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

Publikationen

T. Villmann, D. Nebel

Median-LVQ for Classification of Dissimilarity Data based on ROC-Optimization

Erschienen in: Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), 2015, S. 1 – 6
16152 sammelbandbeitrag
T. Villmann, M. Lange, M. Biehl

Non-Euclidean Principal Component Analysis by Hebbian Learning

Erschienen in: Neurocomputing, 2015, S. 107 – 119
15257 journalartikel
M. Biehl, B. Hammer, F. Schleif, P. Schneider, T. Villmann

Stationarity of Matrix Relevance LVQ

ISBN: 9781479919604
18729 sammelbandbeitrag
F. Schleif, T. Villmann, X. Zhu

High Dimensional Matrix Relevance Learning

ISBN: 9781479942756
16167 sammelbandbeitrag
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