Daniel Staps

According to our database1, Daniel Staps authored at least 7 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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1
2
3
4
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3
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Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
K Minimum Enclosing Balls for Outlier Detection.
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

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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