Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Francisco Chiclana; Mario Gongora 001 (Appl. Soft Comput., 2018)

An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Francisco Chiclana; Mario Gongora 001 (Expert Syst. Appl., 2018)

A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Héctor Alejandro Patiño; Francisco Chiclana; Mario Gongora 001 (Knowl. Based Syst., 2018)

Deep Clustering for Metagenomics. - Isis Bonet; Alejandro Peña; Christian Lochmuller; Alejandro Patino 001; Mario Gongora 001 (CIBB, 2019)

A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Marta S. Tabares; Carlos C. Piedrahita; Carmen C. Sánchez; Lillyana María Giraldo Marín; Mario Gongora 001; Francisco Chiclana (Soft Comput., 2019)

Applying fuzzy scenarios for the measurement of operational risk. - Isis Bonet; Alejandro Peña; Christian Lochmuller; Héctor Alejandro Patiño; Francisco Chiclana; Mario Gongora 001 (Appl. Soft Comput., 2021)

Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning. - Juan F. Pérez-Pérez; Isis Bonet Cruz; María Solange Sánchez-Pinzón; Fabio Caraffini; Christian Lochmuller (ISTAS, 2023)

Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach. - Juan F. Pérez-Pérez; Pablo Isaza Gómez; Isis Bonet; María Solange Sánchez-Pinzón; Fabio Caraffini; Christian Lochmuller (CoRR, 2024)