Signal Processing and Speech Communication Laboratory
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Alexander Fuchs

Room number
IDEG046
Telephone number
  • office: +43 316 873 - 4379
Position
Research Associate
Email
fuchs@tugraz.at
Student Projects
Publications
  • Conference paper Mutsam N., Fuchs A., Ziegler F. & Pernkopf F. (2024) Data-Scarce Condition Modeling Requires Model-Based Prior Regularization. in 48th IEEE International Conference on Acoustics, Speech, and Signal Processing. [more info]
  • Conference paper Fuchs A., Knoll C., Leitinger E. & Pernkopf F. (2023) Self-attention for enhanced OAMP Detection in MIMO Systems. in 48th IEEE International Conference on Acoustics, Speech, and Signal Processing. [more info] [doi]
  • Conference paper Maier L., Fuchs A. & Pernkopf F. (2023) Distribution Mismatch Correction for Acoustic Scene Classification. in 15th ITG Conference on Speech Communication. [more info]
  • Conference paper Obermair C., Fuchs A., Felsberger L., Pernkopf F., Apollonio A. & Wollmann D. (2023) Example or Prototype? Learning Concept-Based Explanations in Time Series. in 14th Asian Conference on Machine Learning. [more info]
  • Conference paper Fuchs A., Knoll C. & Pernkopf F. (2021) Wasserstein Distribution Correction for Improved Robustness in Deep Neural Networks.. [more info]
  • Conference paper Fuchs A., Rock J., Toth M., Meissner P. & Pernkopf F. (2021) Complex-Valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation.. [more info]
  • Conference paper Fuchs A., Knoll C. & Pernkopf F. (2021) Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks. in Distribution Shifts. [more info]
  • Conference paper Fuchs A., Priewald R. & Pernkopf F. (2020) Laser-based Hair Crack Detection on Wafers. in 2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference. [more info] [doi]
  • Conference paper Fuchs A., Priewald R. & Pernkopf F. (2019) Recurrent Dilated DenseNets for a Time-Series Segmentation Task.. [more info]
  • Conference paper Nguyen T., Pernkopf F. & Fuchs A. (2019) Acoustic Scene Classification Using Deep Mixture of Pre-trained Convolutional Neural Networks.. [more info]