Items where Author / Artist / Editor is "Sacha, Dominik"

Article

Jentner, Wolfgang, Sacha, Dominik, Stoffel, Florian, Ellis, Geoffrey, Zhang, Leishi ORCID: https://orcid.org/0000-0002-3158-2328 and Keim, Daniel A. (2018) Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool. The Visual Computer, 34 (9) . pp. 1225-1241. ISSN 0178-2789 (doi:10.1007/s00371-018-1483-0)

Sacha, Dominik, Sedlmair, Michael, Zhang, Leishi ORCID: https://orcid.org/0000-0002-3158-2328, Lee, John A., Peltonen, Jaakko, Weiskopf, Daniel, North, Stephen C. and Keim, Daniel A. (2017) What you see is what you can change: human-centred machine learning by interactive visualization. Neurocomputing, 268 . pp. 164-175. ISSN 0925-2312 (doi:10.1016/j.neucom.2017.01.105)

Sacha, Dominik, Zhang, Leishi ORCID: https://orcid.org/0000-0002-3158-2328, Sedlmair, Michael, Lee, John A., Peltonen, Jaakko, Weiskopf, Daniel, North, Stephen C. and Keim, Daniel A. (2017) Visual interaction with dimensionality reduction: a structured literature analysis. IEEE Transactions on Visualization and Computer Graphics, 23 (1) . pp. 241-250. ISSN 1077-2626 (doi:10.1109/TVCG.2016.2598495)

Conference or Workshop Item

Sacha, Dominik, Jentner, Wolfgang, Zhang, Leishi ORCID: https://orcid.org/0000-0002-3158-2328, Stoffel, Florian and Ellis, Geoffrey (2017) Visual comparative case analytics. EuroVis Workshop on Visual Analytics (EuroVA). In: EuroVis Workshop on Visual Analytics, 12-13 June 2017, Barcelona, Spain. ISBN 9783038680420. (doi:10.2312/eurova.20171119)

Sacha, Dominik, Sedlmair, Michael, Zhang, Leishi ORCID: https://orcid.org/0000-0002-3158-2328, Lee, John Aldo, Weiskopf, Daniel, North, Stephen and Keim, Daniel (2016) Human-centered machine learning through interactive visualization. ESANN 2016: 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium April 27-28-29, 2016 Proceedings. In: 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 27-29 Apr 2016, Bruges, Belgium. ISBN 9782875870261.