An R-package for 16S taxonomy classification
Liland, Kristian Hovde; Vinje, Hilde; Snipen, Lars-Gustav (Journal article; Peer reviewed, 2017)Background Taxonomic classification based on the 16S rRNA gene sequence is important for the profiling of microbial communities. In addition to giving the best possible accuracy, it is also important to quantify uncertainties ... -
micropan: An R-package for microbial pan-genomics
Snipen, Lars-Gustav; Liland, Kristian Hovde (Journal article; Peer reviewed, 2015) -
Mining online community data: The nature of ideas in online communities
Christensen, Kasper Knoblauch; Liland, Kristian Hovde; Kvaal, Knut; Risvik, Einar; Biancolillo, Alessandra; Scholderer, Joachim; Nørskov, Sladjana; Næs, Tormod (Journal article; Peer reviewed, 2017)Ideas are essential for innovation and for the continuous renewal of a firm’s product offerings. Previous research has argued that online communities contain such ideas. Therefore, online communities such as forums, Facebook ... -
Model-based pre-processing in Raman spectroscopy of biological samples
Liland, Kristian Hovde; Kohler, Achim; Afseth, Nils Kristian (Journal article; Peer reviewed, 2016)Model-based pre-processing has become wide spread in spectroscopy and is the standard procedure in Fourier-transform infrared spectroscopy. It has also been shown to give valuable contributions in Raman spectroscopy. ... -
Model-based pre-processing in Raman spectroscopy of biological samples
Liland, Kristian Hovde; Kohler, Achim; Afseth, Nils Kristian (Journal article; Peer reviewed, 2016)Model-based pre-processing has become wide spread in spectroscopy and is the standard procedure in Fourier-transform infrared spectroscopy. It has also been shown to give valuable contributions in Raman spectroscopy. ... -
Much faster cross‐validation in PLSR‐modelling by avoiding redundant calculations
Liland, Kristian Hovde; Stefansson, Petter; Indahl, Ulf Geir (Peer reviewed; Journal article, 2020) -
Multitemporal Feature-Level Fusion on Hyperspectral and LiDAR Data in the Urban Environment
Kuras, Agnieszka Kinga; Brell, Maximilian; Liland, Kristian Hovde; Burud, Ingunn (Peer reviewed; Journal article, 2023) -
Near infrared hyperspectral imaging in transmission mode: assessing the weathering of thin wood samples
Smeland, Knut Arne; Liland, Kristian Hovde; Sandak, Jakub; Sandak, Anna; Gobakken, Lone Ross; Thiis, Thomas Kringlebotn; Burud, Ingunn (Journal article; Peer reviewed, 2016) -
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)