Michael Friedrich

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Semiconductor Manufacturing

Convolutional Neural Networks

Biologically Plausible

Top Venues

J. Intell. Manuf.

Publications

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 (2024)
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) (2022)
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 (2021)
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)
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 (2019)
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)
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)
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 (2019)