Schubert, Ronny

M.Sc.

Positionen

Mitarbeiter, Fachgruppe Mathematik, Fakultät Angewandte Computer- und Biowissenschaften

Forschungsschwerpunkt

Angewandte Informatik Forschungsschwerpunkt

ausgewählte Veröffentlichungen

Journalartikel
- The LVQ-based Counter Propagation Network -- an Interpretable Information Bottleneck Approach. ESANN 2021 - proceedings. 2021
Konferenzpaper
- A White-Box Workflow for the Prediction of Food Content From Near-Infrared Data Based on Fourier-Transformation. 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). 2023
- Variants of Neural Gas for Regression Learning. ESANN 2023 Proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 659-664. 2023
- Prototype-based One-Class-Classification Learning Using Local Representations. 2022 International Joint Conference on Neural Networks (IJCNN). 2022
- Steps Forward to Quantum Learning Vector Quantization for Classification Learning on a Theoretical Quantum Computer. Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. 63-73. 2022

vollständiger Name

Ronny Schubert

KoautorInnen-Netzwerk

Kontaktdaten

+49 3727 581243