most citedLCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

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…