67 citations · 142 across the 31 of their papers we have counts for
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cs.LG2018
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft
Matej Petković, Redouane Boumghar, Martin Breskvar +7
The thermal subsystem of the Mars Express (MEX) spacecraft keeps the on-board equipment within its pre-defined operating temperatures range. To plan and optimize the scientific ope…
cs.LG2018
MetaBags: Bagged Meta-Decision Trees for Regression
Jihed Khiari, Luis Moreira-Matias, Ammar Shaker +2
Ensembles are popular methods for solving practical supervised learning problems. They reduce the risk of having underperforming models in production-grade software. Although criti…