Frederik Beuth
Orcid: 0000-0001-5482-9787Affiliations:
- Chemnitz University of Technology, Department of Computer Science, Germany
According to our database1,
Frederik Beuth
authored at least 13 papers
between 2009 and 2024.
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Bibliography
2024
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects.
Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024
2023
A large-scale neurocomputational model of spatial cognition integrating memory with vision.
Neural Networks, October, 2023
2022
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks.
J. Intell. Manuf., 2022
Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System.
CoRR, 2022
2020
PhD thesis, 2020
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020.
Proceedings of the Working Notes of CLEF 2020, 2020
2019
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019
2016
The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
2014
A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot.
IEEE Trans. Auton. Ment. Dev., 2014
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
2009