K Minimum Enclosing Balls for Outlier DetectionStaps, Daniel, Villmann, Thomas, Paassen, BenjaminInternational Workshop on Self-Organizing Maps, Learning Vector Quantization & Beyond, 2024
Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-EncoderStaps, Daniel, Kaden, Marika, Auth, Jan, et al.2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023
A White-Box Workflow for the Prediction of Food Content From Near-Infrared Data Based on Fourier-TransformationSchubert, Ronny, Reuss, Lynn V, Staps, Daniel, et al.2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023
Learning Vector Quantization in Context of Information Bottleneck TheoryMohannazadeh, Mehrdad, Staps, Daniel, Villmann, ThomasESANN 2023 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and
Machine Learning., 2023
A learning vector quantization architecture for transfer learning based classification in case of multiple sources by means of null-space evaluationStaps, Daniel, Ravichandran, Jensun, Saralajew, Sascha, et al.International Symposium on Intelligent Data Analysis, 2022
Prototype-based one-class-classification learning using local representationsStaps, Daniel, Schubert, Ronny, Kaden, Marika, et al.2022 International Joint Conference on Neural Networks (IJCNN), 2022
A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirementsSchulte, Julia, Staps, Daniel, Lampe, AlexanderarXiv preprint arXiv:1907.07890, 2019