3 papers
cs.HC2020
Augmenting Sheet Music with Rhythmic Fingerprints
Daniel Fürst, Matthias Miller, Daniel Keim +3
In this paper, we bridge the gap between visualization and musicology by focusing on rhythm analysis tasks, which are tedious due to the complex visual encoding of the well-establi…
cs.HC2019
Framing Visual Musicology through Methodology Transfer
Matthias Miller, Hanna Schäfer, Matthias Kraus +3
In this position paper, we frame the field of Visual Musicology by providing an overview of well-established musicological sub-domains and their corresponding analytic and visualiz…
cs.HC2019
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning
Thilo Spinner, Udo Schlegel, Hanna Schäfer +1
We propose a framework for interactive and explainable machine learning that enables users to (1) understand machine learning models; (2) diagnose model limitations using different…