Antonio Sutera
TitleCited byYear
Understanding variable importances in forests of randomized trees
G Louppe, L Wehenkel, A Sutera, P Geurts
Advances in neural information processing systems, 431-439, 2013
Phase identification of smart meters by clustering voltage measurements
F Olivier, A Sutera, P Geurts, R Fonteneau, D Ernst
2018 Power Systems Computation Conference (PSCC), 1-8, 2018
Simple connectome inference from partial correlation statistics in calcium imaging
A Sutera, A Joly, V François-Lavet, A Qiu, G Louppe, D Ernst, P Geurts
Neural Connectomics Workshop, 23-35, 2015
Decision making from confidence measurement on the reward growth using supervised learning: A study intended for large-scale video games
D Taralla, Z Qiu, A Sutera, R Fonteneau, D Ernst
Proceedings of the 8th International Conference on Agents and Artificial …, 2016
Characterization of variable importance measures derived from decision trees
A Sutera
University of Liège, 2013
Random forests based group importance scores and their statistical interpretation: Application for Alzheimer's disease
M Wehenkel, A Sutera, C Bastin, P Geurts, C Phillips
Frontiers in neuroscience 12, 411, 2018
Context-dependent feature analysis with random forests
A Sutera, G Louppe, VA Huynh-Thu, L Wehenkel, P Geurts
Uncertainty In Artificial Intelligence: Proceedings of the Thirty-Second …, 2016
Random subspace with trees for feature selection under memory constraints
A Sutera, C Châtel, G Louppe, L Wehenkel, P Geurts
The 21st International Conference on Artificial Intelligence and Statistics …, 2018
Importance measures derived from random forests: characterisation and extension
A Sutera
Université de Liège, Liège, Belgique, 2019
Reconstruction of low-voltage networks with limited observability
D Marulli, S Mathieu, A Sutera, D Ernst
Random forests variable importances Towards a better understanding and large-scale feature selection
A Sutera
COMPSTAT 2016, 2016
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Articles 1–11