4 papers
The use of cross validation in the analysis of designed experiments
Maria L. Weese, Byran J. Smucker, David J. Edwards
Cross-validation (CV) is a common method to tune machine learning methods and can be used for model selection in regression as well. Because of the structured nature of small, trad…
An Optimal Design Framework for Lasso Sign Recovery
Jonathan W. Stallrich, Kade Young, Maria L. Weese +2
Supersaturated designs investigate more factors than there are runs, and are often constructed under a criterion measuring a design's proximity to an unattainable orthogonal design…
Large Row-Constrained Supersaturated Designs for High-throughput Screening
Byran J. Smucker, Stephen E. Wright, Isaac Williams +5
High-throughput screening, in which multiwell plates are used to test large numbers of compounds against specific targets, is widely used across many areas of the biological scienc…
Boundary Peeling: Outlier Detection Method Using One-Class Peeling
Sheikh Arafat, Na Sun, Maria L. Weese +1
Unsupervised outlier detection constitutes a crucial phase within data analysis and remains a dynamic realm of research. A good outlier detection algorithm should be computationall…