Articles with public access mandates - Zhidong LiLearn more
Not available anywhere: 4
Indexing cognitive workload based on pupillary response under luminance and emotional changes
W Wang, Z Li, Y Wang, F Chen
Proceedings of the 2013 international conference on Intelligent user …, 2013
Mandates: Australian Research Council
Data driven water pipe failure prediction: A bayesian nonparametric approach
P Lin, B Zhang, Y Wang, Z Li, B Li, Y Wang, F Chen
Proceedings of the 24th ACM International on Conference on Information and …, 2015
Mandates: Australian Research Council
Visual tracking by proto-objects
Z Li, W Wang, Y Wang, F Chen, Y Wang
Pattern recognition 46 (8), 2187-2201, 2013
Mandates: Australian Research Council
A Bayesian Non-parametric Viewpoint to Visual Tracking
Y Wang, Z Li, Y Wang, F Chen
WACV, 2013
Mandates: Australian Research Council
Available somewhere: 7
Measurable decision making with GSR and pupillary analysis for intelligent user interface
J Zhou, J Sun, F Chen, Y Wang, R Taib, A Khawaji, Z Li
ACM Transactions on Computer-Human Interaction (ToCHI) 21 (6), 1-23, 2015
Mandates: Australian Research Council
Making machine learning useable by revealing internal states update-a transparent approach
J Zhou, MA Khawaja, Z Li, J Sun, Y Wang, F Chen
International Journal of Computational Science and Engineering 13 (4), 378-389, 2016
Mandates: Australian Research Council
Effects of influence on user trust in predictive decision making
J Zhou, Z Li, H Hu, K Yu, F Chen, Z Li, Y Wang
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
Mandates: US Department of Defense
Physiological indicators for user trust in machine learning with influence enhanced fact-checking
J Zhou, H Hu, Z Li, K Yu, F Chen
Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4 …, 2019
Mandates: US Department of Defense
End-user development for interactive data analytics: Uncertainty, correlation and user confidence
J Zhou, SZ Arshad, X Wang, Z Li, D Feng, F Chen
IEEE Transactions on Affective Computing 9 (3), 383-395, 2017
Mandates: US Department of Defense
Transparent machine learning—revealing internal states of machine learning
J Zhou, Z Li, Y Wang, F Chen
Proceedings of IUI2013 Workshop on Interactive Machine Learning, 1-3, 2013
Mandates: Australian Research Council
Fair representation learning with unreliable labels
Y Zhang, F Zhou, Z Li, Y Wang, F Chen
International Conference on Artificial Intelligence and Statistics, 4655-4667, 2023
Mandates: National Natural Science Foundation of China
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