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Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study
(The Eurographics Association, 2023)
Feature ideation is a crucial early step in the feature extraction process, where new features are extracted from raw data. For phenomena existing in time series data, this often includes the ideation of statistical ...
Why am I reading this? Explaining Personalized News Recommender Systems
(The Eurographics Association, 2023)
Social media and online platforms significantly impact what millions of people get exposed to daily, mainly through recommended content. Hence, recommendation processes have to benefit individuals and society. With this ...
SepEx: Visual Analysis of Class Separation Measures
(The Eurographics Association, 2020)
Class separation is an important concept in machine learning and visual analytics. However, the comparison of class separation for datasets with varying dimensionality is non-trivial, given a) the various possible structural ...
LFPeers: Temporal Similarity Search in Covid-19 Data
(The Eurographics Association, 2021)
While there is a wide variety of visualizations and dashboards to help understand the data of the Covid-19 pandemic, hardly any of these support important analytical tasks, especially of temporal attributes. In this paper, ...
Quantifying Uncertainty in Multivariate Time Series Pre-Processing
(The Eurographics Association, 2019)
In multivariate time series analysis, pre-processing is integral for enabling analysis, but inevitably introduces uncertainty into the data. Enabling the assessment of the uncertainty and allowing uncertainty-aware analysis, ...
EuroVa 2021: Frontmatter
(The Eurographics Association, 2021)
EuroVa 2022: Frontmatter
(The Eurographics Association, 2022)
Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling
(The Eurographics Association, 2019)
Manually labeling data sets is a time-consuming and expensive task that can be accelerated by interactive machine learning and visual analytics approaches. At the core of these approaches are strategies for the selection ...
RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings
(The Eurographics Association, 2022)
Item rankings are useful when a decision needs to be made, especially if there are multiple attributes to be considered. However, existing tools either do not support both categorical and numerical attributes, require ...
Interactive Visual Explanation of Incremental Data Labeling
(The Eurographics Association, 2022)
We present a visual analytics approach for the in-depth analysis and explanation of incremental machine learning processes that are based on data labeling. Our approach offers multiple perspectives to explain the process, ...