Kristian Hovde Liland

About Kristian Hovde Liland

Kristian Hovde Liland, With an exceptional h-index of 29 and a recent h-index of 26 (since 2020), a distinguished researcher at Norges miljø- og biovitenskapelige universitet, specializes in the field of Chemometrics, data analysis, programming, statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

General Effect Modelling (GEM)--Part 1. Method description

Iterative re‐weighted multilinear partial least squares modelling for robust predictive modelling

General Effect Modelling (GEM)--Part 2. Multivariate GEM applied to gene expression data of type 2 diabetes detects information that is lost by univariate validation

General Effect Modelling (GEM)--Part 3. GEM applied on proteome data of cerebrospinal fluid of multiple sclerosis and clinically isolated syndrome

A Computational Procedure for Testing Conditional Independence in Causal Directed Acyclic Graphs

Artificial neural networks in kinetic analysis of glass crystallization: The case of complex nucleation-growth mechanisms

A new formula for faster computation of the k-fold cross-validation and good regularisation parameter values in Ridge Regression

Multitemporal feature-level fusion on hyperspectral and LiDAR data in the urban environment

Kristian Hovde Liland Information

University

Position

Associate Professor in Data Science at

Citations(all)

5117

Citations(since 2020)

3366

Cited By

2980

hIndex(all)

29

hIndex(since 2020)

26

i10Index(all)

60

i10Index(since 2020)

51

Email

University Profile Page

Norges miljø- og biovitenskapelige universitet

Google Scholar

View Google Scholar Profile

Kristian Hovde Liland Skills & Research Interests

Chemometrics

data analysis

programming

statistics

Top articles of Kristian Hovde Liland

Title

Journal

Author(s)

Publication Date

General Effect Modelling (GEM)--Part 1. Method description

arXiv preprint arXiv:2404.03024

Ellen Færgestad Mosleth

Kristian Hovde Liland

2024/4/3

Iterative re‐weighted multilinear partial least squares modelling for robust predictive modelling

Journal of Chemometrics

Puneet Mishra

Kristian Hovde Liland

2024/1

General Effect Modelling (GEM)--Part 2. Multivariate GEM applied to gene expression data of type 2 diabetes detects information that is lost by univariate validation

arXiv preprint arXiv:2404.03029

Ellen Færgestad Mosleth

Simon Erling Nitter Dankel

Gunnar Mellgren

Francisco Martin Barajas Olmos

Lorena Sofia Orozco

...

2024/4/3

General Effect Modelling (GEM)--Part 3. GEM applied on proteome data of cerebrospinal fluid of multiple sclerosis and clinically isolated syndrome

arXiv preprint arXiv:2404.03034

Ellen Færgestad Mosleth

Kjell-Morten Myhr

Christian Alexander Vedeler

Frode Steingrimsen Berven

Artem Lysenko

...

2024/4/3

A Computational Procedure for Testing Conditional Independence in Causal Directed Acyclic Graphs

Christian BH Thorjussen

Kristian Hovde Liland

Lars Erik Solberg

Ingrid Måge

2024/3/7

Artificial neural networks in kinetic analysis of glass crystallization: The case of complex nucleation-growth mechanisms

Journal of Non-Crystalline Solids

Kristian Hovde Liland

Giorgio Luciano

Roman Svoboda

2024/2/15

A new formula for faster computation of the k-fold cross-validation and good regularisation parameter values in Ridge Regression

IEEE Access

Kristian Hovde Liland

Joakim Skogholt

Ulf Geir Indahl

2024/1/22

Multitemporal feature-level fusion on hyperspectral and LiDAR data in the urban environment

Remote Sensing

Agnieszka Kuras

Maximilian Brell

Kristian Hovde Liland

Ingunn Burud

2023/1/20

The effect of bio-electro-magnetic-energy-regulation therapy on sleep duration and sleep quality among elite players in Norwegian women’s football

Frontiers in Psychology

Frode Moen

Svein Arne Pettersen

Kine Gjertsås

Marte Vatn

Martijn Ravenhorst

...

2023/8/8

Warren-Spring cohesion and particle size distribution measurements of dry whey protein concentrate

Even Gausemel

Anne-Grethe Johansen

Elling-Olav Rukke

Camilla Elise Jørgensen

Kristian Hovde Liland

...

2023

Package ‘mixlm’

Kristian Hovde Liland

Solve Sæbø

2023/8/8

Crude Oil Density Prediction Improved by Multiblock Analysis of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier Transform Infrared, and Near-Infrared …

Applied Spectroscopy

Elise L Gjelsvik

Martin Fossen

Anders Brunsvik

Kristian H Liland

Kristin Tøndel

2023/10/1

An algorithm for robust multiblock partial least squares predictive modelling

Journal of Chemometrics

Puneet Mishra

Kristian Hovde Liland

2023/6

Selection of principal variables through a modified Gram–Schmidt process with and without supervision

Journal of Chemometrics

Joakim Skogholt

Kristian H Liland

Tormod Næs

Age K Smilde

Ulf G Indahl

2023/10

Non-linear shrinking of linear model errors

Analytica Chimica Acta

Runar Helin

Ulf Indahl

Oliver Tomic

Kristian Hovde Liland

2023/6/1

Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

Frontiers in medicine

Bao Ngoc Huynh

Aurora Rosvoll Groendahl

Oliver Tomic

Kristian Hovde Liland

Ingerid Skjei Knudtsen

...

2023/8/30

Iterative re‐weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)

Journal of Chemometrics

Puneet Mishra

Kristian Hovde Liland

2023/2

Tsetlin Machine in DNA sequence classification: Application to prokaryote gene prediction/A match made in silico

Kristian Hovde Liland

Oliver Tomic

Ulf Geir Indahl

Cecilia Marie Futsæther

Lei Jiao

...

2023/8/29

Utnyttelse av væskefraksjoner fra fermentering av Alaria esculenta: membranfiltrering for analyser og utvinning av komponenter

Astrid Julie Rojh Gundersen

Linn Renate Olsen

Niklas Oliver Vold Løkkeberg

Markus Trandem

Nevena Mišljenović

...

2022

Component Based Pre-filtering of Noisy Data for Improved Tsetlin Machine Modelling

Anna Jenul

Bimal Bhattarai

Kristian Hovde Liland

Lei Jiao

Stefan Schrunner

...

2022/6/20

See List of Professors in Kristian Hovde Liland University(Norges miljø- og biovitenskapelige universitet)

Co-Authors

H-index: 63
HARALD MARTENS

HARALD MARTENS

Norges teknisk-naturvitenskaplige universitet

H-index: 51
Achim Kohler

Achim Kohler

Norges miljø- og biovitenskapelige universitet

H-index: 36
Lars Snipen

Lars Snipen

Norges miljø- og biovitenskapelige universitet

H-index: 36
Bjørge Westereng

Bjørge Westereng

Norges miljø- og biovitenskapelige universitet

H-index: 35
Ingunn Burud

Ingunn Burud

Norges miljø- og biovitenskapelige universitet

H-index: 29
Ulf G. Indahl

Ulf G. Indahl

Norges miljø- og biovitenskapelige universitet

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