5 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison
Ryan J. Urbanowicz, Robert Zhang, Yuhan Cui +1
Machine learning (ML) offers powerful methods for detecting and modeling associations often in data with large feature spaces and complex associations. Many useful tools/packages (…
cs.LG2021★ 5 cited
LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification
Robert Zhang, Rachael Stolzenberg-Solomon, Shannon M. Lynch +1
Machine learning (ML) research has yielded powerful tools for training accurate prediction models despite complex multivariate associations (e.g. interactions and heterogeneity). I…