Modernes, mehrstöckiges Gebäude mit dunkler Fassade und großen Fenstern unter bewölktem Himmel

Publikationen

M. Lange-Geisler, K. Dohmen, T. Villmann

Learning of Probability Estimates for System and Network Reliability Analysis by Means of Matrix Learning Vector Quantization

Präsentiert auf: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2025
21275 konferenzpaper
M. Kaden, A. Engelsberger, R. Schubert, S. Lövdal, E. van den Brandhof, M. Biehl, T. Villmann

Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ

Erschienen in: ESANN 2025 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2025, S. 419 – 424
21276 konferenzpaper
T. Villmann, J. Voigt, J. Voigt, J. Voigt, M. Kaden

Prototype Networks for Reliable Classification Decision based on Gene Expressions for Breast Cancer Detection Integrating Expert Knowledge

Erschienen in: Artificial Intelligence in Medicine and Healthcare, Proceedings of the 1st International Conference on AI in Medicine and Healthcare (AiMH' 2025), 8-10 April 2025, Innsbruck, Austria, 2025, S. 14 – 18
21281 konferenzpaper
J. Voigt, M. Kaden, L. Reuss, T. Villmann

Reliable Classification Learning for Medical Data Analysis Using Prototype-Based Models

Präsentiert auf: Artificial Intelligence and Soft Computing. 24th International Conference, 2025
21398 konferenzpaper
S. Panda, M. Kaden, T. Villmann

Stability of Model Explanations in Interpretable Prototype-based Classification Learning

Bielefeld: Bielefeld University Press, 2025, S. 92 – 95
21400 konferenzpaper
F. Zaussinger, D. Fabbian, D. Krüger, L. Gizon

Swaying oscillations in Rayleigh-Bénard convection cast new light on solar convection

Erschienen in: Astronomy & Astrophysics 704 (2025), S. L2
21498 journalartikel
D. Staps, M. Kaden, F. Zaussinger, J. Auth, T. Villmann

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

Erschienen in: 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023
20965 konferenzpaper
P. Szabo, Y. Gaillard, F. Zaussinger, C. Egbers

Thermo‐electrohydrodynamic convection in a differentially heated shell with electric central force field

Erschienen in: Proceedings in Applied Mathematics and Mechanics (PAMM) 23 (2023), S. e202200121
21364 journalartikel
P. Haun, F. Zaussinger, P. Szabo, C. Egbers

AtmoFlow - Investigating planetary fluid flow on the International Space Station

Erschienen in: EGU General Assembly 2021, 2021
14627 konferenzpaper
F. Zaussinger, P. Haun, P. Szabo, C. Egbers

Heat transport in turbulent electro-hydrodynamics

Erschienen in: EGU General Assembly 2021, 2021
14833 konferenzpaper
C. Schröder, R. Böhm, A. Lampe

Comparison of Autoscaling Frameworks for Containerised Machine-Learning-Applications in a Local and Cloud Environment

Präsentiert auf: 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), 2024
21031 konferenzpaper
M. Ritter, N. Hentschel, T. Kaminsky, M. Vodel, A. Sieber, M. Marasas, R. Beier-Grunwald, C. Roschke, I. Heinze, A. Lampe

Raspberry Pi Controller for Remote Laboratory Hardware Access

Präsentiert auf: The Sixteenth International Conference on Mobile, Hybrid, and On-line Learning - eLmL 2024, 2024
21015 konferenzpaper
A. Lampe, C. Scholz, C. König, D. Beger, E. Weinhold, F. Matthes, K. Hallmann, M. Ritter, M. Achilles, M. Schweizer, R. Beier-Grunwald, C. Roschke, M. Vodel

Enhancing Digital Learning: A User Management and Access System for Remote Laboratories

Präsentiert auf: The Fifteenth International Conference on Mobile, Hybrid, and On-line Learning - eLmL 2023, 2023
20861 konferenzpaper
D. Staps, R. Schubert, M. Kaden, A. Lampe, W. Hermann, T. Villmann

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

Erschienen in: 2022 International Joint Conference on Neural Networks (IJCNN), 2022
15833 konferenzpaper
J. Schulte, D. Staps, A. Lampe

A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements

Erschienen in: arXiv, 2019
20930 konferenzpaper