Karl Øyvind Mikalsen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Topics

Multivariate Time Series

Top Venues

Pattern Recognit.

IEEE J. Biomed. Health Informatics

Publications

Jørgen Aarmo Lund, Karl Øyvind Mikalsen, Per Joel Burman, Ashenafi Zebene Woldaregay, Robert Jenssen
Instruction-guided deidentification with synthetic test cases for Norwegian clinical text. NLDL (2024)
Kjersti Mevik, Ashenafi Zebene Woldaregay, Alexander Ringdal, Karl Øyvind Mikalsen, Yuan Xu
Exploring surgical infection prediction: A comparative study of established risk indexes and a novel model. Int. J. Medical Informatics 184 (2024)
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
RELAX: Representation Learning Explainability. Int. J. Comput. Vis. 131 (6) (2023)
Kristoffer Knutsen Wickstrøm, Eirik Agnalt Østmo, Keyur Radiya, Karl Øyvind Mikalsen, Michael Christian Kampffmeyer, Robert Jenssen
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images. Comput. Medical Imaging Graph. 107 (2023)
Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, José Antonio Lozano
Selective Imputation for Multivariate Time Series Datasets With Missing Values. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Helge Fredriksen, Per Joel Burman, Ashenafi Zebene Woldaregay, Karl Øyvind Mikalsen, Ståle Nymo
Approaching adverse event detection utilizing transformers on clinical time-series. CoRR (2023)
Ahcène Boubekki, Jonas Nordhaug Myhre, Luigi Tommaso Luppino, Karl Øyvind Mikalsen, Arthur Revhaug, Robert Jenssen
Clinically Relevant Features for Predicting the Severity of Surgical Site Infections. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
The Kernelized Taylor Diagram. CoRR (2022)
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
The Kernelized Taylor Diagram. NAIS (2022)
Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series. CoRR (2022)
Kristoffer Knutsen Wickstrøm, Eirik Agnalt Østmo, Keyur Radiya, Karl Øyvind Mikalsen, Michael Christian Kampffmeyer, Robert Jenssen
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images. CoRR (2022)
Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognit. Lett. 155 (2022)
Óscar Escudero-Arnanz, Joaquín Rodríguez-Álvarez, Karl Øyvind Mikalsen, Robert Jenssen, Cristina Soguero-Ruíz
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. CoRR (2021)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
Time series cluster kernels to exploit informative missingness and incomplete label information. Pattern Recognit. 115 (2021)
Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
RELAX: Representation Learning Explainability. CoRR (2021)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Robert Jenssen
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. CoRR (2020)
Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. CoRR (2020)
Primoz Kocbek, Nino Fijacko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uros Maver, Petra Povalej Brzan, Andraz Stozer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data. Comput. Math. Methods Medicine 2019 (2019)
Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
Learning representations of multivariate time series with missing data. Pattern Recognit. 96 (2019)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
Noisy multi-label semi-supervised dimensionality reduction. Pattern Recognit. 90 (2019)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
Time series cluster kernels to exploit informative missingness and incomplete label information. CoRR (2019)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
Noisy multi-label semi-supervised dimensionality reduction. CoRR (2019)
Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. CoRR (2018)
Mads A. Hansen, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
Towards deep anchor learning. BHI (2018)
Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen
Robust clustering using a kNN mode seeking ensemble. Pattern Recognit. 76 (2018)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples. CoRR (2018)
Filippo Maria Bianchi, Karl Øyvind Mikalsen, Robert Jenssen
Learning compressed representations of blood samples time series with missing data. ESANN (2018)
Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
Time series cluster kernel for learning similarities between multivariate time series with missing data. Pattern Recognit. 76 (2018)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez, Isabel Caballero Lopez Fando, Robert Jenssen
Using multi-anchors to identify patients suffering from multimorbidities. BIBM (2018)
Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. BHI (2018)
Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. CoRR (2017)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Kasper Jensen, Kristian Hindberg, Mads Gran, Arthur Revhaug, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth, Fred Godtliebsen, Robert Jenssen
Using anchors from free text in electronic health records to diagnose postoperative delirium. Comput. Methods Programs Biomed. 152 (2017)
Filippo Maria Bianchi, Karl Øyvind Mikalsen, Robert Jenssen
Learning compressed representations of blood samples time series with missing data. CoRR (2017)
Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data. CoRR (2017)
Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
The time series cluster kernel. MLSP (2017)
Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen
Consensus Clustering Using kNN Mode Seeking. SCIA (2015)