Diminishing Returns - Data Integer Quantization and its Effects on Training Dynamics of Distance Based Classifiers
Domination Reliability Analysis Based on Graph Features Using Generalized Matrix LVQ
Enforcing Feature Sparseness for Reliable Classification by Prototype-Based Models
Evaluation of Rashomon Sets for the Determination of Stable and Plausible Model Explanations
FA(IR)2MA-GLVQ – A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix 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