Informed machine learning–a taxonomy and survey of integrating prior knowledge into learning systems
Despite its great success, machine learning can have its limits when dealing with insufficient
training data. A potential solution is the additional integration of prior knowledge into the …
training data. A potential solution is the additional integration of prior knowledge into the …
The state of the art in enhancing trust in machine learning models with the use of visualizations
Abstract Machine learning (ML) models are nowadays used in complex applications in
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …
[HTML][HTML] Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
Recent developments in maintenance modelling fueled by data-based approaches such as
machine learning (ML), have enabled a broad range of applications. In the automotive …
machine learning (ML), have enabled a broad range of applications. In the automotive …
Interactive correction of mislabeled training data
In this paper, we develop a visual analysis method for interactively improving the quality of
labeled data, which is essential to the success of supervised and semi-supervised learning …
labeled data, which is essential to the success of supervised and semi-supervised learning …
IRVINE: A design study on analyzing correlation patterns of electrical engines
In this design study, we present IRVINE, a Visual Analytics (VA) system, which facilitates the
analysis of acoustic data to detect and understand previously unknown errors in the …
analysis of acoustic data to detect and understand previously unknown errors in the …
Towards visual explainable active learning for zero-shot classification
Zero-shot classification is a promising paradigm to solve an applicable problem when the
training classes and test classes are disjoint. Achieving this usually needs experts to …
training classes and test classes are disjoint. Achieving this usually needs experts to …