Alejandro Peña

According to our database, Alejandro Peña authored at least 19 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment.

Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez, Alfonso Ortega, Ainhoa Herrarte, Manuel Alcantara, Javier Ortega-Garcia

SN Comput. Sci., September, 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

Appl. Soft Comput., March, 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

Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 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

Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

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, Ivan Ochoa

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2021

Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events.

Alejandro Peña, Alejandro Patino, Francisco Chiclana, Fabio Caraffini, Mario Gongora, Juan David Gonzalez-Ruiz, Eduardo Duque-Grisales

Appl. Soft Comput., 2021

Applying fuzzy scenarios for the measurement of operational risk.

Isis Bonet, Alejandro Peña, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora

Appl. Soft Comput., 2021

Facial Expressions as a Vulnerability in Face Recognition.

Alejandro Peña, Aythami Morales, Ignacio Serna, Julian Fiérrez, Àgata Lapedriza

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics.

Ignacio Serna, Alejandro Peña, Aythami Morales, Julian Fiérrez

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Emotional-Blinded Face Representations.

Alejandro Peña, Julian Fiérrez, Aythami Morales, Àgata Lapedriza

Proceedings of the 25th International Conference on Pattern Recognition, 2020

FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment.

Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment.

Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Oil Palm Detection via Deep Transfer Learning.

Isis Bonet, Fabio Caraffini, Alejandro Peña, Alejandro Puerta, Mario Gongora

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

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, Francisco Chiclana

Soft Comput., 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

Appl. Soft Comput., 2019

Deep Clustering for Metagenomics.

Isis Bonet, Alejandro Peña, Christian Lochmuller, Alejandro Patino, Mario Gongora

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

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

Knowl. Based Syst., 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

Expert Syst. Appl., 2018

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

Appl. Soft Comput., 2018