Generative Data Models for Validation and Evaluation of Visualization Techniques. In ACM (Eds.), BELIV '16: Beyond Time And Errors: Novel Evaluation Methods For Visualization, 2016. [PUMA: visus:hlawatml sfbtrr161 visus:netzelrf visus:ertl visus vis-ertl visus:karchgz visus:weiskopf vis-gis 2016 vis(us) sfbtrr75 visus:schulzch visus:freysn] URL
Generative Data Models for Validation and Evaluation of Visualization Techniques. Proceedings of the Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV), 112–124, 2016. [PUMA: visus:hlawatml visus:karchgz visus:weiskopf A02 sfbtrr161 2016 visus:netzelrf visus:ertl visus:schulzch visus:freysn] URL
Generative Data Models for Validation and Evaluation of Visualization Techniques. Proceedings of the Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV), 112-124, ACM, 2016. [PUMA: A01 visus:hlawatml A02 sfbtrr161 A03 B02 D02 visus:netzelrf visus:ertl visus vis-ertl visus:karchgz visus:weiskopf vis-gis 2016 from:mueller vis(us) sfbtrr75 visus:schulzch visus:freysn] URL