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2020 – today
- 2022
[c7]Michael Scheiber, Clement Nartey, Anja Zernig, Andre Kästner:
Improving wafer map classification in Industry 4.0. ICPS 2022: 1-6- [c6]Corinna Kofler, Claudia Anna Dohr, Judith Dohr, Anja Zernig:
Data-Centric Model Development to Improve the CNN Classification of Defect Density SEM Images. IECON 2022: 1-6 - 2021
- [i1]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) - 2020
- [c5]Stefan Schrunner, Bernhard C. Geiger, Anja Zernig, Roman Kern:
A generative semi-supervised classifier for datasets with unknown classes. SAC 2020: 1066-1074
2010 – 2019
- 2019
- [c4]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
- [c3]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
- [c2]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 - 2014
- [c1]Anja Zernig, Olivia Bluder, Jürgen Pilz, Andre Kästner:
Device level maverick screening: detection of risk devices through independent component analysis. WSC 2014: 2661-2670
Coauthor Index
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