Cita APA (7a ed.)

Doyen, S., Taylor, H., Nicholas, P., Crawford, L., Young, I., & Sughrue, M. E. (2021). Hollow-tree super: A directional and scalable approach for feature importance in boosted tree models. Public Library of Science (PLoS).

Cita Chicago Style (17a ed.)

Doyen, Stephane, Hugh Taylor, Peter Nicholas, Lewis Crawford, Isabella Young, y Michael E. Sughrue. Hollow-tree Super: A Directional and Scalable Approach for Feature Importance in Boosted Tree Models. Public Library of Science (PLoS), 2021.

Cita MLA (8a ed.)

Doyen, Stephane, et al. Hollow-tree Super: A Directional and Scalable Approach for Feature Importance in Boosted Tree Models. Public Library of Science (PLoS), 2021.