A. Rind, Federico, P., Gschwandtner, T., Aigner, W., Doppler, J., and Wagner, M., “Visual Analytics of Electronic Health Records with a Focus on Time”, in New Perspectives in Medical Records: Meeting the Needs of Patients and Practitioners, Springer, 2017, pp. 65-77.
Visual analytics
M. Röhlig et al., “Supporting Activity Recognition by Visual Analytics”, in Proceedings of the IEEE Conference on Visual Analytics Science and Technology, 2015.
M. Bögl et al., “Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series”, in Poster Proceedings of the IEEE Visualization Conference 2015, 2015.
M. Wagner et al., “A Survey of Visualization Systems for Malware Analysis”, in Eurographics Conference on Visualization (EuroVis) State of The Art Reports, 2015, pp. 105–125.
T. Gschwandtner et al., “Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model”, in Poster Proceedings of the Eurographics Conference on Visualization (EuroVis 2015), 2015, p. 3.
P. Bodesinsky, Alsallakh, B., Gschwandtner, T., and Miksch, S., “Exploration and Assessment of Event Data”, in Sixth International EuroVis Workshop on Visual Analytics (EuroVA) 2015, 2015, p. 5.
M. Bögl et al., “Integrating Predictions in Time Series Model Selection”, in Proceedings of the EuroVis Workshop on Visual Analytic, EuroVA, 2015, pp. 73-77.
F. Windhager, Amor-Amorós, A., Smuc, M., Federico, P., Zenk, L., and Miksch, S., “A concept for the exploratory visualization of patent network dynamics”, in Proceedings of the 6th International Conference on Information Visualization Theory and Applications, 2015.
T. Lammarsch, Aigner, W., Miksch, S., and Rind, A., “Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing”, in Death of the Desktop - Workshop co-located with IEEE VIS 2014, 2014.
M. Bögl et al., “Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions”, in Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics, 2014.