ausgewählte Veröffentlichungen

• Konferenzpaper

  • A White-Box Workflow for the Prediction of Food Content From Near-Infrared Data Based on Fourier-Transformation.  2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). 2023
  • Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder.  2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). 2023
  • Learning Vector Quantization in Context of Information Bottleneck Theory.  ESANN 2023 Proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 375-380. 2023
  • A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation.  Lecture Notes in Computer Science. 354-364. 2022
  • Prototype-based One-Class-Classification Learning Using Local Representations.  2022 International Joint Conference on Neural Networks (IJCNN). 2022
  • A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements.  arXiv. 2019