Comparing support vector regression and random forests for predicting malaria incidence in Mozambique

15 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Auditing black-box models for indirect influence (2016, background): “[8], a number of other works have looked at black-box auditing, primarily for direct influence [9], [27], [25], [24].”
Auditing Black-box Models by Obscuring Features (2016, result): “ addition to early work by Breiman [4] and the recent works by Henelius et al. [13] and Datta et al. [8], a number of other works have looked at black-box auditing, primarily for direct inﬂuence [9], [27], [25], [24]. There are potential connections to privacy-preserving data mining [1]: however, th”