Consensus Clustering Using kNN Mode Seeking. - Jonas Nordhaug Myhre; Karl Øyvind Mikalsen; Sigurd Løkse; Robert Jenssen (SCIA, 2015)

The time series cluster kernel. - Karl Øyvind Mikalsen; Filippo Maria Bianchi; Cristina Soguero-Ruíz; Robert Jenssen (MLSP, 2017)

Using anchors from free text in electronic health records to diagnose postoperative delirium. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Kasper Jensen; Kristian Hindberg; Mads Gran; Arthur Revhaug; Rolv-Ole Lindsetmo; Stein Olav Skrøvseth; Fred Godtliebsen; Robert Jenssen (Comput. Methods Programs Biomed., 2017)

Towards deep anchor learning. - Mads A. Hansen; Karl Øyvind Mikalsen; Michael Kampffmeyer; Cristina Soguero-Ruíz; Robert Jenssen (BHI, 2018)

Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. - Andreas Storvik Strauman; Filippo Maria Bianchi; Karl Øyvind Mikalsen; Michael Kampffmeyer; Cristina Soguero-Ruíz; Robert Jenssen (BHI, 2018)

Using multi-anchors to identify patients suffering from multimorbidities. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Isabel Caballero-López-Fando; Robert Jenssen (BIBM, 2018)

Learning compressed representations of blood samples time series with missing data. - Filippo Maria Bianchi; Karl Øyvind Mikalsen; Robert Jenssen (ESANN, 2018)

An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Filippo Maria Bianchi; Arthur Revhaug; Robert Jenssen (CoRR, 2018)

Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. - Filippo Maria Bianchi; Lorenzo Livi; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen (CoRR, 2018)

Time series cluster kernel for learning similarities between multivariate time series with missing data. - Karl Øyvind Mikalsen; Filippo Maria Bianchi; Cristina Soguero-Ruíz; Robert Jenssen (Pattern Recognit., 2018)

Robust clustering using a kNN mode seeking ensemble. - Jonas Nordhaug Myhre; Karl Øyvind Mikalsen; Sigurd Løkse; Robert Jenssen (Pattern Recognit., 2018)

Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data. - Primoz Kocbek; Nino Fijacko; Cristina Soguero-Ruíz; Karl Øyvind Mikalsen; Uros Maver; Petra Povalej Brzan; Andraz Stozer; Robert Jenssen; Stein Olav Skrøvseth; Gregor Stiglic (Comput. Math. Methods Medicine, 2019)

Learning representations of multivariate time series with missing data. - Filippo Maria Bianchi; Lorenzo Livi; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen (Pattern Recognit., 2019)

Noisy multi-label semi-supervised dimensionality reduction. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Filippo Maria Bianchi; Robert Jenssen (Pattern Recognit., 2019)

A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Robert Jenssen (CoRR, 2020)

On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. - Óscar Escudero-Arnanz; Joaquín Álvarez-Rodríguez; Karl Øyvind Mikalsen; Robert Jenssen; Cristina Soguero-Ruíz (CoRR, 2021)

RELAX: Representation Learning Explainability. - Kristoffer K. Wickstrøm; Daniel J. Trosten; Sigurd Løkse; Karl Øyvind Mikalsen; Michael C. Kampffmeyer; Robert Jenssen (CoRR, 2021)

Time series cluster kernels to exploit informative missingness and incomplete label information. - Karl Øyvind Mikalsen; Cristina Soguero-Ruíz; Filippo Maria Bianchi; Arthur Revhaug; Robert Jenssen (Pattern Recognit., 2021)

Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. - Kristoffer Wickstrøm; Karl Øyvind Mikalsen; Michael Kampffmeyer; Arthur Revhaug; Robert Jenssen (IEEE J. Biomed. Health Informatics, 2021)

The Kernelized Taylor Diagram. - Kristoffer Wickstrøm; Juan Emmanuel Johnson; Sigurd Løkse; Gustau Camps-Valls; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen (NAIS, 2022)

Mixing up contrastive learning: Self-supervised representation learning for time series. - Kristoffer Wickstrøm; Michael Kampffmeyer; Karl Øyvind Mikalsen; Robert Jenssen (Pattern Recognit. Lett., 2022)

Clinically Relevant Features for Predicting the Severity of Surgical Site Infections. - Ahcène Boubekki; Jonas Nordhaug Myhre; Luigi Tommaso Luppino; Karl Øyvind Mikalsen; Arthur Revhaug; Robert Jenssen (IEEE J. Biomed. Health Informatics, 2022)

A clinically motivated self-supervised approach for content-based image retrieval of CT liver images. - Kristoffer Knutsen Wickstrøm; Eirik Agnalt Østmo; Keyur Radiya; Karl Øyvind Mikalsen; Michael Christian Kampffmeyer; Robert Jenssen (Comput. Medical Imaging Graph., 2023)

Approaching adverse event detection utilizing transformers on clinical time-series. - Helge Fredriksen; Per Joel Burman; Ashenafi Zebene Woldaregay; Karl Øyvind Mikalsen; Ståle Nymo (CoRR, 2023)

RELAX: Representation Learning Explainability. - Kristoffer K. Wickstrøm; Daniel J. Trosten; Sigurd Løkse; Ahcène Boubekki; Karl Øyvind Mikalsen; Michael C. Kampffmeyer; Robert Jenssen (Int. J. Comput. Vis., 2023)

Selective Imputation for Multivariate Time Series Datasets With Missing Values. - Ane Blázquez-García; Kristoffer Wickstrøm; Shujian Yu; Karl Øyvind Mikalsen; Ahcène Boubekki; Angel Conde; Usue Mori; Robert Jenssen; José Antonio Lozano 001 (IEEE Trans. Knowl. Data Eng., 2023)

Categorization of phenotype trajectories utilizing transformers on clinical time-series. - Helge Fredriksen; Per Joel Burman; Ashenafi Zebene Woldaregay; Karl Øyvind Mikalsen; Ståle Nymo (ICMLT, 2024)

Instruction-guided deidentification with synthetic test cases for Norwegian clinical text. - Jørgen Aarmo Lund; Karl Øyvind Mikalsen; Per Joel Burman; Ashenafi Zebene Woldaregay; Robert Jenssen (NLDL, 2024)

Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial. - Taridzo Chomutare; Therese Olsen Svenning; Miguel Angel Tejedor Hernandez; Phuong Dinh Ngo; Andrius Budrionis; Kaisa Markljung; Lill Irene Hind; Torbjørn Torsvik; Karl Øyvind Mikalsen; Aleksandar Babic; Hercules Dalianis (CoRR, 2024)

Exploring surgical infection prediction: A comparative study of established risk indexes and a novel model. - Kjersti Mevik; Ashenafi Zebene Woldaregay; Alexander Ringdal; Karl Øyvind Mikalsen; Yuan Xu (Int. J. Medical Informatics, 2024)

Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish. - Ashenafi Zebene Woldaregay; Jørgen Aarmo Lund; Phuong Dinh Ngo; Mariyam Tayefi; Per Joel Burman; Stine Hansen; Martin Hylleholt Sillesen; Hercules Dalianis; Robert Jenssen; Lindsetmo Rolf Ole; Karl Øyvind Mikalsen (CoRR, 2025)