44 citations · 94 across the 4 of their papers we have counts for
4 papers
A New Formula for Faster Computation of the K-Fold Cross-Validation and Good Regularisation Parameter Values in Ridge Regression
Kristian Hovde Liland, Joakim Skogholt, Ulf Geir Indahl
In the present paper, we prove a new theorem, resulting in an update formula for linear regression model residuals calculating the exact k-fold cross-validation residuals for any c…
RENT -- Repeated Elastic Net Technique for Feature Selection
Anna Jenul, Stefan Schrunner, Kristian Hovde Liland +3
Feature selection is an essential step in data science pipelines to reduce the complexity associated with large datasets. While much research on this topic focuses on optimizing pr…
Deep learning for automatic tumour segmentation in PET/CT images of patients with head and neck cancers
Yngve Mardal Moe, Aurora Rosvoll Groendahl, Martine Mulstad +5
An automatic segmentation algorithm for delineation of the gross tumour volume and pathologic lymph nodes of head and neck cancers in PET/CT images is described. The proposed algor…
Addressing Overfitting on Pointcloud Classification using Atrous XCRF
Hasan Asyari Arief, Ulf Geir Indahl, Geir-Harald Strand +1
Advances in techniques for automated classification of pointcloud data introduce great opportunities for many new and existing applications. However, with a limited number of label…