382 citations · 440 across the 5 of their papers we have counts for
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physics.chem-ph2020
Improving Sample and Feature Selection with Principal Covariates Regression
Rose K. Cersonsky, Benjamin A. Helfrecht, Edgar A. Engel +1
Selecting the most relevant features and samples out of a large set of candidates is a task that occurs very often in the context of automated data analysis, where it can be used t…
stat.ML2020
Structure-Property Maps with Kernel Principal Covariates Regression
Benjamin A. Helfrecht, Rose K. Cersonsky, Guillaume Fraux +1
Data analyses based on linear methods constitute the simplest, most robust, and transparent approaches to the automatic processing of large amounts of data for building supervised…