A decision support system for applying failure mode and effects analysis J Puente, R Pino, P Priore, D de la Fuente International Journal of Quality & Reliability Management 19 (2), 137-150, 2002 | 309 | 2002 |
Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks R Pino, J Parreno, A Gomez, P Priore Engineering Applications of Artificial Intelligence 21 (1), 53-62, 2008 | 180 | 2008 |
A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems P Priore, D de la Fuente, J Puente, J Parreño Engineering Applications of Artificial Intelligence 19 (3), 247-255, 2006 | 145 | 2006 |
Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments P Priore, B Ponte, R Rosillo, D de la Fuente International Journal of Production Research 57 (11), 3663-3677, 2019 | 143 | 2019 |
A review of machine learning in dynamic scheduling of flexible manufacturing systems P Priore, D De La Fuente, A Gomez, J Puente Ai Edam 15 (3), 251-263, 2001 | 135 | 2001 |
Medical doctor rostering problem in a hospital emergency department by means of genetic algorithms J Puente, A Gomez, I Fernández, P Priore Computers & Industrial Engineering 56 (4), 1232-1242, 2009 | 107 | 2009 |
Dynamic scheduling of manufacturing systems using machine learning: An updated review P Priore, A Gómez, R Pino, R Rosillo Ai Edam 28 (1), 83-97, 2014 | 100 | 2014 |
Learning-based scheduling of flexible manufacturing systems using ensemble methods P Priore, B Ponte, J Puente, A Gómez Computers & Industrial Engineering 126, 282-291, 2018 | 84 | 2018 |
Blockchain in FinTech: A mapping study S Fernandez-Vazquez, R Rosillo, D De La Fuente, P Priore Sustainability 11 (22), 6366, 2019 | 80 | 2019 |
Solving multi-objective rescheduling problems in dynamic permutation flow shop environments with disruptions P Valledor, A Gomez, P Priore, J Puente International Journal of Production Research 56 (19), 6363-6377, 2018 | 58 | 2018 |
Supplier selection model for commodities procurement. Optimised assessment using a fuzzy decision support system N García, J Puente, I Fernández, P Priore Applied Soft Computing 13 (4), 1939-1951, 2013 | 52 | 2013 |
Abc classification with uncertain data. A fuzzy model vs. a probabilistic model J Puente, D Fuente, P Priore, R Pino Applied Artificial Intelligence 16 (6), 443-456, 2002 | 42 | 2002 |
RFID en la gestión y mantenimiento de bibliotecas A Gómez-Gómez, B Ena-Rodríguez, P Priore Profesional de la información/Information Professional 16 (4), 319-328, 2007 | 28 | 2007 |
Learning-based scheduling of flexible manufacturing systems using support vector machines P Priore, J Parreño, R Pino, A Gómez, J Puente Applied Artificial Intelligence 24 (3), 194-209, 2010 | 22 | 2010 |
Dynamic scheduling of flexible manufacturing systems using neural networks and inductive learning P Priore, D de la Fuente, R Pino, J Puente Integrated Manufacturing Systems 14 (2), 160-168, 2003 | 22 | 2003 |
Integrating sustainability in the quality assessment of EHEA institutions: a hybrid FDEMATEL-ANP-FIS model J Puente, I Fernandez, A Gomez, P Priore Sustainability 12 (5), 1707, 2020 | 18 | 2020 |
Supply chain modelling using a multi‐agent system R Pino, I Fernández, D de la Fuente, J Parreño, P Priore Journal of Advances in Management Research 7 (2), 149-162, 2010 | 17 | 2010 |
Learning-based scheduling of flexible manufacturing systems using case-based reasoning P Priore, D de la Fuente, R Pino Applied Artificial Intelligence 15 (10), 949-963, 2001 | 16 | 2001 |
Variabilidad de las características de las bellotas en el Valle de los Pedroches (Córdoba) I Fernández, AG Cabrera, P Moreno, EJ de Pedro Sanz, E Díaz, FJ López, ... Pastos y ganadería extensiva, 317-322, 2004 | 14 | 2004 |
Dynamic scheduling of manufacturing systems with machine learning P Priore, D De La Fuente, A Gomez, J Puente International Journal of Foundations of Computer Science 12 (06), 751-762, 2001 | 12 | 2001 |