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ORCIDSebastian Siatkowski
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2010 – 2019
- 2017
[b1]Sebastian Siatkowski:
Data Analytics in Test: Recognizing and Reducing Subjectivity. University of California, Santa Barbara, USA, 2017- [c6]Kuo-Kai Hsieh, Sebastian Siatkowski, Li-C. Wang, Wen Chen, Jayanta Bhadra:
Feature extraction from design documents to enable rule learning for improving assertion coverage. ASP-DAC 2017: 51-56 - [c5]Li-C. Wang, Sebastian Siatkowski, Chuanhe Jay Shan, Matthew Nero, Nikolas Sumikawa, LeRoy Winemberg:
Some considerations on choosing an outlier method for automotive product lines. ITC 2017: 1-10 - [c4]Sebastian Siatkowski, Li-C. Wang, Nik Sumikawa, LeRoy Winemberg:
Learning the process for correlation analysis. VTS 2017: 1-6 - 2016
- [c3]Sebastian Siatkowski, Chuanhe Jay Shan, Li-C. Wang
, Nikolas Sumikawa, W. Robert Daasch, John M. Carulli:
Consistency in wafer based outlier screening. VTS 2016: 1-6 - 2015
- [c2]Sebastian Siatkowski, Chia-Ling Chang, Li-C. Wang, Nikolas Sumikawa, LeRoy Winemberg, W. Robert Daasch:
Generalization of an outlier model into a "global" perspective. ITC 2015: 1-10 - 2014
- [c1]Jeff Tikkanen, Sebastian Siatkowski, Nik Sumikawa, Li-C. Wang, Magdy S. Abadir:
Yield optimization using advanced statistical correlation methods. ITC 2014: 1-10
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