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Author Title Year Publication Volume Pages
Guevara, E.; Babonneau, F.; Homem-de-Mello, T.; Moret, S. A machine learning and distributionally robust optimization framework for strategic energy planning under uncertainty 2020 Applied Energy 271 18 pp
Arevalo-Ramirez, T.; Villacres, J.; Fuentes, A.; Reszka, P.; Cheein, F.A.A. Moisture content estimation of Pinus radiata and Eucalyptus globulus from reconstructed leaf reflectance in the SWIR region 2020 Biosystems Engineering 193 187-205
Hughes, S.; Moreno, S.; Yushimito, W.F.; Huerta-Canepa, G. Evaluation of machine learning methodologies to predict stop delivery times from GPS data 2019 Transportation Research Part C-Emerging Technologies 109 289-304
Alejo, L.; Atkinson, J.; Guzman-Fierro, V.; Roeckel, M. Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques 2018 Environmental Science And Pollution Research 25 21149-21163
Pham, D.T.; Ruz, G.A. Unsupervised training of Bayesian networks for data clustering 2009 Proceedings Of The Royal Society A-Mathematical Physical And Engineering Sciences 465 2927-2948