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Últimos artículos publicados
1) , Gómez-Casares, Ignacio, González-Díaz, J., González-Rodríguez, B., Pateiro-López, B., Rodríguez Ballesteros, S. (2023 To appear). "Learning for Spatial Branching: An Algorithm Selection Approach". Informs Journal on Computing. INFORMS 
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2) Arias Castro, E., Pateiro-López, B., Rodríguez-Casal, A. (2019). Minimax Estimation of the Volume of a Set under the Rolling Ball Condition Journal of the American Statistical Association-Theory and Methods. 114. pp. 1162-1173. Amer Statistical Assoc
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3) Pichel, Juan C., Pateiro-López, B. (2019). Sparse Matrix Classification on Imbalanced Datasets using Convolutional Neural Networks IEEE Access. 7. pp. 82377-82389. IEEE
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4) Cuevas, A., Pateiro-López, B. (2018). "Polynomial volume estimation and its applications". Journal of Statistical Planning and Inference. 196. pp. 174-184. Elsevier Science Bv
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5) Pichel, Juan C., Pateiro-López, B. (2018). "A New Approach for Sparse Matrix Classification Based on Deep Learning Techniques". IEEE International Conference on Cluster Computing. pp. 46-54
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6) Berrendero, J.R., Cuevas, A., Pateiro-López, B. (2016). "Shape classification based on interpoint distance distributions". Journal of Multivariate Analysis. 146. pp. 237-247. Elsevier Inc
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