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)

Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects. - Juan David Gonzalez-Ruiz; Alejandro Peña; Eduardo Alexander Duque; Héctor Alejandro Patiño; Francisco Chiclana; Mario Gongora 001 (Appl. Soft Comput., 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)

Oil Palm Detection via Deep Transfer Learning. - Isis Bonet; Fabio Caraffini; Alejandro Peña; Alejandro Puerta; Mario Gongora 001 (CEC, 2020)

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment. - Alejandro Peña; Ignacio Serna; Aythami Morales; Julian Fiérrez (CVPR Workshops, 2020)

FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment. - Alejandro Peña; Ignacio Serna; Aythami Morales; Julian Fiérrez (ICMI, 2020)

Learning Emotional-Blinded Face Representations. - Alejandro Peña; Julian Fiérrez; Aythami Morales; Àgata Lapedriza (ICPR, 2020)

InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics. - Ignacio Serna; Alejandro Peña; Aythami Morales; Julian Fiérrez (ICPR, 2020)

Facial Expressions as a Vulnerability in Face Recognition. - Alejandro Peña; Aythami Morales; Ignacio Serna; Julian Fiérrez; Àgata Lapedriza (ICIP, 2021)

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)

Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events. - Alejandro Peña; Alejandro Patino 001; Francisco Chiclana; Fabio Caraffini; Mario Gongora 001; Juan David Gonzalez-Ruiz; Eduardo Duque-Grisales (Appl. Soft Comput., 2021)

A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. - Alejandro Peña; Alejandro Puerta; Isis Bonet; Fabio Caraffini; Mario Gongora 001; Ivan Ochoa (EvoApplications@EvoStar, 2023)

Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs. - Alejandro Peña; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Marcos Grande; Iñigo Puente; Jorge Córdova; Gonzalo Cordova (ICDAR Workshops (2), 2023)

Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs. - Alejandro Peña; Aythami Morales; Julian Fiérrez; Ignacio Serna; Javier Ortega-Garcia; Iñigo Puente; Jorge Córdova; Gonzalo Cordova (ICDAR Workshops (1), 2023)

An evolutionary intelligent control system for a flexible joints robot. - Alejandro Peña; Juan C. Tejada; Juan David Gonzalez-Ruiz; Lina María Sepúlveda-Cano; Francisco Chiclana; Fabio Caraffini; Mario Gongora 001 (Appl. Soft Comput., 2023)

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment. - Alejandro Peña; Ignacio Serna; Aythami Morales; Julian Fiérrez; Alfonso Ortega 002; Ainhoa Herrarte; Manuel Alcantara; Javier Ortega-Garcia (SN Comput. Sci., 2023)

Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics. - Imanol Solano; Alejandro Peña; Aythami Morales; Julian Fiérrez; Ruben Tolosana; Francisco Zamora-Martínez; Javier San Agustin (ICPR (14), 2024)

Continuous document layout analysis: Human-in-the-loop AI-based data curation, database, and evaluation in the domain of public affairs. - Alejandro Peña; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Iñigo Puente; Jorge Córdova; Gonzalo Cordova (Inf. Fusion, 2024)

Spatio-temporal trajectory data modeling for fishing gear classification. - Juan Manuel Rodriguez-Albala; Alejandro Peña; Pietro Melzi; Aythami Morales; Ruben Tolosana; Julian Fiérrez; Rubén Vera-Rodríguez; Javier Ortega-Garcia (Pattern Anal. Appl., 2024)

Dynamic interrelationships among crude oil, green bond, and carbon markets: Evidence from fuzzy logic autoencoders. - Nini Johana Marín-Rodríguez; Elie Bouri; Juan David Gonzalez-Ruiz; Sergio Botero; Alejandro Peña (Appl. Soft Comput., 2025)

Balancing Tails when Comparing Distributions: Comprehensive Equity Index (CEI) with Application to Bias Evaluation in Operational Face Biometrics. - Imanol Solano; Julian Fierrez; Aythami Morales; Alejandro Peña; Ruben Tolosana; Francisco Zamora-Martínez; Javier San Agustin (CoRR, 2025)

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment. - Alejandro Peña; Julian Fierrez; Aythami Morales; Gonzalo Mancera; Miguel Lopez; Ruben Tolosana (CoRR, 2025)

PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER). - Gonzalo Mancera; Aythami Morales; Julian Fierrez; Ruben Tolosana; Alejandro Peña; Miguel Lopez-Duran; Francisco Jurado 001; Alvaro Ortigosa (CoRR, 2025)