Karl Øyvind Mikalsen
Karl Øyvind Mikalsen
Verifisert e-postadresse på uit.no
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Time series cluster kernel for learning similarities between multivariate time series with missing data
KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, R Jenssen
Pattern Recognition 76, 569-581, 2018
642018
Analysis of free text in electronic health records for identification of cancer patient trajectories
K Jensen, C Soguero-Ruiz, KO Mikalsen, RO Lindsetmo, ...
Scientific reports 7, 46226, 2017
572017
Robust clustering using a kNN mode seeking ensemble
JN Myhre, KØ Mikalsen, S Løkse, R Jenssen
Pattern Recognition 76, 491-505, 2018
262018
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks
AS Strauman, FM Bianchi, KØ Mikalsen, M Kampffmeyer, C Soguero-Ruiz, ...
2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018
152018
Noisy multi-label semi-supervised dimensionality reduction
KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, R Jenssen
Pattern Recognition 90, 257-270, 2019
122019
Learning representations of multivariate time series with missing data
FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen
Pattern Recognition 96, 106973, 2019
102019
Using anchors from free text in electronic health records to diagnose postoperative delirium
KØ Mikalsen, C Soguero-Ruiz, K Jensen, K Hindberg, M Gran, ...
Computer Methods and Programs in Biomedicine 152, 105-114, 2017
102017
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders
FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen
arXiv preprint arXiv:1805.03473, 2018
82018
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative …
P Kocbek, N Fijacko, C Soguero-Ruiz, KØ Mikalsen, U Maver, ...
Computational and Mathematical Methods in Medicine 2019, 2019
72019
Learning similarities between irregularly sampled short multivariate time series from EHRs
KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, SO Skrøvseth, RO Lindsetmo, ...
72016
Consensus clustering using knn mode seeking
JN Myhre, KØ Mikalsen, S Løkse, R Jenssen
Scandinavian Conference on Image Analysis, 175-186, 2015
62015
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples
KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, A Revhaug, R Jenssen
arXiv preprint arXiv:1803.07879, 2018
52018
Learning compressed representations of blood samples time series with missing data
FM Bianchi, KØ Mikalsen, R Jenssen
arXiv preprint arXiv:1710.07547, 2017
52017
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs
KØ Mikalsen, C Soguero-Ruiz, R Jenssen
arXiv preprint arXiv:2002.12359, 2020
12020
Deforming the vacuum. On the physical origin and numerical calculation of the Casimir effect.
KØ Mikalsen
UiT Norges arktiske universitet, 2014
12014
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs
KØ Mikalsen, C Soguero-Ruiz, R Jenssen
Explainable AI in Healthcare and Medicine, 23-36, 0
1*
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series
KK Wickstrøm, K ØyvindMikalsen, M Kampffmeyer, A Revhaug, ...
IEEE Journal of Biomedical and Health Informatics, 2020
2020
Time series cluster kernels to exploit informative missingness and incomplete label information
KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, A Revhaug, R Jenssen
arXiv preprint arXiv:1907.05251, 2019
2019
Advancing Unsupervised and Weakly Supervised Learning with Emphasis on Data-Driven Healthcare
KØ Mikalsen
UiT Norges arktiske universitet, 2019
2019
Using multi-anchors to identify patients suffering from multimorbidities
K yvind Mikalsen, C Soguero-Ruiz, I Mora-Jimenez, ICL Fando, ...
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
2018
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Artikler 1–20