FORMACIÓN
- PhD. in Computing, University of the West of Scotland, 2010.
- Máster Universitario en Bioinformática, Universidad Internacional de Andalucía.
- Licenciado en Ciencias Físicas, Universidad de Córdoba
EXPERIENCIA DOCENTE
El profesor/a ha impartido las siguientes asignaturas en los últimos años:
- Física I
- Matemáticas Aplicadas a la Gestión Empresarial
- Modelado de Sistemas Físicos I
- Procesamiento de Textos Científicos
- Taller de aplicación de Técnicas Cualitativas y Cuantitativas
- Técnicas basadas en la Inteligencia Artificial. Aprendizaje Automático
ACTIVIDAD INVESTIGADORA
Publicaciones
Artículos
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Artificial Intelligence Tools and Bias in Journalism-related Content Generation: Comparison Between Chat GPT-3.5, GPT-4 and Bing
CASTILLO CAMPOS, MAR, VARONA ARAMBURU, DAVID, BECERRA ALONSO, DAVID , 2024, Tripodos
10.51698/tripodos.2024.55.06 -
Assessing risk indicators of intimate partner femicide considering victim\'s coping strategies to violence: A dynamic multilevel linear mixed model based on genetic algorithms
GARCIA VERGARA, ESPERANZA, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, BECERRA ALONSO, DAVID, ALMEDA MARTÍNEZ, NEREA MARÍA , 2024, Heliyon
10.1016/j.heliyon.2024.e37827 -
Artificial intelligence extracts key insights from legal documents to predict intimate partner femicide
GARCIA VERGARA, ESPERANZA, ALMEDA MARTÍNEZ, NEREA MARÍA, Fernandez-Navarro, Francisco , BECERRA ALONSO, DAVID , 2023, Sci Rep
10.1038/s41598-023-45157-5 -
A Comparison of Multi-Label Text Classification Models in Research Articles Labeled with Sustainable Development Goals
Morales-Hernández R.C. , Juagüey J.G. , BECERRA ALONSO, DAVID , 2022, IEEE Access
10.1109/ACCESS.2022.3223094 -
A Comprehensive Analysis of Factors Associated with Intimate Partner Femicide: A Systematic Review
GARCIA VERGARA, ESPERANZA, ALMEDA MARTÍNEZ, NEREA MARÍA, MARTÍN RÍOS, BLANCA, BECERRA ALONSO, DAVID, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS , 2022, Int. J. Environ. Res. Public Health
10.3390/ijerph19127336 -
Risk Assessment Instruments for Intimate Partner Femicide: A Systematic Review
GARCIA VERGARA, ESPERANZA, ALMEDA MARTÍNEZ, NEREA MARÍA, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, BECERRA ALONSO, DAVID , 2022, Front. Psychol.
10.3389/fpsyg.2022.896901 -
Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study
Morales F. , García-Torres M. , Velázquez G. , Daumas-Ladouce F. , Gardel-Sotomayor P.E. , Gómez-Vela F. , Divina F. , Vázquez Noguera J.L. , Sauer Ayala C. , Pinto-Roa D.P. , Mello-Román J.C. , BECERRA ALONSO, DAVID , 2022, Electronics (Switzerland)
10.3390/electronics11020267 -
Characterizing Mathematics Learning in Colombian Higher Distance Education
Martinez-Villarraga, Elizabeth , LÓPEZ COBO, ISABEL, BECERRA ALONSO, DAVID, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS , 2021, Mathematics
10.3390/math9151740 -
Negative correlation learning in the extreme learning machine framework
PERALES GONZÁLEZ, CARLOS, CARBONERO RUZ, MARIANO, PÉREZ RODRÍGUEZ, JAVIER, BECERRA ALONSO, DAVID, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS , 2020, Neural Comput. Appl.
10.1007/s00521-020-04788-9 -
EduZinc: A tool for the creation and assessment of student learning activities in complex open, online and flexible learning environments
BECERRA ALONSO, DAVID, LÓPEZ COBO, ISABEL, GÓMEZ DEL REY, PILAR, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, Barbera, Elena , 2020, Distance Educ.
10.1080/01587919.2020.1724769 -
Regularized ensemble neural networks models in the Extreme Learning Machine framework
PERALES GONZÁLEZ, CARLOS, CARBONERO RUZ, MARIANO, BECERRA ALONSO, DAVID, PÉREZ RODRÍGUEZ, JAVIER, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS , 2019, Neurocomputing
10.1016/j.neucom.2019.06.040 -
High-throughput micropatterning platform reveals Nodal-dependent bisection of peri-gastrulation-associated versus preneurulation-associated fate patterning
Tewary, Mukul , Dziedzicka, Dominika , Ostblom, Joel , Prochazka, Laura , Shakiba, Nika , Heydari, Tiam , Aguilar-Hidalgo, Daniel , Woodford, Curtis , Piccinini, Elia , BECERRA ALONSO, DAVID, Vickers, Alice , Louis, Blaise , Rahman, Nafees , Danovi, Davide , Geens, Mieke , Watt, Fiona M. , Zandstra, Peter W. , 2019, PLoS Biol
10.1371/journal.pbio.3000081 -
Global Sensitivity Estimates for Neural Network Classifiers
FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, CARBONERO RUZ, MARIANO, BECERRA ALONSO, DAVID, TORRES JIMÉNEZ, MERCEDES , 2017, IEEE Trans. Neural Netw. Learn. Syst.
10.1109/TNNLS.2016.2598657 -
Electronic properties of a molecular system with Platinum
Ojeda, J. H. , Medina, F. G. , BECERRA ALONSO, DAVID , 2017, Physica E
10.1016/j.physe.2017.07.025 -
A two dimensional accuracy-based measure for classification performance
CARBONERO RUZ, MARIANO, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, BECERRA ALONSO, DAVID, MARTÍNEZ ESTUDILLO, ALFONSO CARLOS , 2017, Inf. Sci.
10.1016/j.ins.2016.12.005 -
Toward a study of gene regulatory constraints to morphological evolution of the Drosophila ocellar region
Aguilar-Hidalgo, Daniel , BECERRA ALONSO, DAVID, Garcia-Morales, Diana , Casares, Fernando , 2016, Dev Genes Evol
10.1007/s00427-016-0541-8 -
An assessment of the barriers to the consumers\' uptake of genetically modified foods: a neural network analysis
Rodriguez-Entrena, Macario , SALAZAR ORDÓÑEZ, MELANIA, BECERRA ALONSO, DAVID , 2016, J Sci Food Agric
10.1002/jsfa.7247 -
Sensitivity and vulnerability of european countries in time of crisis based on a new approach to data clustering and curvilinear analysis
BECERRA ALONSO, DAVID, Androniceanu A. , Georgescu I. , 2016, Adm. Manage. Public
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Hyper-chaotic Magnetisation Dynamics of Two Interacting Dipoles
Urzagasti, D. , BECERRA ALONSO, DAVID, Perez, L. M. , Mancini, H. L. , Laroze, D. , 2015, J. Low Temp. Phys.
10.1007/s10909-015-1338-2 -
Stochastic sensitivity analysis using extreme learning machine
BECERRA ALONSO, DAVID, CARBONERO RUZ, MARIANO, MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2014, Adapt. Learn. Optim.
10.1007/978-3-319-04741-6_1 -
Reinventing the wheel: The chaotic sandwheel
Tongen, Anthony , Thelwell, Roger J. , BECERRA ALONSO, DAVID , 2013, Am. J. Phys.
10.1119/1.4768893 -
Involvement and emotions in the workplace: An empirical study of the determining factors
LUCIA CASADEMUNT, ANA MARÍA, ARIZA MONTES, JOSÉ ANTONIO, Morales-Gutiérrez A.C. , BECERRA ALONSO, DAVID , 2013, Rev. Venez. Gerencia
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Implicación laboral y emociones en el trabajo: Estudio empírico de sus factores determinantes
LUCIA CASADEMUNT, ANA MARÍA, ARIZA MONTES, JOSÉ ANTONIO, MORALES GUTIERREZ, ALFONSO CARLOS , BECERRA ALONSO, DAVID , 2013, Rev. Venez. Gerencia
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Exploring Emotional Involvement in Workplace by Applying Artificial Neural Networks: A European Study
LUCIA CASADEMUNT, ANA MARÍA, ARIZA MONTES, JOSÉ ANTONIO, BECERRA ALONSO, DAVID , 2013, Actual Probl. Econ.
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Magnetization Dynamics Under a Quasiperiodic Magnetic Field
Laroze, David , BECERRA ALONSO, DAVID, Gallas, Jason A. C. , Pleiner, Harald , 2012, IEEE Trans Magn
10.1109/TMAG.2012.2207378 -
Extreme Learning Machine to Analyze the Level of Default in Spanish Deposit Institutions
MONTERO ROMERO, Mª TERESA, LÓPEZ MARTÍN, MARÍA DEL CARMEN, BECERRA ALONSO, DAVID, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ , 2012, Rev. Metodos Cuantitativos Econ. Empresa
Libros
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Nonlinear Dynamics: Materials, Theory, and Experiments
BECERRA ALONSO, DAVID, URZAJASTI, D. , Laura Perez , 2019,
Congresos
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Comparison Between SVM and DistilBERT for Multi-label Text Classification of Scientific Papers Aligned with Sustainable Development Goals
Conference Paper - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022
2022
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Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach
Proceedings Paper - 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO)
2022
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Analysis of student achievement scores via cluster analysis
Conference Paper - 11th International Conference on EUropean Transnational Education, ICEUTE 2020
2021
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La evaluación automática de competencias en Educación Superior
Ponencia del Congreso - Congreso Internacional EVALtrends 2020
2020
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Analysis of Student Achievement Scores: A Machine Learning Approach
Conference Paper - International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2019 and 10th International Conference on European Transnational Education, ICEUTE 2019
2020
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A Preliminary Study of Diversity in Extreme Learning Machines Ensembles
Proceedings Paper - 13th International Conference on Hybrid Artificial Intelligent Systems (HAIS)
2018
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Feature grouping and selection on high-dimensional microarray data
Conference Paper - 2015 International Workshop on Data Mining with Industrial Applications, DMIA 2015
2016
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Hyper-Chaotic and Chaotic Synchronisation of Two Interacting Dipoles
Proceedings Paper - 3rd Dynamics Days South America Conference, 2014
2016
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An agent based cooperative socioeconomic model shows persistent wealth inequality
Ponencia del Congreso - XX Congreso Nacional de Física Estadística
2015
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Willingness to purchase genetically modified food: an analysis applying artificial neural network
Ponencia del Congreso - XIVth congress of the European Asociation of agricultural economists
2014
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Analisis de bienestar laboral en mujeres directivas mediante un modelo de red nuronal artificial
Ponencia del Congreso - XXIII JORNADAS HISPANO LUSAS DE GESTION CIENTIFICA
2013
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Evolutionary extreme learning machine for ordinal regression
Ponencia del Congreso - Comité Científico en el 19th International Conference on Neural Information Processing (ICONIP2012)
2012
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Análisis del nivel de implicación con el trabajo de los asalariados europeos: redes neuronales versus regresión logística
Ponencia del Congreso - XXII Congreso Nacional de ACEDE. ¿La sociedad emprendedora: reinventando la empresa¿
2012
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Evolutionary Extreme Learning Machine for Ordinal Regression
Proceedings Paper - 19th International Conference on Neural Information Processing, ICONIP 2012
2012
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Numerical variable reconstruction from ordinal categories based on probability distributions
Ponencia del Congreso - 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011)
2011
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Numerical variable reconstruction from ordinal categories based on probability distributions
Conference Paper - 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11
2011
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A hybrid evolutionary approach to obtain better quality classifiers
Conference Paper - 11th International Work-Conference on on Artificial Neural Networks, IWANN 2011
2011
Proyectos
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Sapiens
INVESTIGADOR PRINCIPAL, 2021 - 2023
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Despliegue y Control de una Red Inteligente de VehículosAutónomos Acuáticos para la Monitorización de Recursos HídricosAndaluces
INVESTIGADOR, 2020 - 2022
CONSEJERÍA DE ECONOMÍA, CONOCIMIENTO, EMPRESAS Y UNIVERSIDAD JUNTA DE ANDALUCIA, CECEU -
Disorders of Consciousness (DoC): enhancing the transfer of knowledge and professional skills on evidence-based interventions and validated technology for a better management of patients
INVESTIGADOR, 2018 - 2021
COMISIÓN EUROPEA -
Análisis y optimización de las conductas docentes en Educación Física mediante técnicas de inteligencia artificial como estrategia de mejora de patrones motivacionales y comportamentales en adolescentes vulnerables (AIPE)
INVESTIGADOR, 2024 - 2025