research
∙
11/03/2021
From global to local MDI variable importances for random forests and when they are Shapley values
Random forests have been widely used for their ability to provide so-cal...
share
research
∙
06/17/2021
Importance measures derived from random forests: characterisation and extension
Nowadays new technologies, and especially artificial intelligence, are m...
research
∙
06/17/2021
Deep generative modeling for probabilistic forecasting in power systems
Greater direct electrification of end-use sectors with a higher share of...
research
∙
05/28/2021
A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market
The core contribution is to propose a probabilistic forecast-driven stra...
research
∙
09/04/2017
Random Subspace with Trees for Feature Selection Under Memory Constraints
Dealing with datasets of very high dimension is a major challenge in mac...
research
∙
05/12/2016
Context-dependent feature analysis with random forests
In many cases, feature selection is often more complicated than identify...
research
∙
06/30/2014
