Karl {\O}yvind Mikalsen

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Papers (7)

1. Time series cluster kernels to exploit informative missingness and incomplete label information cs.LG · 2019 · author #1
2. Noisy multi-label semi-supervised dimensionality reduction stat.ML · 2019 · author #1
3. Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders cs.NE · 2018 · author #3
4. An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples stat.ML · 2018 · author #1
5. Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks cs.NE · 2017 · author #3
6. Learning compressed representations of blood samples time series with missing data cs.NE · 2017 · author #2
7. Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data stat.ML · 2017 · author #1

Mentions

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Frequent Coauthors

• Filippo Maria Bianchi 7 shared papers
• Robert Jenssen 7 shared papers
• Cristina Soguero-Ruiz 5 shared papers
• Arthur Revhaug 2 shared papers
• Michael Kampffmeyer 2 shared papers
• Andreas Storvik Strauman 1 shared papers
• Lorenzo Livi 1 shared papers