Research

Publications

• Boosting Diversity in Regression Ensembles, M. Bourel, J. Cugliari, JM Poggi, Y Goude, Statistical Analysis and Data Mining, 2023 https://doi.org/10.1002/sam.11654

• Facing spatial massive data in science and society: variable selection for spatial models, R. Gonella, M. Bourel, L. Bel, Spatial Statistics, 2022

• Machine learning methods for imbalanced data set for prediction of faecal contamination in beach waters, M. Bourel, A. Segura, C. Crisci, G. López, L. Sampognaro, V. Vidal, C. Kruk, C. Piccini, G. Perera. Water Research, Vol 202, 1, Article 117450, 2021.

• Monitoreo de calidad de agua y predicción de coliformes fecales en playas de Montevideo mediante Inteligencia Artificial, M. Bourel, C. Crisci, C. Kruck, C. Piccini, A. Segura, INNOTEC, Vol 22, e555, 2021.

• Benefit segmentation of a summer destination in Uruguay: a clustering and classification approach, M. Bourel, G. Perera, M. Sprechmann, Journal of Tourism Analysis, Vol 27, No2, pp. 185-206, 2020

• Bagging Density Estimators, M. Bourel, J. Cugliari. Computational Statistics, Vol. 34, p 1849-1869, 2019

• Multiclass classification methods in Ecology. M. Bourel, A. Segura, Ecological Indicators, Vol. 85, p. 1012-1021, 2018.

• Direct Multiclass boosting using base classifiers' posterior probabilities estimates, M. Bourel, B. Ghattas. Proceedings of 16th IEEE International Conference on Machine Learning and Applications (ICMLA), p. 228-233, 2017 .

• Consensus methods based on machine learning techniques for marine phytoplankton presence-absence prediction, M. Bourel, C. Crisci, A. Martínez, Ecological Informatics, Vol. 42, p. 46 - 54, 2017

• Random average shifted histograms, M. Bourel, R. Fraiman, B. Ghattas, Computational Statistics and Data Analysis, Vol. 79, p. 149-164, 2014.

• Aggregating density estimators: an empirical study, M. Bourel, B. Ghattas, Open Journal of Statistics, Vol. 3 (5), p. 344-355, 2013.

• Comparison of optimal bandwidths for some density estimators, M. Bourel, Memoria Investigaciones en Ingeniería, Vol. 11, p. 59-74, 2013.

• Model aggregation methods and applications, M. Bourel, Memorias de trabajos de difusión científica y técnica, Vol. 10, p. 19-32, 2012.

• Self-dual projective toric varieties, M. Bourel, A. Dickenstein, A. Rittatore, Journal of the London Mathematical Society, Vol. 84 (2), p. 514-540, 2011.

Preprint and working papers

• A hypothesis test for comparing partitions, M. Bourel, B. Ghattas, M.González, Preprint, Submitted 2023

• Transfer Learning in the Generalized Linear Model, M. Bourel, J. Cugliari and B. Ghattas, 2024

• A kernelized root-unroot procedure for density estimation, M. Bourel and J. Cugliari, 2024

• A hypothesis test for Non Homogeneous Poisson Process, M Bourel, B. Ghattas and G. Perera, 2024