- Athanasios Vogogias, Jessie Kennedy, Daniel W. Archambault, Benjamin Bach, V. Anne Smith, Hannah Currant. BayesPiles: Visualisation Support for Bayesian Network Structure Learning. ACM TIST, 10(1), 2019.
- Wei Chen 0001, Jing Xia, Xu-Meng Wang, Yi Wang, Jun Chen, Liang Chang. RelationLines: Visual Reasoning of Egocentric Relations from Heterogeneous Urban Data. ACM TIST, 10(1), 2019.
- Hai Jin 0002, Yuanfeng Lian, Jing Hua. Learning Facial Expressions with 3D Mesh Convolutional Neural Network. ACM TIST, 10(1), 2019.
- Dongyu Liu, Weiwei Cui, Kai Jin, Yuxiao Guo, Huamin Qu. DeepTracker: Visualizing the Training Process of Convolutional Neural Networks. ACM TIST, 10(1), 2019.
- Hsun-Ping Hsieh, Cheng-Te Li. Inferring Online Social Ties from Offline Geographical Activities. ACM TIST, 10(2), 2019.
- Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong. Federated Machine Learning: Concept and Applications. ACM TIST, 10(2), 2019.
- Cong Xie, Wen Zhong, Wei Xu, Klaus Mueller. Visual Analytics of Heterogeneous Data Using Hypergraph Learning. ACM TIST, 10(1), 2019.
- Haoran Liang, Ming Jiang, Ronghua Liang, Qi Zhao. CapVis: Toward Better Understanding of Visual-Verbal Saliency Consistency. ACM TIST, 10(1), 2019.
- Reuth Mirsky, Kobi Gal, Roni Stern, Meir Kalech. Goal and Plan Recognition Design for Plan Libraries. ACM TIST, 10(2), 2019.
- Fan Du, Catherine Plaisant, Neil Spring, Ben Shneiderman. Visual Interfaces for Recommendation Systems: Finding Similar and Dissimilar Peers. ACM TIST, 10(1), 2019.