Alexander Fuchs

Dipl.-Ing., BSc

Graz University of Technology, Institute of Signal Processing and Speech Communication (4420)

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3 Conference contribution
1 Abstract

Laser-based Hair Crack Detection on Wafers
Fuchs, A., Priewald, R. & Pernkopf, F., Aug 2020, 2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference, ASMC 2020. 6 p. 9185278. (ASMC (Advanced Semiconductor Manufacturing Conference) Proceedings; vol. 2020-August).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Acoustic Scene Classification Using Deep Mixture of Pre-trained Convolutional Neural Networks
Nguyen, T. K. T., Pernkopf, F. & Fuchs, A., 2019, IEEE International Conference on Machine Learning and Applications.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Recurrent Dilated DenseNets for a Time-Series Segmentation Task
Fuchs, A., Priewald, R. & Pernkopf, F., 2019, IEEE International Conference on Machine Learning and Applications.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Embedded atom model potentials for metallic nanoparticles based on neural networks
Meyer, R., Fuchs, A. & Hauser, A., Jun 2018, p. 27. 1 p.
Research output: Contribution to conference › Abstract

2 Poster presentation

Embedded atom model potentials for metallic nanoparticles based on neural networks
Ralf Meyer (Speaker), Alexander Fuchs (Contributor), Andreas Hauser (Contributor)
13 Jun 2018 → 15 Jun 2018
Activity: Talk or presentation › Poster presentation › Science to science
Methodological improvements to multi-layered feed-forward networks applied to metallic systems
Alexander Fuchs (Speaker), Ralf Meyer (Contributor), Andreas Hauser (Contributor)
13 Jun 2018 → 15 Jun 2018
Activity: Talk or presentation › Poster presentation › Science to science

Laser-based Hair Crack Detection on Wafers

Acoustic Scene Classification Using Deep Mixture of Pre-trained Convolutional Neural Networks

Recurrent Dilated DenseNets for a Time-Series Segmentation Task

Embedded atom model potentials for metallic nanoparticles based on neural networks

Embedded atom model potentials for metallic nanoparticles based on neural networks

Methodological improvements to multi-layered feed-forward networks applied to metallic systems