18 citations · 46 across the 4 of their papers we have counts for
4 papers
Reconstructing dynamical networks via feature ranking
Marc G. Leguia, Zoran Levnajic, Ljupco Todorovski +1
Empirical data on real complex systems are becoming increasingly available. Parallel to this is the need for new methods of reconstructing (inferring) the topology of networks from…
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…
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…
Decoupling approximation robustly reconstructs directed dynamical networks
Nikola Simidjievski, Jovan Tanevski, Bernard Zenko +3
Methods for reconstructing the topology of complex networks from time-resolved observations of node dynamics are gaining relevance across scientific disciplines. Of biggest practic…