Reliable Counterfactuals for Machine Learning Models - Current Aspects and Perspectives
Topology-Preserving Prototype Learning on Riemannian Manifolds
Aligning generalization between humans and machines
Entwicklung eines Fragebogens zur Erfassung der Wirkfaktoren Kommunikativer Bewegungstherapie: IP-Kom62 und IP-Kom22
Integrating Class Relation Knowledge in Probabilistic Learning Vector Quantization
Swaying oscillations in Rayleigh-Bénard convection cast new light on solar convection
Compression of Particle Images for Inspection of Microgravity Experiments by Means of a Symmetric Structural Auto-Encoder
Thermo‐electrohydrodynamic convection in a differentially heated shell with electric central force field
AtmoFlow - Investigating planetary fluid flow on the International Space Station
Heat transport in turbulent electro-hydrodynamics
Comparison of Autoscaling Frameworks for Containerised Machine-Learning-Applications in a Local and Cloud Environment
Raspberry Pi Controller for Remote Laboratory Hardware Access
Enhancing Digital Learning: A User Management and Access System for Remote Laboratories
Prototype-based One-Class-Classification Learning Using Local Representations
A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements