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Arthur Revhaug
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2020 – today
- 2022
- [j6]Ahcène Boubekki
, Jonas Nordhaug Myhre
Clinically Relevant Features for Predicting the Severity of Surgical Site Infections. IEEE J. Biomed. Health Informatics 26(4): 1794-1801 (2022) - 2021
- [j5]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: 107896 (2021) - [j4]Kristoffer Wickstrøm
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE J. Biomed. Health Informatics 25(7): 2435-2444 (2021) - 2020
- [i3]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 abs/2010.11310 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1907.05251 (2019) - 2018
- [i1]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 abs/1803.07879 (2018) - 2017
- [j3]Karl Øyvind Mikalsen, Cristina Soguero-Ruíz
Using anchors from free text in electronic health records to diagnose postoperative delirium. Comput. Methods Programs Biomed. 152: 105-114 (2017) - 2016
- [j2]Cristina Soguero-Ruíz
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. J. Biomed. Informatics 61: 87-96 (2016) - [j1]Cristina Soguero-Ruíz
Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records. IEEE J. Biomed. Health Informatics 20(5): 1404-1415 (2016) - 2014
- [c1]Cristina Soguero-Ruíz
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. BHI 2014: 577-580
Coauthor Index
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