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Asignaturas en el curso

Últimos artículos publicados

1) Cholaquidis, A., Fraiman, R., Moreno, L., Pateiro-López, B. (To appear). Statistical analysis of measures of non-convexity TEST Google Scholar
2) Ghaddar, B., Gómez-Casares, Ignacio, González-Díaz, J., González-Rodríguez, B., Pateiro-López, B., Rodríguez Ballesteros, S. (2023). Learning for Spatial Branching: An Algorithm Selection Approach Informs Journal on Computing. 35. pp. 1024-1043. INFORMS Google Scholar
3) 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 Google Scholar
4) Pichel, Juan C., Pateiro-López, B. (2019). Sparse Matrix Classification on Imbalanced Datasets using Convolutional Neural Networks IEEE Access. 7. pp. 82377-82389. IEEE Google Scholar
5) 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 Google Scholar
6) 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 Google Scholar