VIS 2020: CG&A Full Papers - Toward Better Visual Analysis

VIS 2020: CG&A Full Papers - Toward Better Visual Analysis
Session start: Thu Oct 29 10:00 UTC-06:00
Session end: Thu Oct 29 11:30 UTC-06:00
Session Chair(s): Melanie Tory
1000-1015: Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach by Hammad Haleem, Yong Wang, Abishek Puri, Sahil Wadhwa, Huamin Qu.
Presented by Hammad Haleem, Abishek Puri
1015-1030: Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning by Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang.
Presented by Jun Han
1030-1045: Analytic Provenance in Practice: The Role of Provenance in Real-World Visualization and Data Analysis Environments by Karthic Madanagopal, Eric D. Ragan, Perakath Benjamin.
Presented by Karthic Madanagopal
1045-1100: A Provenance Task Abstraction Framework by Christian Bors, John Wenskovitch, Michelle Dowling, Simon Attfield, Leilani Battle, Alex Endert, Olga Kulyk, Robert S. Laramee.
Presented by Simon Attfield
1100-1115: Capturing and Visualizing Provenance From Data Wrangling by Christian Bors, Theresia Gschwandtner, Silvia Miksch.
Presented by Christian Bors
1115-1130: Towards Placental Surface Vasculature Exploration in Virtual Reality by Johannes Novotny, Wesley R. Miller, François I. Luks, Derek Merck, Scott Collins, David H. Laidlaw.
Presented by Johannes Novotny