Items where Author is "Keim, D."
Sevastjanova, R., Becker, F., Ell, B. , Turkay, C. ORCID: 0000-0001-6788-251X, Henkin, R. ORCID: 0000-0002-5511-5230, Butt, M., Keim, D. & Mennatallah, E-A. (2018). Going beyond Visualization. Verbalization as Complementary Medium to Explain Machine Learning Models. Paper presented at the VIS Workshop on Visualization for AI Explainability (VISxAI), 22 October 2018, Berlin, Germany.
Andrienko, N., Lammarsch, T., Andrienko, G. , Fuchs, G., Keim, D., Miksch, S. & Rind, A. (2018). Viewing Visual Analytics as Model Building. Computer Graphics Forum, 37(6), pp. 275-299. doi: 10.1111/cgf.13324
Stein, M., Janetzko, H., Lamprecht, A. , Breitkreutz, T., Zimmermann, P., Goldlucke, B., Schreck, T., Andrienko, G., Grossniklaus, M. & Keim, D. (2018). Bring it to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis. IEEE Transactions on Visualization and Computer Graphics, 24(1), pp. 13-22. doi: 10.1109/tvcg.2017.2745181
Sacha, D., Al-Masoudi, F., Steinbrecher, M. , Schreck, T., Keim, D., Andrienko, G. & Janetzko, H. (2017). Dynamic Visual Abstraction of Soccer Movement. Computer Graphics Forum, 36(3), pp. 305-315. doi: 10.1111/cgf.13189
Andrienko, G., Andrienko, N., Keim, D. , MacEachren, A. & Wrobel, S. (2011). Challenging problems of geospatial visual analytics. Journal of Visual Languages and Computing, 22(4), pp. 251-256. doi: 10.1016/j.jvlc.2011.04.001
Andrienko, G., Andrienko, N., Bak, P. , Keim, D., Kisilevich, S. & Wrobel, S. (2011). A conceptual framework and taxonomy of techniques for analyzing movement. Journal of Visual Languages and Computing, 22(3), pp. 213-232. doi: 10.1016/j.jvlc.2011.02.003
Andrienko, G., Andrienko, N., Bremm, S. , Schreck, T., Von Landesberger, T., Bak, P. & Keim, D. (2010). Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns. Computer Graphics Forum, 29(3), pp. 913-922. doi: 10.1111/j.1467-8659.2009.01664.x
Andrienko, G., Andrienko, N., Bak, P. , Bremm, S., Keim, D., Von Landesberger, T., Pölitz, C. & Schreck, T. (2010). A framework for using self-organising maps to analyse spatiotemporal patterns, exemplified by analysis of mobile phone usage. Journal of Location Based Services, 4(3-4), pp. 200-221. doi: 10.1080/17489725.2010.532816
Andrienko, G., Andrienko, N., Jankowski, P. , Keim, D., Kraak, M. J., MacEachren, A. & Wrobel, S. (2007). Geovisual analytics for spatial decision support: Setting the research agenda. International Journal of Geographical Information Science, 21(8), pp. 839-857. doi: 10.1080/13658810701349011