activity
20172021
most citedCommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling

8 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20211 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.HC20218 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.SI2021

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.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…