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

MLA

Zhang, Robert, et al. LCS-DIVE: An Automated Rule-Based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification. 2021. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2104.12844&authtype=sso&custid=ns315887.

APA

Zhang, R., Stolzenberg-Solomon, R., Lynch, S. M., & Urbanowicz, R. J. (2021). LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification.

Chicago

Zhang, Robert, Rachael Stolzenberg-Solomon, Shannon M. Lynch, and Ryan J. Urbanowicz. 2021. “LCS-DIVE: An Automated Rule-Based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2104.12844&authtype=sso&custid=ns315887.