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Antonio Sutera
Antonio Sutera
Haulogy
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Title
Cited by
Cited by
Year
Understanding variable importances in forests of randomized trees
G Louppe, L Wehenkel, A Sutera, P Geurts
Advances in neural information processing systems 26, 2013
4123*2013
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
J Dumas, A Wehenkel, D Lanaspeze, B Cornélusse, A Sutera
Applied Energy 305, 117871, 2022
872022
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
722018
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
28*2015
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
252018
A probabilistic forecast-driven strategy for a risk-aware participation in the capacity firming market
J Dumas, C Cointe, A Wehenkel, A Sutera, X Fettweis, B Cornélusse
IEEE Transactions on Sustainable Energy 13 (2), 1234-1243, 2021
192021
From global to local MDI variable importances for random forests and when they are Shapley values
A Sutera, G Louppe, VA Huynh-Thu, L Wehenkel, P Geurts
Advances in Neural Information Processing Systems (NeurIPS 2021), 2021
182021
Machine learning for ranking day-ahead decisions in the context of short-term operation planning
L Duchesne, E Karangelos, A Sutera, L Wehenkel
Electric Power Systems Research 189, 106548, 2020
152020
Low-voltage network topology and impedance identification using smart meter measurements
A Benzerga, D Maruli, A Sutera, A Bahmanyar, S Mathieu, D Ernst
2021 IEEE Madrid PowerTech, 1-6, 2021
142021
Matching of everyday power supply and demand with dynamic pricing: Problem formalisation and conceptual analysis
T Théate, A Sutera, D Ernst
Energy Reports 9, 2453-2462, 2023
92023
Advancing artificial intelligence in sensors, signals, and imaging informatics
W Hsu, C Baumgartner, T Deserno
Yearbook of medical informatics 28 (01), 115-117, 2019
82019
Importance measures derived from random forests: characterisation and extension
A Sutera
Université de Liège, Liège, Belgique, 2019
82019
Reconstruction of low-voltage networks with limited observability
D Marulli, S Mathieu, A Benzerga, A Sutera, D Ernst
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 1-5, 2021
72021
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
72016
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
8th International Conference on Agents and Artificial Intelligence, 2016
72016
Characterization of variable importance measures derived from decision trees
A Sutera
University of Liège, 2013
52013
Exploiting the flexibility potential of water distribution networks: A pilot project in belgium
I Boukas, E Burtin, A Sutera, Q Gemine, B Pevee, D Ernst
IEEE Transactions on Smart Grid 15 (1), 394-404, 2023
32023
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
32018
Analyse comparative de post-édition et de traduction humaine en contexte académique
P Schumacher, A Sutera
978-84-472-3041-9, 2022
22022
Nets versus trees for feature ranking and gene network inference
N Vecoven, JM Begon, A Sutera, P Geurts, VA Huynh-Thu
International Conference on Discovery Science, 231-245, 2020
22020
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