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Christine Y. Zhang
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2020 – today
- 2022
- [c7]Carson K. Leung, Evan W. R. Madill, Nguyen Duy Thong Tran, Christine Y. Zhang:
Health Informatics on Big COVID-19 Pandemic Data via N-Shot Learning. BIBM 2022: 2784-2791 - [c6]Carson K. Leung, Evan W. R. Madill, Joglas Souza, Christine Y. Zhang:
Towards Trustworthy Artificial Intelligence in Healthcare. ICHI 2022: 626-632 - 2021
- [j1]Joseline Raja Vora, Ameer Helmi, Christine Y. Zhang, Eliora Olivares, Tina Vu, Marie Wilkey, Samantha Noregaard, Naomi T. Fitter, Samuel W. Logan:
Influence of a Socially Assistive Robot on Physical Activity, Social Play Behavior, and Toy-Use Behaviors of Children in a Free Play Environment: A Within-Subjects Study. Frontiers Robotics AI 8: 768642 (2021) - [c5]Carson K. Leung, Thanh Huy Daniel Mai, Nguyen Duy Thong Tran, Christine Y. Zhang:
Predictive Analytics to Support Health Informatics on COVID-19 Data. BIBE 2021: 1-9 - [c4]Daryl L. X. Fung, Calvin S. H. Hoi, Carson K. Leung, Christine Y. Zhang:
Predictive Analytics of COVID-19 with Neural Networks. IJCNN 2021: 1-8 - 2020
- [c3]Carson K. Leung, Oluwafemi A. Sarumi, Christine Y. Zhang:
Predictive Analytics on Genomic Data with High-Performance Computing. BIBM 2020: 2187-2194 - [c2]Carson K. Leung, Daryl L. X. Fung, Saad B. Mushtaq, Owen T. Leduchowski, Robert Luc Bouchard, Hui Jin, Alfredo Cuzzocrea, Christine Y. Zhang:
Data science for healthcare predictive analytics. IDEAS 2020: 8:1-8:10
2010 – 2019
- 2016
- [c1]Fan Jiang, Carson Kai-Sang Leung, Oluwafemi A. Sarumi, Christine Y. Zhang:
Mining sequential patterns from uncertain big DNA in the spark framework. BIBM 2016: 874-881
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