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ORCIDMichael Friedrich 0005
Person information
- affiliation: Chemnitz University of Technology, Germany
Other persons with the same name
- Michael Friedrich 0001 — Technical University Munich, Germany
- Michael Friedrich 0002 — University of Tübingen, Germany
- Michael Friedrich 0003 — Fraunhofer IOSB, Germany
- Michael Friedrich 0004 — EPFL, Lausanne, Switzerland
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2020 – today
- 2024
[c4]Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko:
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects. ETFA 2024: 1-4- [i4]Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko:
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects. CoRR abs/2407.20268 (2024) - 2022
- [j1]Tobias Schlosser
, Michael Friedrich, Frederik Beuth, Danny Kowerko:
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks. J. Intell. Manuf. 33(4): 1099-1123 (2022) - 2021
- [i3]Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. CoRR abs/2102.06955 (2021) - 2020
- [c3]Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. IECON 2020: 5323-5330
2010 – 2019
- 2019
- [c2]Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko:
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. ETFA 2019: 1511-1514 - [c1]Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. ICMLA 2019: 1866-1873 - [i2]Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko:
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. CoRR abs/1911.11250 (2019) - [i1]Tobias Schlosser, Michael Friedrich, Danny Kowerko:
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. CoRR abs/1911.11251 (2019)
Coauthor Index
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