Presentations and Authors


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General Papers

Reading China: Predicting Policy Change with Machine Learning
Julian TszKin Chan, Weifeng Zhong
Predicting Authoritarian Crackdowns: A Machine Learning Approach
Julian TszKin Chan, Weifeng Zhong
A Novel Method for scRNA-seq Data Precise Simulation
Guoshuai Cai, Fei Qin, Feifei Xiao
Estimation of contextual effect and the impact of ICC in multilevel modeling: Does it matter for estimation methods?
Hawjeng Chiou
Evaluation of the Unsupervised Latent Dirichlet Allocation Model though Simulation
Chang Che, Kenneth Tyler Wilcox, Zhiyong Zhang
TUBE: Embedding Behavior Outcomes for Predicting Success
Daheng Wang, Tianwen Jiang, Nitesh Chawla, Meng Jiang
A comparative study on predictability of component-based approaches to structural equation modeling
Gyeongcheol Cho, Heungsun Hwang

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