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Paolo Priore
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2020 – today
- 2022
- [j17]Borja Ena, Alberto Gómez, Borja Ponte, Paolo Priore, Diego Díaz:
Homogeneous grouping of non-prime steel products for online auctions: a case study. Ann. Oper. Res. 315(1): 591-621 (2022) - 2020
- [j16]Pablo Valledor, Alberto Gómez, Paolo Priore, Javier Puente:
Modelling and Solving Rescheduling Problems in Dynamic Permutation Flow Shop Environments. Complex. 2020: 2862186:1-2862186:17 (2020)
2010 – 2019
- 2019
- [j15]Paolo Priore, Borja Ponte, Rafael Rosillo, David de la Fuente:
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) - 2018
- [j14]Paolo Priore, Borja Ponte, Javier Puente, Alberto Gómez:
Learning-based scheduling of flexible manufacturing systems using ensemble methods. Comput. Ind. Eng. 126: 282-291 (2018) - [j13]Pablo Valledor, Alberto Gómez, Paolo Priore, Javier Puente:
Solving multi-objective rescheduling problems in dynamic permutation flow shop environments with disruptions. Int. J. Prod. Res. 56(19): 6363-6377 (2018) - [j12]Nazario García, Javier Puente, Isabel Fernández, Paolo Priore:
Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products. Symmetry 10(1): 22 (2018) - 2014
- [j11]Paolo Priore, Alberto Gómez, Raúl Pino, Rafael Rosillo:
Dynamic scheduling of manufacturing systems using machine learning: An updated review. Artif. Intell. Eng. Des. Anal. Manuf. 28(1): 83-97 (2014) - 2013
- [j10]Nazario García, Javier Puente, Isabel Fernández, Paolo Priore:
Supplier selection model for commodities procurement. Optimised assessment using a fuzzy decision support system. Appl. Soft Comput. 13(4): 1939-1951 (2013) - [c14]Carlos Martínez, Jesús Lozano Mosterín, David de la Fuente, Paolo Priore, Nazario García:
Zoning by k-Means over a Large Data Set. MICAI (Special Sessions) 2013: 65-69 - [c13]Alberto Gómez, Paolo Priore, José López, Nazario García:
Heuristic Analysis Influence on the Solution of the Vehicle Routing Problem by Means of an Iterated Local Search. SMC 2013: 2448-2453 - 2010
- [j9]Paolo Priore, José Parreño, Raúl Pino, Alberto Gómez, Javier Puente:
Learning-Based Scheduling of Flexible Manufacturing Systems Using Support Vector Machines. Appl. Artif. Intell. 24(3): 194-209 (2010) - [c12]Paolo Priore, David de la Fuente, Javier Durán-de-Jesus, Marina Vega, Evelyn Weiss:
Container Loading Optimization System For Solving Logistics Company Problems. IC-AI 2010: 767-773 - [c11]Isabel Fernández, Raúl Pino, Raul Tunon, Paolo Priore, Jesús Lozano Mosterín:
Reduction in the Bullwhip Effect Through Negotiation-Based Multi-agent Systems. IC-AI 2010: 800-807
2000 – 2009
- 2009
- [j8]Javier Puente, Alberto Gómez, Isabel Fernández, Paolo Priore:
Medical doctor rostering problem in a hospital emergency department by means of genetic algorithms. Comput. Ind. Eng. 56(4): 1232-1242 (2009) - [c10]José Parreño, Raúl Pino, David de la Fuente, Paolo Priore, Jesús Lozano Mosterín:
Forecasting Wind Speed to Optimizing Wind Farm Management. IC-AI 2009: 801-805 - 2008
- [j7]Raúl Pino, José Parreño, Alberto Gómez, Paolo Priore:
Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks. Eng. Appl. Artif. Intell. 21(1): 53-62 (2008) - [c9]Alberto Gómez, Rubén Cuevas, David de la Fuente, José Parreño, Paolo Priore:
New Metaheuristic for the Job Shop Scheduling Problem with PSO. IC-AI 2008: 552-553 - [c8]David de la Fuente, Raúl Pino, José Parreño, Paolo Priore:
Demand and Price Forecasting in Hotel Management. IC-AI 2008: 598-601 - 2006
- [j6]Paolo Priore, David de la Fuente, Javier Puente, José Parreño:
A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems. Eng. Appl. Artif. Intell. 19(3): 247-255 (2006) - [c7]Paolo Priore, Isabel Fernández, Nazario García, Jaime Laviada:
Learning-Based Scheduling of Flexible Manufacturing Systems using Neural Networks and Inductive Learning. IC-AI 2006: 774-782 - 2005
- [j5]Alberto Gómez, David de la Fuente, Paolo Priore, Javier Puente:
Heuristic to optimize L-guillotine cutting operations. Artif. Intell. Eng. Des. Anal. Manuf. 19(1): 33-38 (2005) - [c6]Alberto Gómez, José Parreño, David de la Fuente, Paolo Priore:
Solution to the Student Transportation Problem in a Spanish University with Metaheuristic Algorithms. IC-AI 2005: 876-880 - 2004
- [c5]José Parreño, Paolo Priore, Nazario García, José L. Herrero, María Mitre:
Neural-Fuzzy Statistical Process Control (NF-SPC) Application for Manufacturing Quality Management. IC-AI 2004: 36-42 - 2003
- [c4]Isabel Fernández, David de la Fuente, Jesús Lozano Mosterín, Paolo Priore:
Using Metaheuristics to Assign Shifts. IC-AI 2003: 582-586 - 2002
- [j4]Javier Puente, David de la Fuente, Paolo Priore, Raúl Pino:
ABC Classification with Uncertain Data. A Fuzzy Model vs. a Probabilistic Model. Appl. Artif. Intell. 16(6): 443-456 (2002) - [c3]Paolo Priore, David de la Fuente, Javier Puente, José Parreño:
Dynamic Scheduling of Flexible Manufacturing Systems Using Serval Machine Learning Algorithms. IC-AI 2002: 250-256 - 2001
- [j3]Paolo Priore, David de la Fuente, Raúl Pino:
Learning-Based Scheduling of Flexible Manufacturing Systems Using Case-Based Reasoning. Appl. Artif. Intell. 15(10): 949-963 (2001) - [j2]Paolo Priore, David de la Fuente, Alberto Gómez, Javier Puente:
A review of machine learning in dynamic scheduling of flexible manufacturing systems. Artif. Intell. Eng. Des. Anal. Manuf. 15(3): 251-263 (2001) - [j1]Paolo Priore, David de la Fuente, Alberto Gómez, Javier Puente:
Dynamic Scheduling of Manufacturing Systems with Machine Learning. Int. J. Found. Comput. Sci. 12(6): 751-762 (2001) - [c2]Alberto Gómez, David de la Fuente, Raúl Pino, Paolo Priore:
New approaches to the nesting problems resolution. SMC 2001: 3092-3094
1990 – 1999
- 1998
- [c1]Paolo Priore, David de la Fuente García, Isabel Fernández Quesada:
Manufacturing Systems Scheduling through Machine Learning. NC 1998: 914-917
Coauthor Index
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