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2020 – today
- 2021
[c6]Simone Tedesco, Gian Antonio Susto
, Natalie Gentner, Andreas Kyek, Yao Yang:
A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing. WSC 2021: 1-12- 2020
- [c5]Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek:
Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. WSC 2020: 1875-1885 - [c4]Natalie Gentner, Andreas Kyek, Yao Yang, Mattia Carletti, Gian Antonio Susto:
Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation. WSC 2020: 1898-1909
2010 – 2019
- 2018
- [c3]Bernd Waschneck, Thomas Altenmüller, Thomas Bauernhansl, Andreas Kyek:
Case Study on Operator Compliance to Scheduling Decisions in Semiconductor Manufacturing. CASE 2018: 649-652 - 2016
- [c2]Bernd Waschneck, Thomas Altenmüller, Thomas Bauernhansl, Andreas Kyek:
Production Scheduling in Complex Job Shops from an Industry 4.0 Perspective: A Review and Challenges in the Semiconductor Industry. SAMI@iKNOW 2016 - 2011
- [c1]Hendrik Purwins, Ahmed Nagi, Bernd Barak, Uwe Hockele, Andreas Kyek, Benjamin Lenz, Gunter Pfeifer, Kurt Weinzierl:
Regression methods for prediction of PECVD Silicon Nitride layer thickness. CASE 2011: 387-392
Coauthor Index
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