Publicaciones derivadas de las tesis


Se han encontrado 1167 registros.

61) 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. In: Informs Journal on ComputingVol. 35. pp. 1024-1043. INFORMS. ISSN: 1091-9856 Google Scholar

62) Juan Carlos Gonçalves, Alonso-Meijide, J. M. (2023). New results on egalitarian values for games with a priori unions. In: OptimizationVol. 72:3. pp. 861-881. Taylor . ISSN: 0233-1934 Google Scholar

63) Fernández-Pombo, A., Sánchez-Iglesias, S., Castro-Pais, A.I., Ginzo-Villamayor, M.J., Cobelo-Gómez, s., Prado-Moraña, P., Díaz-López, E.J., Casanueva-Freijo, F., Loidi, L., Araújo-Vilar, D. (2023). Natural history and comorbidities of generalised and partial lipodystrophy syndromes in Spain. In: Frontiers in EndocrinologyVol. 14. pp. 1-16. Google Scholar

64) Alonso-Pena, M., Bolon, D., Ameijeiras-Alonso, J., Saavedra Nieves, A., Saavedra-Nieves, P. (2023). Manual de R para prácticas de BioestadísticaVol. ISBN: 9788419679536. Universidade de Santiago de Compostela. Google Scholar

65) Bianco, A., Boente, G., González-Manteiga, W. (2022). "Robust consistent estimators for ROC curves with covariates". In: Electronic Journal of Statistics. Vol. 16. pp. 4133-4161. Institute of Mathematical Statistics. ISSN: 1935-752 Google Scholar

66) Ameijeiras-Alonso, J., Ley, C. (2022). Sine-skewed toroidal distributions and their application in protein bioinformatics. In: BiostatisticsVol. 23 (3). pp. 685–704. Oxford Academic. ISSN: 1465-4644 Google Scholar

67) Ameijeiras-Alonso, J., Crujeiras, R.M. (2022). Flexible circular modeling: a case study of car accidents. In: Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingalepp. 93-116. Springer. ISSN: 978981191 Google Scholar

68) de Uña Álvarez, Jacobo, Moreira, C., Crujeiras, R.M. (2022). The Statistical Analysis of Doubly Truncated Data: With Applications in RHoboken, NJ: Wiley. Google Scholar

69) Davila-Pena, L., García-Jurado, I., Casas-Méndez, B. V. (2022). Assessment of the influence of features on a classification problem: an application to COVID-19 patients. In: European Journal of Operational ResearchVol. 299. pp. 631-641. Elsevier. ISSN: ISSN: 037 Google Scholar

70) Saavedra-Nieves, P.(2022). "Nonparametric estimation of highest density regions for COVID-19". In: Journal of Nonparametric Statistics. Vol. 34(3). pp. 663-682. Taylor & Francis. Google Scholar