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2020 – today
- 2024
[j7]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: 107934 (2024)- 2023
- [j6]Delmon Arous, Stefan Schrunner, Ingunn Hanson, Nina Frederike Jeppesen Edin, Eirik Malinen:
Principal component-based image segmentation: a new approach to outline in vitro cell colonies. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(1): 18-30 (2023) - [j5]Anna Jenul, Stefan Schrunner:
UBayFS: An R Package for User Guided Feature Selection. J. Open Source Softw. 8(81): 4848 (2023) - [i6]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 abs/2302.10106 (2023) - 2022
- [j4]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): 3897-3923 (2022) - [c5]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: 163-175 - 2021
- [j3]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: 152333-152346 (2021) - [j2]Anna Jenul, Stefan Schrunner, Bao Huynh, Oliver Tomic:
RENT: A Python Package for Repeated Elastic Net Feature Selection. J. Open Source Softw. 6(63): 3323 (2021) - [i5]Delmon Arous, Stefan Schrunner, Ingunn Hanson, Nina Frederike Jeppesen Edin, Eirik Malinen:
Principal component-based image segmentation: a new approach to outline in vitro cell colonies. CoRR abs/2103.06022 (2021) - [i4]Stefan Schrunner, Michael Scheiber, Anna Jenul, Anja Zernig, Andre Kästner, Roman Kern:
Machine Learning based Indicators to Enhance Process Monitoring by Pattern Recognition. CoRR abs/2103.13058 (2021) - [i3]Anna Jenul, Stefan Schrunner, Jürgen Pilz, Oliver Tomic:
A User-Guided Bayesian Framework for Ensemble Feature Selection in Life Science Applications (UBayFS). CoRR abs/2104.14787 (2021) - [i2]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 abs/2109.10279 (2021) - 2020
- [j1]Martin Pleschberger, Stefan Schrunner, Jürgen Pilz:
An Explicit Solution for Image Restoration using Markov Random Fields. J. Signal Process. Syst. 92(2): 257-267 (2020) - [c4]Stefan Schrunner, Bernhard C. Geiger, Anja Zernig, Roman Kern:
A generative semi-supervised classifier for datasets with unknown classes. SAC 2020: 1066-1074 - [i1]Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsaether, Oliver Tomic:
RENT - Repeated Elastic Net Technique for Feature Selection. CoRR abs/2009.12780 (2020)
2010 – 2019
- 2019
- [c3]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: 3555-3560 - 2018
- [c2]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: 820-823 - 2017
- [c1]Stefan Schrunner, Olivia Bluder, Anja Zernig, Andre Kästner, Roman Kern:
Markov random fields for pattern extraction in analog wafer test data. IPTA 2017: 1-6
Coauthor Index
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