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Jonas Nordhaug Myhre
Jonas Nordhaug Myhre
Senior Researcher, Northern Research Institute NORCE
Verifisert e-postadresse på uit.no
Tittel
Sitert av
Sitert av
År
Robust clustering using a kNN mode seeking ensemble
JN Myhre, KØ Mikalsen, S Løkse, R Jenssen
Pattern Recognition 76, 491-505, 2018
532018
Controlling blood glucose levels in patients with type 1 diabetes using fitted q-iterations and functional features
JN Myhre, IK Launonen, S Wei, F Godtliebsen
2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018
182018
In-silico evaluation of glucose regulation using policy gradient reinforcement learning for patients with type 1 diabetes mellitus
J Nordhaug Myhre, M Tejedor, I Kalervo Launonen, A El Fathi, ...
Applied Sciences 10 (18), 6350, 2020
142020
Mixture weight influence on kernel entropy component analysis and semi-supervised learning using the lasso
JN Myhre, R Jenssen
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
122012
Computationally efficient exact calculation of kernel density derivatives
M Shaker, JN Myhre, D Erdogmus
Journal of Signal Processing Systems 81, 321-332, 2015
62015
Consensus clustering using knn mode seeking
JN Myhre, KØ Mikalsen, S Løkse, R Jenssen
Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark …, 2015
62015
Invertible nonlinear cluster unwrapping
M Shaker, JN Myhre, MD Kaba, D Erdogmus
2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014
62014
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders
S Björk, JN Myhre, TH Johansen
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
32022
Clinically relevant features for predicting the severity of surgical site infections
A Boubekki, JN Myhre, LT Luppino, KØ Mikalsen, A Revhaug, R Jenssen
IEEE Journal of Biomedical and Health Informatics 26 (4), 1794-1801, 2021
32021
Semi-supervised Classification using Kernel Entropy Component Analysis and the LASSO.
JN Myhre
Universitetet i Tromsø, 2011
32011
Droner som FKT-bruk av droner som forebyggende tiltak i beitenæringen
E Winje, TA Bjørn, I Hansen, E Meisingset, A Haugen, JB Heppelmann, ...
NIBIO, 2023
22023
Manifold unwrapping using density ridges
JN Myhre, M Shaker, D Kaba, R Jenssen, D Erdogmus
arXiv preprint arXiv:1604.01602, 2016
22016
Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes
M Tejedor, SN Hjerde, JN Myhre, F Godtliebsen
Diagnostics 13 (19), 3150, 2023
12023
Controlling blood glucose for patients with type 1 DiabetesUsing deep reinforcement learning–The influence OfChanging the reward function
MAT Hernandez, JN Myhre
Proceedings of the Northern Lights Deep Learning Workshop 1, 6-6, 2020
12020
A generic unfolding algorithm for manifolds estimated by local linear approximations
JN Myhre, M Shaker, MD Kaba, R Jenssen, D Erdogmus
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
12020
Secant manifold constrained random projections-improved cluster ensembles
JN Myhre
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
12018
Density ridge manifold traversal
JN Myhre, M Kampffmeyer, R Jenssen
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
12017
Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes
THM Angel, S Hjerde, JN Myhre, F Godtliebsen
MDPI, 2023
2023
Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes. Diagnostics 2023, 13, 3150
M Tejedor, SN Hjerde, JN Myhre, F Godtliebsen
2023
Automatic detection of the mental foramen for estimating mandibular cortical width in dental panoramic radiographs: the seventh survey of the Tromsø Study (Tromsø7) in 2015–2016
IP Edvardsen, A Teterina, T Johansen, JN Myhre, F Godtliebsen, ...
Journal of International Medical Research 50 (11), 03000605221135147, 2022
2022
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Artikler 1–20