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![]() ![]() | Schumacher, P., & Sutera, A. (2022). Analyse comparative de post-édition et de traduction humaine en contexte académique. In C. Expósito Castro, M. D. M. Ogea Pozo, ... F. Rodríguez Rodríguez, Theory and practice of translation as a vehicle for knowledge transfer (pp. 173-208). Séville, Spain: Editorial Universidad de Sevilla. ![]() |
![]() ![]() | Dumas, J., Wehenkel, A., Lanaspeze, D., Cornélusse, B., & Sutera, A. (01 January 2022). A deep generative model for probabilistic energy forecasting in power systems: normalizing flows. Applied Energy, 305, 117-871. doi:10.1016/j.apenergy.2021.117871 ![]() |
![]() ![]() | Sutera, A., Louppe, G., Huynh-Thu, V. A., Wehenkel, L., & Geurts, P. (2021). From global to local MDI variable importances for random forests and when they are Shapley values. Advances in Neural Information Processing Systems. ![]() |
![]() ![]() | Marulli, D., Mathieu, S., Benzerga, A., Sutera, A., & Ernst, D. (2021). Reconstruction of low-voltage networks with limited observability. In IEEE PES Innovative Smart Grid Technologies Conference Europe. doi:10.1109/ISGTEurope52324.2021.9640163 ![]() |
![]() ![]() | Dumas, J., Cointe, C., Wehenkel, A., Sutera, A., Fettweis, X., & Cornélusse, B. (2021). A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market. IEEE Transactions on Sustainable Energy. doi:10.1109/TSTE.2021.3117594 ![]() |
![]() ![]() | Benzerga, A., Maruli, D., Sutera, A., Bahmanyar, A., Mathieu, S., & Ernst, D. (2021). Low-voltage network topology and impedance identification using smart meter measurements. In Proceedings of the 2021 IEEE Madrid PowerTech. doi:10.1109/PowerTech46648.2021.9495093 ![]() |
![]() ![]() | Vecoven, N., Begon, J.-M., Sutera, A., Geurts, P., & Huynh-Thu, V. A. (2020). Nets versus trees for feature ranking and gene network inference. In Proceeding of the 23rd International Conference on Discovery Science (DS 2020). Springer. doi:10.1007/978-3-030-61527-7_16 ![]() |
![]() ![]() | Duchesne, L., Karangelos, E., Sutera, A., & Wehenkel, L. (2020). Machine Learning for Ranking Day-ahead Decisions in the Context of Short-term Operation Planning. Electric Power Systems Research. doi:10.1016/j.epsr.2020.106548 ![]() |
![]() ![]() | Sutera, A. (2019). Importance measures derived from random forests: characterisation and extension [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/236868 |
![]() ![]() | Sutera, A. (2019). Lecture on "Variable selection using random forests" (R. Genuer et al., 2010). (ULiège - Université de Liège, INFO8004 - Advanced Machine Learning). |
![]() ![]() | Wehenkel, M., Sutera, A., Bastin, C., Geurts, P.* , & Phillips, C.*. (29 June 2018). Random Forests based group importance scores and their statistical interpretation: application for Alzheimer’s disease. Frontiers in Neuroscience, 12, 411. doi:10.3389/fnins.2018.00411 ![]() * 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. In Proceedings of the XX Power Systems Computation Conference (PSCC 2018). doi:10.23919/PSCC.2018.8442853 ![]() |
![]() ![]() | Sutera, A., Châtel, C., Louppe, G., Wehenkel, L., & Geurts, P. (2018). Random Subspace with Trees for Feature Selection Under Memory Constraints. In A. Storkey & F. Perez-Cruz (Eds.), Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (pp. 929-937). Playa Blanca, Spain: PMLR. ![]() |
![]() ![]() | 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. doi:10.1007/978-3-319-53070-3 ![]() |
![]() ![]() | Sutera, A., Châtel, C., Louppe, G., Wehenkel, L., & Geurts, P. (12 September 2016). Random subspace with trees for feature selection under memory constraints [Poster presentation]. The 25th Belgian-Dutch Conference on Machine Learning (Benelearn), Kortrijk, Belgium. ![]() |
![]() ![]() | Sutera, A. (24 August 2016). Random forests variable importances Towards a better understanding and large-scale feature selection [Paper presentation]. 22nd International Conference on Computational Statistics (COMPSTAT 2016), Oviedo, Spain. |
![]() ![]() | Sutera, A., Louppe, G., Huynh-Thu, V. A., Wehenkel, L., & Geurts, P. (2016). Context-dependent feature analysis with random forests. In Uncertainty In Artificial Intelligence: Proceedings of the Thirty-Two Conference (2016). ![]() |
![]() ![]() | 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. In Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016) - Volume 2 (pp. 264-271). doi:10.5220/0005666202640271 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | Louppe, G., Wehenkel, L., Sutera, A., & Geurts, P. (2013). Understanding variable importances in forests of randomized trees. In Advances in Neural Information Processing Systems 26. ![]() |
![]() ![]() | Sutera, A. (2013). Characterization of variable importance measures derived from decision trees [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/157155 |