| PROFESOR: | CASAS MÉNDEZ, BALBINA VIRGINIA |
Datos personales
| Departamento: | Estadística, Análisis Matemático y Optimización |
| Universidad: | Universidad de Santiago de Compostela |
| Campus: | Vida |
| Correo electrónico: | Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo. |
| Categoría: | Titular de Universidad |
| Dedicación: | Tiempo completo |
| Web Personal: | https://investigacion.usc.gal/investigadores/58593/detalle |
| ORCID: | orcid logo https://orcid.org/0000-0002-2826-218X |
Localización
| Facultad de: | Matemáticas |
| Teléfono: | (+34)981563100 |
Docencia
| Asignaturas en el curso 2020/2021: |
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Últimos artículos publicados
1) Davila-Pena, L., Saavedra Nieves, A., Casas-Méndez, B. V. (2025). On the influence of dependent features in classification problems: a game-theoretic perspective Expert Systems with Applications. 280. pp. 127446. Elsevier 
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2) Gómez-Rodríguez, M, Davila-Pena, L., Casas-Méndez, B. V. (2024). Cost allocation problems on highways with groups European Journal of Operational Research. 316. pp. 667-679. Elsevier
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3) Davila-Pena, L., R Penas, David, Casas-Méndez, B. V. (2023). A new two-phase heuristic for a problem of food distribution with compartmentalized trucks and trailers International Transactions in Operational Research. DOI: 10.1111/itor.13071. 30. pp. 1031-1064. Wiley
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4) Alonso-Meijide, J. M., Armijos Toro, L.M., Casas-Méndez, B. V., Mosquera, M. A. (2023). An application of power indices for the family of weighted majority games in partition function form. Power and Responsibility-Interdisciplinary Perspectives for the 21st Century in Honor of Manfred J. Holler. M. A. Leroch & F. Rupp (eds.). Chapter 8. Springer
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5) Saavedra Nieves, A., Casas-Méndez, B. V. (2023). On the centrality analysis of covert networks using games with externalities European Journal of Operational Research (online). pp. 1-29. Elsevier
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6) 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 European Journal of Operational Research. 299. pp. 631-641. Elsevier
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