activity
20182026
most citedGraphStateVis: Interactive Visual Analysis of Qubit Graph States and their Stabilizer Groups

8 citations · 32 across the 10 of their papers we have counts for

collaborators

12 papers

cs.HC2026

BONSAI: A Mixed-Initiative Workspace for Human-AI Co-Development of Visual Analytics Applications

Thilo Spinner, Matthias Miller, Fabian Sperrle-Roth +1

Developing Visual Analytics (VA) applications requires integrating complex machine learning models with expressive interactive interfaces. Developers face a stark trade-off: buildi…

cs.HC2024

MelodyVis: Visual Analytics for Melodic Patterns in Sheet Music

Matthias Miller, Daniel Fürst, Maximilian T. Fischer +3

Manual melody detection is a tedious task requiring high expertise level, while automatic detection is often not expressive or powerful enough. Thus, we present MelodyVis, a visual…

cs.HC2024★ 1 cited

MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework

Maximilian T. Fischer, Yannick Metz, Lucas Joos +2

AI-driven models are increasingly deployed in operational analytics solutions, for instance, in investigative journalism or the intelligence community. Current approaches face two…

cs.HC2023★ 5 cited

SkiVis: Visual Exploration and Route Planning in Ski Resorts

Julius Rauscher, Raphael Buchmüller, Daniel A. Keim +1

Optimal ski route selection is a challenge based on a multitude of factors, such as the steepness, compass direction, or crowdedness. The personal preferences of every skier toward…

cs.HC2022★ 1 cited

Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications

Maximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner +3

Digital systems for analyzing human communication data have become prevalent in recent years. Intelligence analysis of communications data in investigative journalism, criminal int…

cs.HC2022

CorpusVis: Visual Analysis of Digital Sheet Music Collections

Matthias Miller, Julius Rauscher, Daniel A. Keim +1

Manually investigating sheet music collections is challenging for music analysts due to the magnitude and complexity of underlying features, structures, and contextual information.…

quant-ph2021★ 8 cited

GraphStateVis: Interactive Visual Analysis of Qubit Graph States and their Stabilizer Groups

Matthias Miller, Daniel Miller

Fathoming out quantum state space is a challenging endeavor due to its exponentially growing dimensionality. At the expense of being bound in its expressiveness, the discrete and f…

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★ 4 cited

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.GR2019

Evaluating Ordering Strategies of Star Glyph Axes

Matthias Miller, Xuan Zhang, Johannes Fuchs +1

Star glyphs are a well-researched visualization technique to represent multi-dimensional data. They are often used in small multiple settings for a visual comparison of many data p…

cs.HC2019★ 6 cited

Augmenting Music Sheets with Harmonic Fingerprints

Matthias Miller, Alexandra Bonnici, Mennatallah El-Assady

Conventional Music Notation (CMN) is the well-established foundation for the written communication of musical information, such as rhythm, harmony, or timbre. However, CMN suffers…

cs.IR2018★ 7 cited

Analyzing Visual Mappings of Traditional and Alternative Music Notation

Matthias Miller, Johannes Häußler, Matthias Kraus +2

In this paper, we postulate that combining the domains of information visualization and music studies paves the ground for a more structured analysis of the design space of music n…