Knut Liestøl

According to our database, Knut Liestøl authored at least 14 papers between 1983 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guidelines for study protocols describing predefined validations of prediction models in medical deep learning and beyond.

Andreas Kleppe, Ole-Johan Skrede, Knut Liestøl, David J. Kerr, Håvard E. Danielsen

Nat. Mac. Intell., 2024

2022

When should we (not) use the mean magnitude of relative error (MMRE) as an error measure in software development effort estimation?

Magne Jørgensen, Torleif Halkjelsvik, Knut Liestøl

Inf. Softw. Technol., 2022

My Health Sensor, My Classifier - Adapting a Trained Classifier to Unlabeled End-User Data.

Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn

ACM Trans. Comput. Heal., 2022

Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract).

Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Relations Between Effort Estimates, Skill Indicators, and Measured Programming Skill.

Magne Jørgensen, Gunnar Rye Bergersen, Knut Liestøl

IEEE Trans. Software Eng., 2021

Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization.

Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn

J. Artif. Intell. Res., 2021

2020

Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization.

Konstantinos Nikolaidis, Stein Kristiansen, Thomas Plagemann, Vera Goebel, Knut Liestøl, Mohan S. Kankanhalli, Gunn Marit Traaen, Britt Øverland, Harriet Akre, Lars Aakerøy, Sigurd Steinshamn

CoRR, 2020

2019

Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection.

Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann, Knut Liestøl, Mohan S. Kankanhalli

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Data Mining for Patient Friendly Apnea Detection.

Stein Kristiansen, Mari Sonsteby Hugaas, Vera Goebel, Thomas Plagemann, Konstantinos Nikolaidis, Knut Liestøl

IEEE Access, 2018

2016

Incorrect results in software engineering experiments: How to improve research practices.

Magne Jørgensen, Tore Dybå, Knut Liestøl, Dag I. K. Sjøberg

J. Syst. Softw., 2016

2013

The Genomic HyperBrowser: an analysis web server for genome-scale data.

Geir Kjetil Sandve, Sveinung Gundersen, Morten Johansen, Ingrid Kristine Glad, Krishanthi Gunathasan, Lars Holden, Marit Holden, Knut Liestøl, Ståle Nygård, Vegard Nygaard, Jonas Paulsen, Halfdan Rydbeck, Kai Trengereid, Trevor Clancy, Finn Drabløs, Egil Ferkingstad, Matús Kalas, Tonje Lien, Morten Rye, Arnoldo Frigessi, Eivind Hovig

Nucleic Acids Res., 2013

2005

CGH-Explorer: a program for analysis of array-CGH data.

Ole Christian Lingjærde, Lars O. Baumbusch, Knut Liestøl, Ingrid Kristine Glad, Anne-Lise Børresen-Dale

Bioinform., 2005

1998

Generalized projection pursuit regression.

Ole Christian Lingjærde, Knut Liestøl

SIAM J. Sci. Comput., 1998

1983

A model of neurons with pacemaker behavior receiving strong synaptic input.

Inge Henningsen, Knut Liestøl

IEEE Trans. Syst. Man Cybern., 1983