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Antonio Sutera - Publications ORBI
Sutera, A. (2019). Importance measures derived from random forests: characterisation and extension. Unpublished doctoral thesis, Université de Liège, ​Liège, ​​Belgique.
Nowadays new technologies, and especially artificial intelligence, are more and more established in our society. Big data analysis and machine learning, two sub-fields of artificial intelligence, are at the ...
Marulli, D., Mathieu, S., Sutera, A., & Ernst, D. (2019). Reconstruction of low-voltage networks with limited observability. Eprint/Working paper retrieved from http://orbi.ulg.ac.be/handle/2268/238913.
This work addresses the problem of reconstructing an electrical model for low voltage networks when no information about topology and line parameters is available. Obtaining an accurate electrical model for ...
Wehenkel, M., Sutera, A., Bastin, C., Geurts, P.* , & Phillips, C.* . (2018). Random Forests based group importance scores and their statistical interpretation: application for Alzheimer’s disease. Frontiers in Neuroscience, 12, 411.
Peer reviewed (verified by ORBi)
Machine learning approaches have been increasingly used in the neuroimaging field for the design of computer-aided diagnosis systems. In this paper, we focus on the ability of these methods to provide ...
* These authors have contributed equally to this work.
Olivier, F., Sutera, A., Geurts, P., Fonteneau, R., & Ernst, D. (2018). Phase Identification of Smart Meters by Clustering Voltage Measurements. Proceedings of the XX Power Systems Computation Conference (PSCC 2018).
Peer reviewed
When a smart meter, be it single-phase or threephase, is connected to a three-phase network, the phase(s) to which it is connected is (are) initially not known. This means that each of its measurements is not ...
Sutera, A., Joly, A., François-Lavet, V., Qiu, Z., Ernst, D., & Geurts, P. (2017). Simple connectome inference from partial correlation statistics in calcium imaging. In J., Soriano, D., Battaglia, I., Guyon, V., Lemaire, J., Orlandi, & B., Ray (Eds.), Neural Connectomics Challenge (pp. 23-36). Springer.
Peer reviewed
In this work, we propose a simple yet effective solution to the problem of connectome inference in calcium imaging data. The proposed algorithm consists of two steps. First, processing the raw signals to ...
Taralla, D., Qiu, Z., Sutera, A., Fonteneau, R., & Ernst, D. (2016). Decision Making from Confidence Measurement on the Reward Growth using Supervised Learning: A Study Intended for Large-Scale Video Games. Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016) - Volume 2 (pp. 264-271).
Peer reviewed
Video games have become more and more complex over the past decades. Today, players wander in visually and option- rich environments, and each choice they make, at any given time, can have a combinatorial ...
Sutera, A., Joly, A., François-Lavet, V., Qiu, Z., Louppe, G., Ernst, D., & Geurts, P. (2014). Simple connectome inference from partial correlation statistics in calcium imaging. In J., Soriano, D., Battaglia, I., Guyon, V., Lemaire, J., Orlandi, & B., Ray (Eds.), Neural Connectomics Challenge. Springer.
Peer reviewed
In this work, we propose a simple yet effective solution to the problem of connectome inference in calcium imaging data. The proposed algorithm consists of two steps. First, processing the raw signals to ...
Louppe, G., Wehenkel, L., Sutera, A., & Geurts, P. (2013). Understanding variable importances in forests of randomized trees. Advances in Neural Information Processing Systems 26.
Peer reviewed
Despite growing interest and practical use in various scientific areas, variable importances derived from tree-based ensemble methods are not well understood from a theoretical point of view. In this work we ...
Sutera, A. (2013). Characterization of variable importance measures derived from decision trees. Unpublished master thesis, Université de Liège, ​Liège, ​​Belgique.
In the context of machine learning, tree-based ensemble methods are common techniques used for prediction and explanation purposes in many research fields such as genetics for instance. These methods consist ...