Daniel Staps
According to our database1,
Daniel Staps
authored at least 7 papers
between 2019 and 2024.
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2024
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Bibliography
2024
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond, 2024
2023
Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
A White-Box Workflow for the Prediction of Food Content From Near-Infrared Data Based on Fourier-Transformation.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
2022
Proceedings of the International Joint Conference on Neural Networks, 2022
A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
2019
A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements.
CoRR, 2019