Kristian Hovde Liland

发表

RENT - Repeated Elastic Net Technique for Feature Selection pdf

Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, 2020, ArXiv.

SOPLS-PM: From multiblock data analysis to path modeling

Rosaria Romano, Tormod Næs, Age K. Smilde, 2018 .

fixedTimeEvents: An R package for the distribution of distances between discrete events in fixed time

Kristian Hovde Liland, Lars-Gustav Snipen, L. Snipen, 2016, SoftwareX.

R Commander Plug-in for University Level Applied Statistics

Kristian Hovde Liland, Solve Sæbø, 2016 .

ROSA—a fast extension of partial least squares regression for multiblock data analysis

Tormod Næs, Kristian Hovde Liland, Ulf G. Indahl, 2016 .

Optimal Choice of Baseline Correction for Multivariate Calibration of Spectra

Kristian Hovde Liland, Trygve Almøy, Bjørn-Helge Mevik, 2010, Applied spectroscopy.

Multivariate methods in metabolomics – from pre-processing to dimension reduction and statistical analysis

Kristian Hovde Liland, K. H. Liland, 2011 .

4S Peak Filling – baseline estimation by iterative mean suppression

Kristian Hovde Liland, K. H. Liland, 2015, MethodsX.

A review of variable selection methods in Partial Least Squares Regression

Tahir Mehmood, Kristian Hovde Liland, Lars Snipen, 2012 .

Customized baseline correction

Kristian Hovde Liland, Elling-Olav Rukke, Elisabeth Olsen, 2011 .

Mining online community data: The nature of ideas in online communities

Tormod Næs, Alessandra Biancolillo, Knut Kvaal, 2017 .

Fast method for GA‐PLS with simultaneous feature selection and identification of optimal preprocessing technique for datasets with many observations

Ingunn Burud, Kristian Hovde Liland, Thomas K. Thiis, 2020 .

Testing effects of experimental design factors using multi-way analysis

Kristian Hovde Liland, Ellen Mosleth Færgestad, 2009 .

Pooled samples for classification : What about PPLS-DA?

Kristian Hovde Liland, Anna Telaar, Dirk Repsilber, 2011 .

Optimal Baseline Correction for Multivariate Calibration Using Open-Source Software

Kristian Hovde Liland, Trygve Almøy, Bjørn-Helge Mevik, 2011 .

Much faster cross‐validation in PLSR‐modelling by avoiding redundant calculations

Kristian Hovde Liland, Ulf G. Indahl, Petter Stefansson, 2020 .

Hoggorm: a Python Library for Explorative Multivariate Statistics

Kristian Hovde Liland, Oliver Tomic, Tormod Næs, 2019, J. Open Source Softw..

SO-PLS as an alternative approach for handling multi-dimensionality in modelling different aspects of consumer expectations.

Tormod Næs, Kristian Hovde Liland, Oliver Tomic, 2020, Food research international.

Multiblock-Networks: A Neural Network Analog to Component Based Methods for Multi-Source Data pdf

Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, 2021, ArXiv.

On the possible benefits of deep learning for spectral preprocessing

Kristian Hovde Liland, Ulf Geir Indahl, Runar Helin, 2021, Journal of Chemometrics.

SelectWave: A graphical user interface for wavelength selection and spectral data analysis

Kristian Hovde Liland, Fatih Kahrıman, 2021, Chemometrics and Intelligent Laboratory Systems.

oreo: An R package for large amplitude oscillatory analysis

Kristian Hovde Liland, Simon A. Rogers, Giorgio Luciano, 2021, SoftwareX.

Optimizing body fluid recognition from microbial taxonomic profiles.

Peter Gill, Kristian Hovde Liland, Lars Snipen, 2018, Forensic science international. Genetics.

Estimating and interpreting more than two consensus components in projective mapping: INDSCAL vs. multiple factor analysis (MFA)

Tormod Næs, Gastón Ares, Ingunn Berget, 2017 .

Preprocessing of spectral data in the extended multiplicative signal correction framework using multiple reference spectra

Kristian Hovde Liland, Ulf Geir Indahl, U. Indahl, 2018, Journal of Raman Spectroscopy.

Comparison of variable selection methods in partial least squares regression

Kristian Hovde Liland, Tahir Mehmood, Solve Sæbø, 2020, Journal of Chemometrics.

Distribution based truncation for variable selection in subspace methods for multivariate regression

Kristian Hovde Liland, Harald Martens, Martin Høy, 2013 .

Quantitative whole spectrum analysis with MALDI-TOF MS, Part II: Determining the concentration of milk in mixtures

Kristian Hovde Liland, Trygve Almøy, Bjørn-Helge Mevik, 2009 .

Hot PLS—a framework for hierarchically ordered taxonomic classification by partial least squares

Kristian Hovde Liland, Achim Kohler, Volha Shapaval, 2014 .

Powered partial least squares discriminant analysis

Kristian Hovde Liland, Ulf G. Indahl, 2009 .

Variable selection in multi-block regression

Rasmus Bro, Tormod Næs, Alessandra Biancolillo, 2016 .

Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling

Kristian Hovde Liland, Ulf G. Indahl, U. Indahl, 2018 .