98 citations · 333 across the 35 of their papers we have counts for
3 papers · 2 filters
Connecting pairwise spheres by depth: DCOPS
Ricardo Fraiman, Fabrice Gamboa, Leonardo Moreno
We extend the classical notion of the spherical depth in \mathbb{R}^k, to the important setup of data on a Riemannian manifold. We show that this notion of depth satisfies a set of…
Semi-supervised learning
Alejandro Cholaquidis, Ricardo Fraiman, Mariela Sued
Semi-supervised learning deals with the problem of how, if possible, to take advantage of a huge amount of not classified data, to perform classification, in situations when, typic…
Robust Fusion Methods for Big Data
Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman +1
We address one of the important problems in Big Data, namely how to combine estimators from different subsamples by robust fusion procedures, when we are unable to deal with the wh…