156 citations · 257 across the 30 of their papers we have counts for
4 papers · 1 filter
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments
Jiayi Lian, Laura Freeman, Yili Hong +1
Artificial intelligent (AI) algorithms, such as deep learning and XGboost, are used in numerous applications including computer vision, autonomous driving, and medical diagnostics.…
Bayesian Auxiliary Variable Model for Birth Records Data with Qualitative and Quantitative Responses
Xiaoning Kang, Shyam Ranganathan, Lulu Kang +2
Many applications involve data with qualitative and quantitative responses. When there is an association between the two responses, a joint model will provide improved results than…
A Maximin -Efficient Design for Multivariate GLM
Yiou Li, Lulu Kang, Xinwei Deng
Experimental designs for a generalized linear model (GLM) often depend on the specification of the model, including the link function, the predictors, and unknown parameters, such…
Multivariate Regression of Mixed Responses for Evaluation of Visualization Designs
Xiaoning Kang, Xiaoyu Chen, Ran Jin +2
Information visualization significantly enhances human perception by graphically representing complex data sets. The variety of visualization designs makes it challenging to effici…