Markov random fields for pattern extraction in analog wafer test data. - Stefan Schrunner; Olivia Bluder; Anja Zernig; Andre Kästner; Roman Kern (IPTA, 2017)

A Comparison of Supervised Approaches for Process Pattern Recognition in Analog Semiconductor Wafer Test Data. - Stefan Schrunner; Olivia Bluder; Anja Zernig; Andre Kästner; Roman Kern (ICMLA, 2018)

A Health Factor for Process Patterns Enhancing Semiconductor Manufacturing by Pattern Recognition in Analog Wafermaps. - Stefan Schrunner; Anna Jenul; Michael Scheiber; Anja Zernig; Andre Kästner; Roman Kern (SMC, 2019)

A generative semi-supervised classifier for datasets with unknown classes. - Stefan Schrunner; Bernhard C. Geiger; Anja Zernig; Roman Kern (SAC, 2020)

An Explicit Solution for Image Restoration using Markov Random Fields. - Martin Pleschberger; Stefan Schrunner; Jürgen Pilz (J. Signal Process. Syst., 2020)

RENT - Repeated Elastic Net Technique for Feature Selection. - Anna Jenul; Stefan Schrunner; Kristian Hovde Liland; Ulf Geir Indahl; Cecilia Marie Futsaether; Oliver Tomic (IEEE Access, 2021)

Principal component-based image segmentation: a new approach to outline in vitro cell colonies. - Delmon Arous; Stefan Schrunner; Ingunn Hanson; Nina Frederike Jeppesen Edin; Eirik Malinen (CoRR, 2021)

Machine Learning based Indicators to Enhance Process Monitoring by Pattern Recognition. - Stefan Schrunner; Michael Scheiber; Anna Jenul; Anja Zernig; Andre Kästner; Roman Kern (CoRR, 2021)

Multiblock-Networks: A Neural Network Analog to Component Based Methods for Multi-Source Data. - Anna Jenul; Stefan Schrunner; Runar Helin; Kristian Hovde Liland; Cecilia Marie Futsaether; Oliver Tomic (CoRR, 2021)

RENT: A Python Package for Repeated Elastic Net Feature Selection. - Anna Jenul; Stefan Schrunner; Bao Huynh; Oliver Tomic (J. Open Source Softw., 2021)

Ranking Feature-Block Importance in Artificial Multiblock Neural Networks. - Anna Jenul; Stefan Schrunner; Bao-Ngoc Huynh; Runar Helin; Cecilia Marie Futsaether; Kristian Hovde Liland; Oliver Tomic (ICANN (4), 2022)

A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS). - Anna Jenul; Stefan Schrunner; Jürgen Pilz; Oliver Tomic (Mach. Learn., 2022)

Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival. - Anna Jenul; Henning Langen Stokmo; Stefan Schrunner; Mona-Elisabeth Revheim; Geir Olav Hjortland; Oliver Tomic (CoRR, 2023)

Principal component-based image segmentation: a new approach to outline in vitro cell colonies. - Delmon Arous; Stefan Schrunner; Ingunn Hanson; Nina Frederike Jeppesen Edin; Eirik Malinen (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

UBayFS: An R Package for User Guided Feature Selection. - Anna Jenul; Stefan Schrunner (J. Open Source Softw., 2023)

Novel ensemble feature selection techniques applied to high-grade gastroenteropancreatic neuroendocrine neoplasms for the prediction of survival. - Anna Jenul; Henning Langen Stokmo; Stefan Schrunner; Geir Olav Hjortland; Mona-Elisabeth Revheim; Oliver Tomic (Comput. Methods Programs Biomed., 2024)