Browsing by Author "Pena, Alejandro"
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Flexible inverse adaptive fuzzy inference model to identify the evolution of Operational Value at Risk for improving operational risk management
Pena, Alejandro; Bonet, Isis; Lochmuller, Christian; Chiclana, Francisco; Gongora, Mario Augusto (Article)Operational risk was one of the most important risks in the 2008 global financial crisis. This is due to limitations of the applied models in explaining and estimating this type of risk from highly qualitative information ... -
A fuzzy credibility model to estimate the operational value at risk using internal and external data of risk events
Pena, Alejandro; Bonet, Isis; Lochmuller, Christian; Patino, Hector Alejandro; Chiclana, Francisco; Gongora, Mario Augusto (Article)Operational Risk (OpR) refers to the possibility of suffering losses resulting from inadequate or failure of processes and/or technology, inadequate behaviour of people or external events. OpR was ... -
A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs
Pena, Alejandro; Bonet, Isis; Lochmuller, Christian; Tabares, Marta S.; Piedrahita, Carlos C.; Sánchez, Carmen C.; Giraldo, Liliana M.; Gongora, Mario Augusto; Chiclana, Francisco (Article)Advances in technology and an increase in the amount and complexity of data that is generated in healthcare have led to an indispensable revolution in this sector related to big data. Analytics of information based on ... -
An Integrated Inverse Adaptive Neural Fuzzy System with Monte-Carlo Sampling Method for Operational Risk Management
Chiclana, Francisco; Gongora, Mario Augusto; Pena, Alejandro; Bonet, Isis; Lochmuller, Christian (Article)Operational risk refers to deficiencies in processes, systems, people or external events, which may generate losses for an organization. The Basel Committee on Banking Supervision has defined different ... -
Oil Palm Detection via Deep Transfer Learning
Bonet, Isis; Caraffini, Fabio; Pena, Alejandro; Puerta, Alejandro; Gongora, Mario Augusto (Conference)This article presents an intelligent system using deep learning algorithms and the transfer learning approach to detect oil palm units in multispectral photographs taken with unmanned aerial vehicles. Two main contributions ...