Vitenskapelige nettverk

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Artikler

  1. Puneet Mishra, Kristian Hovde Liland, Ulf Geir Indahl,
    Swiss Knife Covariates Selection (SKCovSel) : A unified algorithm for covariates selection in single block, multiblock, multiway, multiway multiblock cases including multiple responses
    Journal of Chemometrics , (2022), in press.
  2. Puneet Mishra, Kristian Hovde Liland, Junli Xu, Thanh Tran,
    META-PLS modelling: An integrated approach to automatic model optimization for near-infrared spectra
    Analytica Chimica Acta 1221, (2022).
  3. Kristian Hovde Liland, Ulf Geir Indahl, Joakim Skogholt, Puneet Mishra,
    The Canonical Partial Least Squares approach to analysing Multiway datasets – N-CPLS
    Journal of Chemometrics 36(7), (2022).
  4. Miroslav Kuchta, Sileshi Gizachew Wubshet, Nils Kristian Afseth, Kent-André Mardal, Kristian Hovde Liland,
    Encoder-decoder neural networks for predicting future FTIR spectra – application to enzymatic protein hydrolysis
    Journal of Biophotonics 17(9), (2022).
  5. Kristian Hovde Liland, Roman Svoboda, Giorgio Luciano, Nikita Muravyev,
    Neural networks applied in kinetic analysis of complex nucleation-growth processes: Outstanding solution for fully overlapping reaction mechanisms
    Journal of Non-Crystalline Solids 588, (2022).
  6. Puneet Mishra, Kristian Hovde Liland,
    Swiss knife partial least-squares (SKPLS): one tool for modelling single block, multiblock, multiway, multiway multiblock including multi-responses and meta information under the ROSA framework
    Analytica Chimica Acta 1209, (2022).
  7. Anna Jenul, Stefan Shrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsæther, Oliver Tomic,
    RENT – Repeated Elastic Net Technique for Feature Selection
    IEEE Access 9, (2021).
  8. Martina Galler, Emma Mikkelsen, Tormod Næs, Kristian Hovde Liland, Gastón Ares, Paula Varela,
    Children’s sweet tooth: explicit ratings vs implicit bias measured by the Approach avoidance task (AAT)
    Food Quality and Preference 96(104416), (2021).
  9. Runar Helin, Ulf Geir Indahl, Oliver Tomic, Kristian Hovde Liland,
    On the possible benefits of deep learning for spectral pre-processing
    Journal of Chemometrics 36(2), (2022).
  10. Giorgio Luciano, Serena Berretta, Kristian Hovde Liland, Gavin J. Donley, Simon A. Rogers,
    oreo: An R Package For Large Amplitude OscillatoryAnalysis.
    SoftwareX 15, (2021), #100769.
  11. Marit Kvalvåg Pettersen, Julie Nilsen-Nygaard, Anlaug Ådland Hansen, Mats Carlehög, Kristian Hovde Liland,
    Effect of absorber capacity and key packaging parameters on drip loss and quality of chicken breast fillets.
    Foods 10(1340), (2021).
  12. Bjørn C. Schirmer, Kristian Hovde Liland, Lene Øverby, Ida Skaar, Cathrine F. Kure,
    Suitability of FTIR as identification method for problem moulds in the meat industry.
    Journal of Applied Microbiology 131(5), (2021), pp. 2308-2316.
  13. Fatih Kahriman, Kristian Hovde Liland,
    SelectWave: A Graphical User Interface for Wavelength Selection and Spectral Data Analysis.
    Chemometrics and Intelligent Laboratory Systems 212(104275), (2021).
  14. Ellen Færgestad Mosleth, Christian Alexander Vedeler, Kristian Hovde Liland, Anette McLeod, Gerd Haga Bringland, Liesbeth Kroondijk, Frode Berven, Artem Lysenko, Christopher J. Rawlings, Karim El-
    Hajj Eid, Jill Anette Opsahl, Bjørn Tore Gjertsen, Kjell-Morten Myhr and Sonia Gavasso,
    Cerebrospinal fluid proteome shows disrupted neuronal development in multiple sclerosis.
    Scientific Reports – Nature 11(4087), (2021).
  15. Giorgio Luciano, Kristian Hovde Liland, M. Marsotto, Roman Svoboda, Serena Berretta,
    takos: An R Package For Thermal Analysis Calculations.
    SoftwareX 12, (2020), #100637.
  16. Jun Niimi, Kristian Hovde Liland, Oliver Tomic, David W. Jeffery, Susan E. P. Bastian, Paul K. Boss,
    Prediction of wine sensory properties using mid-infrared spectra of Cabernet Sauvignon and Chardonnay grape berries and wines.
    Food Chemistry 344, (2021).
  17. Eirik Almklov Magnussen, Johanne Heitmann Solheim, Uladzislau Blazhko, Valeria Tafintseva, Kristin Tøndel, Kristian Hovde Liland, Simona Dzurendova, Volha Shapaval, Christophe Sandt, Ferenc Borondics, Achim Kohler,
    Deep Convolutional Neural Network Recovers Pure Absorbance Spectra from Highly Scatter-distorted Spectra of Cells.
    Journal of Biophotonics 13(12), (2020), e202000204.
  18. Sissel Beate Rønning, Cathrine Rein Carlson, Jan Magnus Aronsen, Addolorata Pisconti, Vibeke Høst, Marianne Lunde, Kristian Hovde Liland, Ivar Sjaastad, Svein Olav Kolset, Geir Christensen, Mona Elisabeth Pedersen,
    Syndecan-4–/– Mice Have Smaller Muscle Fibers, Increased Akt/mTOR/S6K1 and Notch/HES-1 Pathways, and Alterations in Extracellular Matrix Components.
    Frontiers in Cell and Developmental Biology 8, (2020), p. 730.
  19. Tormod Næs, Rosaria Romano, Oliver Tomic, Ingrid Måge, Age Smilde, Kristian Hovde Liland,
    Sequential and orthogonalized PLS (SO-PLS) regression for path analysis: Order of blocks and relations between effects.
    Journal of Chemometrics 35(10), (2021).
  20. Marie Skov Pedersen, Kristian Hovde Liland, Tove Gulbrandsen Devold, Elling-Olav Rukke, Elin Mittet, Reidar Barfod Schüller,
    Rheological methods for characterization of industrially produced jam
    Annual Transactions – The Nordic Rheology Society, (2020), pp. 33-39
  21. Quoc Cuong Nguyen, Kristian Hovde Liland, Oliver Tomic, Amparo Tarrega, Paula Varela, Tormod Næs,
    SO-PLS as an alternative approach for handling multi-dimensionality in modelling different aspects of consumer expectations
    Food Research International 133, (2020).
  22. Arild Hetland, Maria Vistnes, Kristina Hermann Haugaa, Kristian Hovde Liland, Margareth Olseng,
    Thor Edvardsen,
    Obstructive sleep apnea versus central sleep apnea: prognosis in systolic heart failure
    Cardiovascular Diagnosis and Therapy 10(3), (2020).
  23. Anna Dysvik, Sabina Leanti La Rosa, Kristian Hovde Liland, Kristine Myhrer, Hilde Marit Østlie, Gert De Rouck, Elling-Olav Rukke, Bjørge Westereng, Trude Wicklund,
    Co-fermentation involving Saccharomyces cerevisiae and Lactobacillus species tolerant to brewing-related stress factors for controlled and rapid production of sour beer
    Frontiers in Microbiology 11(279), (2020).
  24. Tahir Mehmood, Solve Sæbø, Kristian Hovde Liland,
    Comparison of variable selection methods in Partial Least Squares Regression
    Journal of Chemometrics 34(6), (2020).
  25. Anna Dysvik, Sabina Leanti La Rosa, Fanny Buffetto, Kristian Hovde Liland, Kristine S. Myhrer, Elling-Olav Rukke, Trude Wicklund, Bjørge Westereng,
    Secondary lactic acid bacteria fermentation with wood-derived xylooligosaccharides as a tool to expedite sour beer production
    Journal of Agricultural and Food Chemistry 68(1), (2020), pp. 301-314.
  26. Kristian Hovde Liland, Petter Stefansson, Ulf Geir Indahl,
    Much faster cross-validation in PLSR-modelling by avoiding
    redundant calculations

    Journal of Chemometrics 34(3), (2020).
  27. Petter Stefansson, Kristian Hovde Liland, Thomas Kringlebotn, Ingunn Burud,
    Fast method for GA-PLS with simultaneous feature selection and identification of optimal preprocessing technique for datasets with many observations
    Journal of Chemometrics 34(3), (2020).
  28. Oliver Tomic, Thomas Graff, Kristian Hovde Liland, Tormod Næs,
    hoggorm: a python library for explorative multivariate statistics
    The Journal of Open Source Software 4(39):980, (2019).
  29. Kenneth Aase Kristoffersen, Kristian Hovde Liland, Ulrike Böcker, Sileshi Gizachew Wubshet, Diana Lindberg, Svein Jarle Horn and Nils Kristian Afseth,
    FTIR-based hierarchical modeling for prediction of average molecular weights of protein hydrolysates
    Talanta 205, (2019).
  30. Karen Wahlstrøm Sanden, Achim Kohler, Nils Kristian Afseth, Ulrike Böcker, Sissel Beate Rønning, Kristian Hovde Liland, Mona E. Pedersen,
    The use of FTIR spectroscopy to characterize connective tissue components in skeletal muscle of Atlantic cod (Gadus morhua L.)
    Journal of Biophotonics 12(9), (2019).
  31. Petter Stefansson, Ulf Geir Indahl, Kristian Hovde Liland, Ingunn Burud,
    Orders of magnitude speed increase in Partial Least Squares feature selection with new simple indexing technique for very tall data sets
    Journal of Chemometrics 33(11), (2019), e3141.
  32. Anna Dysvik, Kristian Hovde Liland, Kristine S. Myhrer, Bjørge Westereng, Elling-Olav Rukke, Gert De Rouck, Trude Wicklund,
    Pre-fermentation with lactic acid bacteria in sour beer production
    Journal of the Institute of Brewing 125(3), (2019), pp. 342-356.
  33. Rosaria Romano, Oliver Tomic, Kristian Hovde Liland, Age Smilde, Tormod Næs,
    A comparison of two PLS based approaches to Structural Equation Modeling
    Journal of Chemometrics 33(3), (2019), e3105.
  34. Even Heir, Kristian Hovde Liland, Mats Carlehög, Askild Holck,
    Reduction and inhibition of Listeria monocytogenes in cold-smoked salmon by Verdad N6, a buffered vinegar fermentate, and UV-C treatments International
    Journal of Food Microbiology 291(16), (2019), pp. 48-58.
  35. Joakim Skogholt, Kristian Hovde Liland, Ulf Geir Indahl,
    Pre-processing of spectral data in the extended multiplicative signal correction framework using multiple reference spectra
    Journal of Raman Spectroscopy 50(3), (2019), pp. 407-417.
  36. Katarina M. Jørgensen, Ellen Færgestad Mosleth, Kristian Hovde Liland, Nancy B. Hopf, Rita Holdhus, Anne-Kristin Stavrum, Bjørn Tore Gjertsen, Jorunn Kirkeleit,
    Global Gene Expression Response in Peripheral Blood Cells of Petroleum Workers Exposed to Sub-ppm Benzene Levels
    International Journal of Environmental Research and Public Health 15(11), (2018).
  37. Askild Holck, Mats Carlehög, Kristian Hovde Liland, Even Heir,
    Reductions of Listeria monocytogenes on cold-smoked and raw salmon fillets by UV-C and pulsed UV light
    Innovative Food Science and Emerging Technologies 50, (2018), pp. 1-10.
  38. Eirik Nataas Hanssen, Kristian Hovde Liland, Peter Gill, Lars Snipen,
    Optimizing body fluid recognition from microbial taxonomic pro files
    Forensic Science International: Genetics 37, (2018), pp. 12-20.
  39. Ulf Geir Indahl, Kristian Hovde Liland, Tormod Næs,
    A similarity index for comparing coupled matrices
    Journal of Chemometrics 32(e3049), (2018).
  40. Kristian Hovde Liland, Age Smilde, Federico Marini, Tormod Næs,
    Confidence ellipsoids for ASCA models based on multivariate regression theory
    Journal of Chemometrics 32(5), (2018).
  41. Anette McLeod, Kristian Hovde Liland, John-Erik Haugen, Oddvin Sørheim, Kristine S. Myhrer, Askild Holck,
    Chicken fillets subjected to UV-C and pulsed UV light: reduction of pathogenic and spoilage bacteria, and changes in sensory quality
    Journal of Food Safety 38(1), (2018), pp. 1-15.
  42. Joakim Skogholt, Kristian Hovde Liland, Ulf G. Indahl,
    Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling
    Journal of Chemometrics 32(3), (2018), pp. 1-18.
  43. Askild L. Holck, Kristian Hovde Liland, Signe M. Drømtorp, Mats Carlehög, Anette McLeod,
    Comparison of UV-C and pulsed UV light treatments for reduction of Salmonella, Listeria monocytogenes and enterohemorrhagic Escherichia coli on eggs
    Journal of Food Protection 81(1), (2018), pp. 6-16.
  44. Anette McLeod, Ellen F. Mosleth, Ida Rud, Filipe Branco dos Santos, Lars Snipen, Kristian Hovde Liland, Lars Axelsson,
    Effects of glucose availability in Lactobacillus sakei; metabolic change and regulation of the proteome and transcriptome
    PLoS ONE November 3, (2017).
  45. Kasper Christensen, Kristian Hovde Liland, Knut Kvaal, Einar Risvik, Alessandra Biancolillo, Joachim Scholderer, Sladjana Nørskov, Tormod Næs,
    Mining online community data: The nature of ideas in online communities
    Food Quality and Preference 62, (2017), pp. 246-256.
  46. Kristian Hovde Liland, Hilde Vinje, Lars Snipen,
    microclass: an R-package for 16S taxonomy classification
    BMC Bioinformatics 18:172, (2017).
  47. Christian Encina-Zelada, Vasco Cadavez, Jorge Pereda, Luz Gómez-Pando, Bettit Salvá-Ruíz, José A Teixeira, Martha Ibáñez, Kristian Hovde Liland, Ursula Gonzales-Barron,
    Estimation of Composition of Quinoa (Chenopodium quinoa Willd.) Grains by Near-Infrared Transmission Spectroscopy
    LWT – Food Science and Technology 79, (2017), pp. 126-134.
  48. Tormod Næs, Ingunn Berget, Kristian Hovde Liland, Gaston Ares, Paula Varela,
    Estimating and interpreting more than two components in projective mapping: INDSCAL vs. Multiple Factor Analysis (MFA)
    Food Quality and Preference 58, (2017), pp. 45-60.
  49. Arild Hetland, Kristina H. Haugaa, Maria Vistnes, Kristian Hovde Liland, Margareth Olseng, Morten B. Jacobsen, Thor Edvardsen,
    A Retrospective Analysis of Cardiovascular Outcomes in Patients Treated with ASV
    Scandinavian Cardiovascular Journal 51(2), (2017), pp. 106-113.
  50. Knut Arne Smeland, Kristian Hovde Liland, Jakub Sandak, Anna Sandak, Lone Ross Gobakken, Thomas Kringlebotn Thiis, Ingunn Burud,
    NIR hyperspectral imaging in transmission mode: Assessing the weathering of thin wood samples
    Journal of Near Infrared Spectroscopy 24, (2016), pp. 595-604.
  51. Kristian Hovde Liland, Lars Gustav Snipen,
    fixedTimeEvents: An R package for the distribution of distances between discrete events in fixed time
    SoftwareX 5, (2016), pp. 227-233.
  52. Kristian Hovde Liland, Tormod Næs, Ulf Geir Indahl,
    ROSA – a fast extension of Partial Least Squares Regression for Multiblock Data Analysis
    Journal of Chemometrics 30:11 (2016), pp. 651-662.
  53. Alessandra Biancolillo, Kristian Hovde Liland, Ingrid Måge, Tormod Næs, Rasmus Bro,
    Variable selection in multi-block regression
    Chemometrics and Intelligent Laboratory Systems 156, (2016), pp. 89-101.
  54. Kristian Hovde Liland, Achim Kohler, Nils Kristian Afseth,
    Model-based pre-processing in Raman spectroscopy of biological samples
    Journal of Raman Spectroscopy 47:6 (2016), pp. 643-650.
  55. Hilde Vinje, Kristian Hovde Liland, Trygve Almøy, Lars Snipen,
    Comparing K-mer based methods for improved classification of 16S sequences
    BMC Bioinformatics 16:205 (2015).
  56. Trygve Helgerud, Jens P. Wold, Morten B. Pedersen, Kristian Hovde Liland, Simon Ballance, Svein H. Knutsen, Elling O. Rukke, Nils K. Afseth,
    Towards on-line prediction of dry matter content in whole unpeeled potatoes using near-infrared spectroscopy
    Talanta 143 (2015), pp. 138-144.
  57. Lars Snipen, Kristian Hovde Liland,
    micropan: an R-package for microbial pan-genomics
    BMC Bioinformatics 16:79 (2015).
  58. Kristian Hovde Liland,
    4S Peak Filling – Baseline estimation by iterative mean suppression
    MethodsX 2 (2015), pp. 135-140.
  59. Kristian Hovde Liland, Achim Kohler, Volha Shapaval,
    Hot PLS – a framework for Hierarchically Ordered Taxonomic classification by Partial Least Squares
    Chemometrics and Intelligent Laboratory Systems. 138(15) (2014).
  60. Anne Cathrine WhistKristian Hovde Liland, Malin Elisabet Jonsson, Solve Sæbø, Ståle Sviland, Olav Østerås, Madelaine Norström, Petter Hopp,
    Designing a Risk-based Surveillance Program for Mycobacterium avium ssp. paratuberculosis in Norwegian Dairy Herds Using Multivariate Statistical Process Control Analysis
    Journal of Dairy Science. 97 (2014), pp. 1-15.
  61. Hilde Vinje, Trygve Almøy, Kristian Hovde Liland, Lars Snipen,
    A systematic search for discriminating sites in the 16S ribosomal RNA gene
    Microbial Informatics and Experimentation 4(2) (2014).
  62. Hanne Larsen, Kristian Hovde Liland,
    Determination of O2 and CO2 transmission rate of whole packages and single perforations in micro-perforated packages for fruit and vegetables
    Journal of Food Engineering 119(2) (2013), pp. 271-276.
  63. Pere Gou, Eva Santos-Garcés, Martin Høy, Jens Petter Wold, Kristian Hovde Liland, Elena Fulladosa,
    Feasibility of NIR interactance hyperspectral imaging for on-line measurement of crude composition in vacuum packed dry-cured ham slices
    Meat Science 95(2) (2013), pp. 250-255.
  64. Kristian Hovde Liland, Martin Høy, Harald Martens, Solve Sæbø,
    Distribution based truncation for variable selection in subspace methods for multivariate regression
    Chemometrics and Intelligent Laboratory Systems 122(15) (2013), pp. 103-111.
  65. Anna Telaar, Kristian Hovde Liland, Dirk Repsilber, Gerd Nürnberg,
    An Extension of PPLS-DA for Classification and Comparison to Ordinary PLS-DA
    PLOS ONE 8(2) (2013), pp. 1-13.
  66. Vinh Tanh Phung, Mamta Khatri, Kristian Hovde Liland, Erik Slinde, Oddvin Sørheim, Trygve Almøy, Kristin Saarem, Bjørg Egelandsdal,
    Mitochondrial oxygen consumption in permeabilized fibers and its link to colour changes in bovine M. semimembranosus muscle
    Meat Science 91(1) (2013), pp. 128-137.
  67. Linda C. Saga, Vera Kristinova, Bente Kirkhus, Charlotte Jacobsen, Josefine Skaret, Jens Petter Wold, Kristian Hovde Liland, Elling-Olav Rukke,
    Characterization of oxidative stability of fish oil and plant oil enriched skimmed milk
    Journal of the American Oil Chemists’ Society (2012).
  68. Tahir Mehmood, Kristian Hovde Liland, Lars Snipen, Solve Sæbø,
    A Review of Variable Selection Methods in Partial Least Squares Regression
    Chemometrics and Intelligent Laboratory Systems 118 (2012), pp. 62-69.
  69. Davide Porcellato, Hilde M. Østlie, Kristian Hovde Liland, Knut Rudi, Tomas Isaksson, Siv Borghild Skeie,
    Strain level characterization of non starter lactic acid bacteria in Norvegia cheese by high resolution melt analysis
    Journal of Dairy Science 95(9) (2012), pp. 4804-4812.
  70. Linda C. Saga, Kristian Hovde Liland, Rune Bang Leistad, Arne Reimers, Elling-Olav Rukke,
    Relating fatty acid composition in human fingertip blood to age, gender, nationality and n-3 supplementation in the Scandinavian population
    International Journal of Food Sciences and Nutrition 63(7) (2012), pp. 790-795.
  71. Kristian Hovde Liland, Elling-Olav Rukke, Elisabeth Fjærvoll Olsen, Tomas Isaksson,
    Customized baseline correction
    Chemometrics and Intelligent Laboratory Systems 109(1) (2011), pp. 51-56.
  72. Linda C. Saga, Elling-Olav Rukke, Kristian Hovde Liland, Bente Kirkhus, Bjørg Egelandsdal, Jan Karlsen, Jon Volden,
    Oxidative Stability of Polyunsaturated Edible Oils Mixed With Microcrystalline Cellulose
    Journal of the American Oil Chemists 88(12) (2011), pp. 1883-1895.
  73. Linda C. Saga, Ulrikke B. Selmer, Kristian Hovde Liland, Tomas Isaksson, Reidar Barfod Schüller, Elling-Olav Rukke,
    Rheological characterization of oil saturated powder blends based on experimental design and multivariate analysis
    Annual Transactions – The Nordic Rheology Society 19 (2011), pp. 207-213.
  74. Kristian Hovde Liland,
    Multivariate methods in metabolomics – from pre-processing to dimension reduction and statistical analysis
    Trends in Analytical Chemistry 30(6) (2011), pp.  827-841.
  75. Kristian Hovde Liland, Trygve Almøy, Bjørn-Helge Mevik,
    Optimal Baseline Correction for Multivariate Calibration Using Open-Source Software
    American Laboratory 43(4) (2011), pp. 13-16.
  76. Julia Isaeva, Solve Sæbø, John Andreas Wyller, Kristian Hovde Liland, Ellen Mosleth Færgestad, Rasmus Bro, Harald Martens,
    Using GEMANOVA to explore the pattern generating properties of the Delta-Notch model,
    Journal of Chemometrics 24(10) (2010), pp. 626-634.
  77. Ragnhild Aabøe Inlingstad, Tove G. Devold, Ellen K. Eriksen, Halvor Holm, Morten Jacobsen, Kristian Hovde Liland, Elling O. Rukke, Gerd E. Vegarud,
    Comparison of the digestion of caseins and whey proteins in equine, bovine, caprine and human milks by human gastrointestinal enzymes,
    Dairy Science Technology 90 (2010), pp. 549-563.
  78. Kristian Hovde Liland, Trygve Almøy, Bjørn-Helge Mevik,
    Optimal Choice of Baseline Correction for Multivariate Calibration of Spectra,
    Applied Spectroscopy 64(9) (2010), pp. 1007-1016.
  79. Kristian Hovde Liland, Bjørn-Helge Mevik, Elling-Olav Rukke, Trygve Almøy, Tomas Isaksson,
    Quantitative whole spectrum analysis with MALDI-TOF MS,
    Part II: Determining the concentration of milk in mixtures
    ,
    Chemometrics and Intelligent Laboratory Systems 99 (2009), pp. 39-48.
  80. Ulf G. Indahl, Kristian Hovde Liland, Tormod Næs,
    Canonical partial least squares — a unified PLS approach to classification and regression problems,
    Journal of Chemometrics 23 (2009), pp. 495-504.
  81. Kristian Hovde Liland, Bjørn-Helge Mevik, Elling-Olav Rukke, Trygve Almøy, Morten
    Skaugen, Tomas Isaksson,
    Quantitative whole spectrum analysis with MALDI-TOF MS,
    Part I: Measurement optimisation
    ,
    Chemometrics and Intelligent Laboratory Systems 96 (2009), pp. 210-218.
  82. Kristian Hovde Liland, Ellen Mosleth Færgestad,
    Testing effects of experimental design factors using multi-way analysis,
    Chemometrics and Intelligent Laboratory Systems 96 (2009), pp. 172-181.
  83. Kristian Hovde Liland, Ulf Geir Indahl,
    Powered partial least squares discriminant analysis,
    Journal of Chemometrics 23 (2009), pp. 7-18.

Konferanseartikler

  1. Ingunn Burud, Knut Arne Smeland, Kristian Hovde Liland, Thomas Kringlebotn Thiis, Jakub Sandak, Anna Sandak, Lone Ross Gobakken,
    Weather degradation of thin wood samples,
    Proceedings IRG Annual Meeting IRG/WP 16-20578 (2016), pp. 1-11.
  2. Arild Hetland, Kristina Haugaa, Maria Vistnes, Kristian Hovde Liland, Margareth Olseng, Morten B. Jacobsen, Thor Edvardsen,
    Adaptive Servo-Ventilation Decreased Mortality and Admission Rates in Heart Failure Patients With Cheyne-Stokes Respiration in a 18 Months Prospective Study,
    Journal of the American College of Cardiology 63(12):A757 (2014).
  3. Arild Hetland, Maria Vistnes, Kristina Haugaa, Kristian Hovde Liland, Margareth Olseng, Morten B. Jacobsen, Thor Edvardsen,
    Cheyne-Stokes Respiration is Associated With a Higher Mortality Than Obstructive Sleep Apnea in Heart Failure Patients,
    Journal of the American College of Cardiology 63(12):A911 (2014).

Andre publikasjoner

  1. Age K. Smilde, Tormod Næs, Kristian Hovde Liland, Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences, Wiley (2022).
  2. Comprehensive Chemometrics, 2nd edition; Medforfatter på bokkapittel 4.22. Analysis of Megavariate Data in Functional Omics. (2020)
  3. Multivariate analysis – method development and novel applications in spectrometry (Doktorgradsavhandling (2010)).
  4. Comprehensive Chemometrics; Medforfatter på bokkapittel 4.08.4.7. Analyzing Data of N-Way Structure. (2009)
  5. PPLS-DA: En vri på Partial Least Squares Discriminant Analysis – eksplorativ egenskapsuttrekking for klassifikasjonsproblemer rettet mot bedre prediksjon og tolkbarhet (Masteroppgave (2006)).

Utdanning

  • Videregående skole
    Allmenfag ved Mjølan VGS, Mo i Rana
  • Folkehøgskole
    Klassisk gitar ved Toneheim FHS, Hamar
  • Musikkonservatorium
    Klassisk gitar 2 år, HiA (UiA)
  • Bachelorgrad
    Informatikk og matematikk 195 sp, HiA (UiA)
  • Mastergrad
    Anvendt statistikk 60+60 sp, UMB
  • Doktorgrad (PhD)
    Anvendt statistikk 3,5 år, UMB

Arbeidserfaring

  • Sommerjobber
    Ergo Integration, Mo i Rana (ca 21 uker)
    Christianssands Bryggeri (ca 46 uker)
  • Helgejobb
    Bjørndal Gård (servitør/bartender/hovmester 2003-2005)
  • Studenthjelp
    Førstesemesterassistent ved HiA (UiA)
  • Øvingslærer i statistikk
    4 semestre ved UMB
  • Timelærer
    Matematisk statistikk ved UiA
  • Hovedlærer
    Matematisk statistikk, 5 sp ved NMBU (to ganger)
    Statistisk dataanalyse, 10 sp ved NMBU
    Brukerkurs i matematikk, 10 sp ved NMBU
    Høydimensjonal dataanalyse, 5 sp ved NMBU
    Innføring i programmering, 10 sp ved NMBU
    Anvendt maskinlæring og dyplæring, 10+10 sp ved NMBU (flere ganger)
  • Postdoktor
    NMBU (sep. 2010 – juni 2012)
  • Førsteamanuensis II
    NMBU/KBM (juli 2012 – juli 2018)
  • Forsker
    Nofima (mai 2012 – september 2017)
  • Førsteamanuensis
    NMBU/Realtek (fra oktober 2017)
  • Professor
    NMBU/Realtek (fra september 2022)

Utmerkelser

  • IKBMs undervisningspris for STAT250 (2008) og STAT300 (2010)
  • Wiley’s poster-pris ved SSC11

Opponent

    • 2.-opponent for Naresh Doni Jayavelu, NTNU,
      Doktoravhandling: Integrative Systems Biology Approaches for Analyzing High-Throughput Data, Applications to modeling of gene regulatory networks
    • 2.-opponent for Kuruge Darshana Abeyrathna, UiA, Doktoravhandling: Nove Tsetlin Machine Mechanisms for Logic-based Regression and Classification with Support for Continuous Input, Clause Weighting, Confidence Assessment, Deterministic Learning, and Convolution