Mixture weight influence on kernel entropy component analysis and semi-supervised learning using the Lasso. - Jonas Nordhaug Myhre; Robert Jenssen (MLSP, 2012)

Invertible nonlinear cluster unwrapping. - Matineh Shaker; Jonas Nordhaug Myhre; M. Devrim Kaba; Deniz Erdogmus (MLSP, 2014)

Consensus Clustering Using kNN Mode Seeking. - Jonas Nordhaug Myhre; Karl Øyvind Mikalsen; Sigurd Løkse; Robert Jenssen (SCIA, 2015)

Computationally Efficient Exact Calculation of Kernel Density Derivatives. - Matineh Shaker; Jonas Nordhaug Myhre; Deniz Erdogmus (J. Signal Process. Syst., 2015)

Density ridge manifold traversal. - Jonas Nordhaug Myhre; Michael Kampffmeyer; Robert Jenssen (ICASSP, 2017)

Secant manifold constrained random projections -Improved cluster ensembles. - Jonas Nordhaug Myhre (IJCNN, 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 (MLSP, 2018)

Robust clustering using a kNN mode seeking ensemble. - Jonas Nordhaug Myhre; Karl Øyvind Mikalsen; Sigurd Løkse; Robert Jenssen (Pattern Recognit., 2018)

A generic unfolding algorithm for manifolds estimated by local linear approximations. - Jonas Nordhaug Myhre; Matineh Shaker; Mustafa Devrim Kaba; Robert Jenssen; Deniz Erdogmus (CVPR Workshops, 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 (NLDL, 2020)

Simpler is Better: Spectral Regularization and Up-Sampling Techniques for Variational Autoencoders. - Sara Björk; Jonas Nordhaug Myhre; Thomas Haugland Johansen (ICASSP, 2022)

Variable Depth Bayesian Neural Networks Using Reversible Jumps. - Jon Berezowski; Thomas Haugland Johansen; Jonas Nordhaug Myhre; Fred Godtliebsen (MLSP, 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)