VIS 2020: VIS Full Papers - Vulnerabilities in Machine Learning
Session Webpage: https://virtual.ieeevis.org/session_f-papers-ml-vuln.html
Session start: Tue Oct 27 12:00 UTC-06:00
Session end: Tue Oct 27 13:30 UTC-06:00
Youtube URL: https://youtu.be/BtxxhKdO6Ms
Discord Link: https://discord.com/channels/741879515013316629/767122237819715645
Session Chair(s): Polo Chau
1200-1215: Auditing the Sensitivity of Graph-based Ranking with Visual Analytics by Tiankai Xie, Yuxin Ma, Hanghang Tong, My Thai, Ross Maciejewski.
Presented by Tiankai Xie
1215-1230: Visual Analysis of Discrimination in Machine Learning by Qianwen Wang, Zhenhua Xu, Zhutian Chen, Yong Wang, Shixia Liu, Huamin Qu.
Presented by Qianwen Wang
1230-1245: Selection-Bias-Corrected Visualization via Dynamic Reweighting by David Borland, Jonathan Zhang, Smiti Kaul, David Gotz.
Presented by David Borland
1245-1300: ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion by Andreas Hinterreiter, Peter Ruch, Holger Stitz, Martin Ennemoser, Jürgen Bernard, Hendrik Strobelt, Marc Streit.
Presented by Andreas Hinterreiter
1300-1315: ConceptExplorer: Visual Analysis of Concept Drifts in Multi-source Time-series Data by Xumeng Wang, Wei Chen, Jiazhi Xia, Zexian Chen, Dongshi Xu, Xiangyang Wu, Mingliang Xu, Tobias Schreck.
Presented by Xuemeng Wang
1315-1330: Diagnosing Concept Drift with Visual Analytics by Weikai Yang, Zhen Li, Mengchen Liu, Yafeng Lu, Kelei Cao, Ross Maciejewski, Shixia Liu.
Presented by Weikai Yang
