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Rafael Rosillo
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2020 – today
- 2024
- [j14]Segundo Álvarez García, Nicolás Álvarez-Gil, Rafael Rosillo
, David de la Fuente:
An effective graph-analysis method to schedule a continuous galvanizing line with campaigning boundary constraints. Comput. Ind. Eng. 192: 110206 (2024) - 2023
- [j13]Simon Fernandez-Vazquez
A comparative study of blockchain's largest permissionless networks. Technol. Anal. Strateg. Manag. 35(4): 409-423 (2023) - 2022
- [j12]Simon Fernandez-Vazquez
Blockchain in sustainable supply chain management: an application of the analytical hierarchical process (AHP) methodology. Bus. Process. Manag. J. 28(5/6): 1277-1300 (2022) - [j11]Nicolás Álvarez-Gil, Segundo Álvarez García, Rafael Rosillo, David de la Fuente:
Sequencing jobs with asymmetric costs and transition constraints in a finishing line: A real case study. Comput. Ind. Eng. 165: 107908 (2022) - 2021
- [j10]Georgios Sermpinis
Neural networks in financial trading. Ann. Oper. Res. 297(1): 293-308 (2021) - [j9]Nicolás Álvarez-Gil
A discrete firefly algorithm for solving the flexible job-shop scheduling problem in a make-to-order manufacturing system. Central Eur. J. Oper. Res. 29(4): 1353-1374 (2021)
2010 – 2019
- 2019
- [j8]Paolo Priore, Borja Ponte
Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments. Int. J. Prod. Res. 57(11): 3663-3677 (2019) - 2017
- [j7]Georgios Sermpinis
European Exchange Trading Funds Trading with Locally Weighted Support Vector Regression. Eur. J. Oper. Res. 258(1): 372-384 (2017) - 2015
- [j6]Borja Ponte
Real-time water demand forecasting system through an agent-based architecture. Int. J. Bio Inspired Comput. 7(3): 147-156 (2015) - [j5]Álvaro Fernández-González, Rafael Rosillo, José Ángel Miguel-Dávila
Historical review and future challenges in Supercomputing and Networks of Scientific Communication. J. Supercomput. 71(12): 4476-4503 (2015) - 2014
- [j4]Paolo Priore, Alberto Gómez
Dynamic scheduling of manufacturing systems using machine learning: An updated review. Artif. Intell. Eng. Des. Anal. Manuf. 28(1): 83-97 (2014) - [j3]Rafael Rosillo, Javier Giner
The effectiveness of the combined use of VIX and Support Vector Machines on the prediction of S&P 500. Neural Comput. Appl. 25(2): 321-332 (2014) - 2013
- [j2]Christian L. Dunis, Rafael Rosillo, David de la Fuente
Forecasting IBEX-35 moves using support vector machines. Neural Comput. Appl. 23(1): 229-236 (2013) - [j1]Borja Ponte, David de la Fuente, Raúl Pino, Rafael Rosillo, Isabel Fernández:
Supply Chain Management by Means of Simulation. Polibits 48: 55-60 (2013)
Coauthor Index
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