Visual support for rastering of unequally spaced time series. - Christian Bors; Markus Bögl; Theresia Gschwandtner; Silvia Miksch (VINCI, 2017)

Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series. - Jürgen Bernard; Christian Bors; Markus Bögl; Christian Eichner; Theresia Gschwandtner; Silvia Miksch; Heidrun Schumann; Jörn Kohlhammer (EuroVA@EuroVis, 2018)

Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data. - Markus Bögl; Christian Bors; Theresia Gschwandtner; Silvia Miksch (EuroVis (Posters), 2018)

Visually Exploring Data Provenance and Quality of Open Data. - Christian Bors; Theresia Gschwandtner; Silvia Miksch (EuroVis (Posters), 2018)

Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics. - Christian Bors; Theresia Gschwandtner; Simone Kriglstein; Silvia Miksch; Margit Pohl (ACM J. Data Inf. Qual., 2018)

Quantifying Uncertainty in Multivariate Time Series Pre-Processing. - Christian Bors; Jürgen Bernard; Markus Bögl; Theresia Gschwandtner; Jörn Kohlhammer; Silvia Miksch (EuroVA@EuroVis, 2019)

Capturing and Visualizing Provenance From Data Wrangling. - Christian Bors; Theresia Gschwandtner; Silvia Miksch (IEEE Computer Graphics and Applications, 2019)

A Provenance Task Abstraction Framework. - Christian Bors; John E. Wenskovitch; Michelle Dowling; Simon Attfield; Leilani Battle; Alex Endert; Olga Kulyk; Robert S. Laramee (IEEE Computer Graphics and Applications, 2019)

Visual-Interactive Preprocessing of Multivariate Time Series Data. - Jürgen Bernard; Marco Hutter 002; Heiko Reinemuth; Hendrik Pfeifer; Christian Bors; Jörn Kohlhammer (Comput. Graph. Forum, 2019)

Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques. - Christian Bors; Christian Eichner; Silvia Miksch; Christian Tominski; Heidrun Schumann; Theresia Gschwandtner (EuroVis (Short Papers), 2020)