Daniel Staps

According to our database1, Daniel Staps authored at least 6 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

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

Learning Vector Quantization in Context of Information Bottleneck Theory.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022
Prototype-based One-Class-Classification Learning Using Local Representations.
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


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