Stefan Schrunner

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Pattern Recognition

Feature Selection

Top Venues

J. Open Source Softw.

Publications

Anna Jenul, Henning Langen Stokmo, Stefan Schrunner, Geir Olav Hjortland, Mona-Elisabeth Revheim, Oliver Tomic
Novel ensemble feature selection techniques applied to high-grade gastroenteropancreatic neuroendocrine neoplasms for the prediction of survival. Comput. Methods Programs Biomed. 244 (2024)
Anna Jenul, Henning Langen Stokmo, Stefan Schrunner, Mona-Elisabeth Revheim, Geir Olav Hjortland, Oliver Tomic
Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival. CoRR (2023)
Delmon Arous, Stefan Schrunner, Ingunn Hanson, Nina Frederike Jeppesen Edin, Eirik Malinen
cell colonies. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11 (1) (2023)
Anna Jenul, Stefan Schrunner
UBayFS: An R Package for User Guided Feature Selection. J. Open Source Softw. 8 (81) (2023)
Anna Jenul, Stefan Schrunner, Jürgen Pilz, Oliver Tomic
A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS). Mach. Learn. 111 (10) (2022)
Anna Jenul, Stefan Schrunner, Bao-Ngoc Huynh, Runar Helin, Cecilia Marie Futsaether, Kristian Hovde Liland, Oliver Tomic
Ranking Feature-Block Importance in Artificial Multiblock Neural Networks. ICANN (4) (2022)
Delmon Arous, Stefan Schrunner, Ingunn Hanson, Nina F. J. Edin, Eirik Malinen
Principal component-based image segmentation: a new approach to outline in vitro cell colonies. CoRR (2021)
Anna Jenul, Stefan Schrunner, Runar Helin, Kristian Hovde Liland, Cecilia Marie Futsaether, Oliver Tomic
Multiblock-Networks: A Neural Network Analog to Component Based Methods for Multi-Source Data. CoRR (2021)
Stefan Schrunner, Michael Scheiber, Anna Jenul, Anja Zernig, Andre Kästner, Roman Kern
Machine Learning based Indicators to Enhance Process Monitoring by Pattern Recognition. CoRR (2021)
Anna Jenul, Stefan Schrunner, Bao Huynh, Oliver Tomic
RENT: A Python Package for Repeated Elastic Net Feature Selection. J. Open Source Softw. 6 (63) (2021)
Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsaether, Oliver Tomic
RENT - Repeated Elastic Net Technique for Feature Selection. IEEE Access 9 (2021)
Anna Jenul, Stefan Schrunner, Jürgen Pilz, Oliver Tomic
A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS). CoRR (2021)
Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsaether, Oliver Tomic
RENT - Repeated Elastic Net Technique for Feature Selection. CoRR (2020)
Stefan Schrunner, Bernhard C. Geiger, Anja Zernig, Roman Kern
A generative semi-supervised classifier for datasets with unknown classes. SAC (2020)
Martin Pleschberger, Stefan Schrunner, Jürgen Pilz
An Explicit Solution for Image Restoration using Markov Random Fields. J. Signal Process. Syst. 92 (2) (2020)
Stefan Schrunner, Anna Jenul, Michael Scheiber, Anja Zernig, Andre Kästner, Roman Kern
A Health Factor for Process Patterns Enhancing Semiconductor Manufacturing by Pattern Recognition in Analog Wafermaps. SMC (2019)
Stefan Schrunner, Olivia Bluder, Anja Zernig, Andre Kästner, Roman Kern
A Comparison of Supervised Approaches for Process Pattern Recognition in Analog Semiconductor Wafer Test Data. ICMLA (2018)
Stefan Schrunner, Olivia Bluder, Anja Zernig, Andre Kästner, Roman Kern
Markov random fields for pattern extraction in analog wafer test data. IPTA (2017)