Daniel Staps

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder.

Daniel Staps, Marika Kaden, Jan Auth, Florian Zaussinger, Thomas Villmann

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.

Ronny Schubert, Lynn V. Reuss, Daniel Staps, Marika Kaden, Thomas Villmann, Robert Hasler, Robin Herz, Till Tiemann, Wolfram Richardt

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.

Mehrdad Mohannazadeh Bakhtiari, Daniel Staps, Thomas Villmann

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

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

Daniel Staps, Ronny Schubert, Marika Kaden, Alexander Lampe, Wieland Hermann, Thomas Villmann

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.

Thomas Villmann, Daniel Staps, Jensun Ravichandran, Sascha Saralajew, Michael Biehl, Marika Kaden

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.

Julia Schulte, Daniel Staps, Alexander Lampe

CoRR, 2019