activity
20172025
most citedVisual Analytics for Temporal Hypergraph Model Exploration

33 citations · 74 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2025

Validation of AI-Based 3D Human Pose Estimation in a Cyber-Physical Environment

Lisa Marie Otto, Michael Kaiser, Daniel Seebacher +1

Ensuring safe and realistic interactions between automated driving systems and vulnerable road users (VRUs) in urban environments requires advanced testing methodologies. This pape…

cs.LG2021★ 1 cited

TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models

Udo Schlegel, Duy Vo Lam, Daniel A. Keim +1

Time series forecasting is a demanding task ranging from weather to failure forecasting with black-box models achieving state-of-the-art performances. However, understanding and de…

cs.HC2021★ 26 cited

Towards a Survey on Static and Dynamic Hypergraph Visualizations

Maximilian T. Fischer, Alexander Frings, Daniel A. Keim +1

Leveraging hypergraph structures to model advanced processes has gained much attention over the last few years in many areas, ranging from protein-interaction in computational biol…

cs.HC2021★ 8 cited

CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling

Maximilian T. Fischer, Daniel Seebacher, Rita Sevastjanova +2

Communication consists of both meta-information as well as content. Currently, the automated analysis of such data often focuses either on the network aspects via social network an…

cs.HC2021★ 1 cited

Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers

Maximilian T. Fischer, Frederik L. Dennig, Daniel Seebacher +2

The automated analysis of digital human communication data often focuses on specific aspects such as content or network structure in isolation. This can provide limited perspective…

cs.SI2021★ 5 cited

Visual Analytics of Conversational Dynamics

Daniel Seebacher, Maximilian T. Fischer, Rita Sevastjanova +2

Large-scale interaction networks of human communication are often modeled as complex graph structures, obscuring temporal patterns within individual conversations. To facilitate th…

cs.HC2020

MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales

Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher +2

Segmenting biologging time series of animals on multiple temporal scales is an essential step that requires complex techniques with careful parameterization and possibly cross-doma…

cs.HC2020★ 33 cited

Visual Analytics for Temporal Hypergraph Model Exploration

Maximilian T. Fischer, Devanshu Arya, Dirk Streeb +3

Many processes, from gene interaction in biology to computer networks to social media, can be modeled more precisely as temporal hypergraphs than by regular graphs. This is because…

cs.HC2017

Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species

Daniel Seebacher, Johannes Häußler, Michael Hundt +4

Invasive species are a major cause of ecological damage and commercial losses. A current problem spreading in North America and Europe is the vinegar fly Drosophila suzukii. Unlike…