Jonas Nordhaug Myhre

According to our database, Jonas Nordhaug Myhre authored at least 13 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Variable Depth Bayesian Neural Networks Using Reversible Jumps.

Jon Berezowski, Thomas Haugland Johansen, Jonas Nordhaug Myhre, Fred Godtliebsen

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Simpler is Better: Spectral Regularization and Up-Sampling Techniques for Variational Autoencoders.

Sara Björk, Jonas Nordhaug Myhre, Thomas Haugland Johansen

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

Controlling Blood Glucose For Patients With Type 1 DiabetesUsing Deep Reinforcement Learning - The Influence OfChanging The Reward Function.

Miguel Angel Tejedor Hernandez, Jonas Nordhaug Myhre

Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020

A generic unfolding algorithm for manifolds estimated by local linear approximations.

Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Robust clustering using a kNN mode seeking ensemble.

Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen

Pattern Recognit., 2018

Controlling blood glucose Levels in patients with Type 1 Diabetes using fitted Q-iterations and Functional Features.

Jonas Nordhaug Myhre, Ilkka K. Launonen, Susan Wei, Fred Godtliebsen

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Secant manifold constrained random projections -Improved cluster ensembles.

Jonas Nordhaug Myhre

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Density ridge manifold traversal.

Jonas Nordhaug Myhre, Michael Kampffmeyer, Robert Jenssen

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015

Computationally Efficient Exact Calculation of Kernel Density Derivatives.

Matineh Shaker, Jonas Nordhaug Myhre, Deniz Erdogmus

J. Signal Process. Syst., 2015

Consensus Clustering Using kNN Mode Seeking.

Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen

Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

2014

Invertible nonlinear cluster unwrapping.

Matineh Shaker, Jonas Nordhaug Myhre, M. Devrim Kaba, Deniz Erdogmus

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

2012

Mixture weight influence on kernel entropy component analysis and semi-supervised learning using the Lasso.

Jonas Nordhaug Myhre, Robert Jenssen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012