Recurrent Dilated DenseNets for a Time-Series Segmentation Task. - Alexander Fuchs 009; Robin Priewald; Franz Pernkopf (ICMLA, 2019)

Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks. - Truc Nguyen; Alexander Fuchs 009; Franz Pernkopf (ICMLA, 2019)

Wasserstein Routed Capsule Networks. - Alexander Fuchs 009; Franz Pernkopf (CoRR, 2020)

Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation. - Alexander Fuchs 009; Johanna Rock; Máté Tóth; Paul Meissner; Franz Pernkopf (CoRR, 2021)

Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks. - Alexander Fuchs 009; Christian Knoll 002; Franz Pernkopf (CoRR, 2021)

Example or Prototype? Learning Concept-Based Explanations in Time-Series. - Christoph Obermair; Alexander Fuchs 009; Franz Pernkopf; Lukas Felsberger; Andrea Apollonio; Daniel Wollmann (ACML, 2022)

Self-Attention for Enhanced OAMP Detection in MIMO Systems. - Alexander Fuchs 009; Christian Knoll 002; Nima N. Moghadam; Alexey Pak; Jinliang Huang; Erik Leitinger; Franz Pernkopf (ICASSP, 2023)

Data-Scarce Condition Modeling Requires Model-Based Prior Regularization. - Nikolaus Mutsam; Alexander Fuchs 009; Fabio Ziegler; Franz Pernkopf (ICASSP, 2024)

Avoiding Domain Drift and Constant Predictions with Diffusion Enhanced Vector-Quantized Autoencoders for Temperature Predictions. - Nina Lampl; João Machado de Freitas; Alexander Fuchs 009; Benedikt Brezina; Michael Klitzsch; Franz Pernkopf (ICASSP, 2025)

Multiantenna Radar Signal Interference Mitigation Using Complex-Valued Convolutional Neural Networks. - Alexander Fuchs 009; Johanna Rock; Máté Tóth; Paul Meissner; Franz Pernkopf (IEEE Trans. Syst. Man Cybern. Syst., 2025)