15 citations · 36 across the 9 of their papers we have counts for
11 papers
IMFACT: Counterfactual Explanations for Time Series via Intrinsic Mode Function Substitution
Udo Schlegel, Julian Rakuschek, Thomas Seidl +3
Oscillatory signals, such as vibration, carry class-discriminative information in specific frequency bands; perturbing them in raw feature space for counterfactual analysis easily…
Geometric Data Science
Olga D Anosova, Vitaliy A Kurlin
This book introduces the new research area of Geometric Data Science, where data can represent any real objects through geometric measurements. The first part of the book focuses o…
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization
Daniel Atzberger, Tim Cech, Willy Scheibel +4
Topic models are a class of unsupervised learning algorithms for detecting the semantic structure within a text corpus. Together with a subsequent dimensionality reduction algorith…
Motif-Based Visual Analysis of Dynamic Networks
Eren Cakmak, Johannes Fuchs, Dominik Jäckle +3
Many data analysis problems rely on dynamic networks, such as social or communication network analyses. Providing a scalable overview of long sequences of such dynamic networks rem…
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning
Xumeng Wang, Wei Chen, Jiazhi Xia +3
Horizontal federated learning (HFL) enables distributed clients to train a shared model and keep their data privacy. In training high-quality HFL models, the data heterogeneity amo…
dg2pix: Pixel-Based Visual Analysis of Dynamic Graphs
Eren Cakmak, Dominik Jäckle, Tobias Schreck +1
Presenting long sequences of dynamic graphs remains challenging due to the underlying large-scale and high-dimensional data. We propose dg2pix, a novel pixel-based visualization te…
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs
Eren Cakmak, Udo Schlegel, Dominik Jäckle +2
The overview-driven visual analysis of large-scale dynamic graphs poses a major challenge. We propose Multiscale Snapshots, a visual analytics approach to analyze temporal summarie…
ConceptExplorer: Visual Analysis of Concept Driftsin Multi-source Time-series Data
Xumeng Wang, Wei Chen, Jiazhi Xia +5
Time-series data is widely studied in various scenarios, like weather forecast, stock market, customer behavior analysis. To comprehensively learn about the dynamic environments, i…
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization
Jiazhi Xia, Tianxiang Chen, Lei Zhang +5
Nowadays, as data becomes increasingly complex and distributed, data analyses often involve several related datasets that are stored on different servers and probably owned by diff…
FDive: Learning Relevance Models using Pattern-based Similarity Measures
Frederik L. Dennig, Tom Polk, Zudi Lin +3
The detection of interesting patterns in large high-dimensional datasets is difficult because of their dimensionality and pattern complexity. Therefore, analysts require automated…
Visual Pattern-Driven Exploration of Big Data
Michael Behrisch, Robert Krueger, Fritz Lekschas +3
Pattern extraction algorithms are enabling insights into the ever-growing amount of today's datasets by translating reoccurring data properties into compact representations. Yet, a…