Ross Maciejewski

Affiliation

Arizona State University, USA

Publications

	Aoyu Wu, Dazhen Deng, Min Chen, Shixia Liu, Daniel Keim, Ross Maciejewski, Silvia Miksch, Hendrik Strobelt, Fernanda Viégas, Martin Wattenberg, "Grand Challenges in Visual Analytics Applications", IEEE Computer Graphics and Applications, vol. 43, pp. 83-90, 2023.
	Niklas Elmqvist, Brian Fisher, Peter Lindstrom, Ross Maciejewski, Miriah Meyer, Silvia Miksch, Luis Nonato, Nathalie Riche, Han-Wei Shen, Ruediger Westermann, Jo Wood, Jing Yang, "VIS 2020 - Preface", IEEE Transactions on Visualization and Computer Graphics, vol. 27, pp. xviii-xxv, 2021.

Edited Publications

	Theresia Gschwandtner, Heidrun Schumann, Jürgen Bernard, Thorsten May, Markus Bögl, Silvia Miksch, Jörn Kohlhammer, Martin Röhlig, Bilal Alsallakh, "Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model", Poster Proceedings of the Eurographics Conference on Visualization (EuroVis 2015), pp. 3, 2015.
	Christian Bors, Theresia Gschwandtner, Silvia Miksch, "QualityFlow: Provenance Generation from Data Quality", Proceedings of the Eurographics Conference on Visualization (EuroVis) - Posters 2015, pp. 3, 2015.
	Bilal Alsallakh, Luana Micallef, Wolfgang Aigner, Helwig Hauser, Silvia Miksch, Peter Rodgers, "Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges", Eurographics conference on Visualization (EuroVis)– State of The Art Reports, pp. 1-21, 2014. Survey Browser
	Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind, "Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions", Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics, 2014.

Reviewed Publications

Markus Bögl, "Visual Analysis of Periodic Time Series Data - Supporting Model Selection, Prediction, Imputation, and Outlier Detection Using Visual Analytics", Institute of Visual Computing and Human-Centered Technology, vol. PhD, Dr.-techn., 2020.