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ORCIDAlejandro Peña
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2020 – today
- 2024
[j11]Alejandro Peña
, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Iñigo Puente, Jorge Córdova, Gonzalo Cordova:
Continuous document layout analysis: Human-in-the-loop AI-based data curation, database, and evaluation in the domain of public affairs. Inf. Fusion 108: 102398 (2024)- [j10]Juan Manuel Rodriguez-Albala, Alejandro Peña, Pietro Melzi, Aythami Morales, Ruben Tolosana, Julian Fiérrez, Rubén Vera-Rodríguez, Javier Ortega-Garcia:
Spatio-temporal trajectory data modeling for fishing gear classification. Pattern Anal. Appl. 27(2): 42 (2024) - [i9]Imanol Solano, Alejandro Peña, Aythami Morales, Julian Fiérrez, Ruben Tolosana, Francisco Zamora-Martínez, Javier San Agustin:
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics. CoRR abs/2409.01928 (2024) - 2023
- [j9]Alejandro Peña, Juan C. Tejada, Juan David Gonzalez-Ruiz, Lina María Sepúlveda-Cano, Francisco Chiclana, Fabio Caraffini, Mario Gongora:
An evolutionary intelligent control system for a flexible joints robot. Appl. Soft Comput. 135: 110043 (2023) - [j8]Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez, Alfonso Ortega, Ainhoa Herrarte, Manuel Alcantara, Javier Ortega-Garcia:
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment. SN Comput. Sci. 4(5): 434 (2023) - [c10]Alejandro Peña, Alejandro Puerta, Isis Bonet, Fabio Caraffini, Mario Gongora, Ivan Ochoa:
A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. EvoApplications@EvoStar 2023: 491-506 - [c9]Alejandro Peña, Aythami Morales, Julian Fiérrez, Ignacio Serna, Javier Ortega-Garcia, Iñigo Puente, Jorge Córdova, Gonzalo Cordova:
Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs. ICDAR Workshops (1) 2023: 20-33 - [c8]Alejandro Peña, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Marcos Grande, Iñigo Puente, Jorge Córdova, Gonzalo Cordova:
Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs. ICDAR Workshops (2) 2023: 123-138 - [i8]Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez, Alfonso Ortega, Ainhoa Herrarte, Manuel Alcantara, Javier Ortega-Garcia:
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment. CoRR abs/2302.10908 (2023) - [i7]Alejandro Peña, Aythami Morales, Julian Fiérrez, Ignacio Serna, Javier Ortega-Garcia, Iñigo Puente, Jorge Córdova, Gonzalo Cordova:
Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs. CoRR abs/2306.02864 (2023) - [i6]Alejandro Peña, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Marcos Grande, Iñigo Puente, Jorge Córdova, Gonzalo Cordova:
Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs. CoRR abs/2306.10046 (2023) - 2021
- [j7]Alejandro Peña, Alejandro Patino, Francisco Chiclana, Fabio Caraffini, Mario Gongora, Juan David Gonzalez-Ruiz, Eduardo Duque-Grisales:
Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events. Appl. Soft Comput. 107: 107381 (2021) - [j6]Isis Bonet, Alejandro Peña, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora:
Applying fuzzy scenarios for the measurement of operational risk. Appl. Soft Comput. 112: 107785 (2021) - [c7]Alejandro Peña, Aythami Morales, Ignacio Serna, Julian Fiérrez, Àgata Lapedriza:
Facial Expressions as a Vulnerability in Face Recognition. ICIP 2021: 2988-2992 - 2020
- [c6]Isis Bonet, Fabio Caraffini, Alejandro Peña, Alejandro Puerta, Mario Gongora:
Oil Palm Detection via Deep Transfer Learning. CEC 2020: 1-8 - [c5]Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez:
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment. CVPR Workshops 2020: 129-137 - [c4]Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez:
FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment. ICMI 2020: 760-761 - [c3]Alejandro Peña, Julian Fiérrez, Aythami Morales, Àgata Lapedriza:
Learning Emotional-Blinded Face Representations. ICPR 2020: 3566-3573 - [c2]Ignacio Serna, Alejandro Peña, Aythami Morales, Julian Fiérrez:
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics. ICPR 2020: 3720-3727 - [i5]Ignacio Serna, Alejandro Peña, Aythami Morales, Julian Fiérrez:
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics. CoRR abs/2004.06592 (2020) - [i4]Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez:
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment. CoRR abs/2004.07173 (2020) - [i3]Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez:
FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment. CoRR abs/2009.07025 (2020) - [i2]Alejandro Peña, Julian Fiérrez, Àgata Lapedriza, Aythami Morales:
Learning Emotional-Blinded Face Representations. CoRR abs/2009.08704 (2020) - [i1]Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fiérrez, Àgata Lapedriza:
Facial Expressions as a Vulnerability in Face Recognition. CoRR abs/2011.08809 (2020)
2010 – 2019
- 2019
- [j5]Juan David Gonzalez-Ruiz, Alejandro Peña, Eduardo Alexander Duque, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora:
Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects. Appl. Soft Comput. 85 (2019) - [j4]Alejandro Peña, Isis Bonet, Christian Lochmuller, Marta S. Tabares, Carlos C. Piedrahita, Carmen C. Sánchez, Lillyana María Giraldo Marín, Mario Gongora, Francisco Chiclana:
A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs. Soft Comput. 23(20): 10537-10550 (2019) - [c1]Isis Bonet, Alejandro Peña, Christian Lochmuller, Alejandro Patino, Mario Gongora:
Deep Clustering for Metagenomics. CIBB 2019: 335-347 - 2018
- [j3]Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana, Mario Gongora:
Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management. Appl. Soft Comput. 65: 614-631 (2018) - [j2]Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana, Mario Gongora:
An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management. Expert Syst. Appl. 98: 11-26 (2018) - [j1]Alejandro Peña, Isis Bonet, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora:
A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events. Knowl. Based Syst. 159: 98-109 (2018)
Coauthor Index
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