2 papers
cs.AI2022
Inferring extended summary causal graphs from observational time series
Charles K. Assaad, Emilie Devijver, Eric Gaussier
This study addresses the problem of learning an extended summary causal graph on time series. The algorithms we propose fit within the well-known constraint-based framework for cau…
cs.LG2018
Uncertain Trees: Dealing with Uncertain Inputs in Regression Trees
Myriam Tami, Marianne Clausel, Emilie Devijver +4
Tree-based ensemble methods, as Random Forests and Gradient Boosted Trees, have been successfully used for regression in many applications and research studies. Furthermore, these…