Karl Øyvind Mikalsen
Orcid: 0000-0003-4672-7865
According to our database1,
Karl Øyvind Mikalsen
authored at least 27 papers
between 2015 and 2024.
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Bibliography
2024
Instruction-guided deidentification with synthetic test cases for Norwegian clinical text.
Proceedings of the Northern Lights Deep Learning Conference, 2024
2023
IEEE Trans. Knowl. Data Eng., September, 2023
CoRR, 2023
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images.
Comput. Medical Imaging Graph., 2023
2022
Clinically Relevant Features for Predicting the Severity of Surgical Site Infections.
IEEE J. Biomed. Health Informatics, 2022
Mixing up contrastive learning: Self-supervised representation learning for time series.
Pattern Recognit. Lett., 2022
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022
2021
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series.
IEEE J. Biomed. Health Informatics, 2021
Time series cluster kernels to exploit informative missingness and incomplete label information.
Pattern Recognit., 2021
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
2020
CoRR, 2020
2019
Pattern Recognit., 2019
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
2018
Time series cluster kernel for learning similarities between multivariate time series with missing data.
Pattern Recognit., 2018
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders.
CoRR, 2018
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples.
CoRR, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Using anchors from free text in electronic health records to diagnose postoperative delirium.
Comput. Methods Programs Biomed., 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
2015
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015