David Becerra Alonso received a B.S. degree in physics at Universidad de Córdoba in 2005, where he specialized in the simulation of physical systems. He obtained his PhD in the School of Computing at the University of the West of Scotland in 2010, where he worked on dynamical chaotic systems. He also has a Masters degree in Bioinformatics from Universidad Internacional de Andalucía. He currently holds a position as a lecturer at Universidad Loyola Andalucía, in southern Spain. He collaborates with the research group AYRNA, from Universidad de Córdoba. His research interests include dynamical systems, emergent collective behavior, and machine learning techniques and heuristics. David Becerra Alonso se licenció en Física en la Universidad de Córdoba en 2005, donde se especializó en simulación de sistemas físicos. Obtuvo su doctorado en la facultad de informática de University of the West of Scotland, presentando una tesis sobre sistemas dinámicos caóticos. También tiene un Máster en Bioinformática por la Universidad Internacional de Andalucía. Actualmente es profesor e investigador en la Universidad Loyola Andalucía. Colabora con el grupo de investigación AYRNA, de la Universidad de Córdoba. Sus líneas de investigación incluyen sistemas dinámicos, fenómenos emergentes, y heurísticas de aprendizaje e inteligencia artificial.
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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 01/01/2024 Article |
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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 24/10/2023 Article |
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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 17/11/2022 Article |
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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 01/06/2022 Review |
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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 31/05/2022 Review |
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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 14/01/2022 Article |
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Characterizing Mathematics Learning in Colombian Higher Distance Education Martinez-Villarraga, Elizabeth , LÓPEZ COBO, ISABEL, BECERRA ALONSO, DAVID, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS 01/08/2021 Article |
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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 02/03/2020 Article |
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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 01/03/2020 Article |
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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 07/10/2019 Article |
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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. 01/10/2019 Article |
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Global Sensitivity Estimates for Neural Network Classifiers FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, CARBONERO RUZ, MARIANO, BECERRA ALONSO, DAVID, TORRES JIMÉNEZ, MERCEDES 01/11/2017 Article |
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Electronic properties of a molecular system with Platinum Ojeda, J. H. , Medina, F. G. , BECERRA ALONSO, DAVID 01/10/2017 Article |
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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 01/03/2017 Article |
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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 01/06/2016 Article |
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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 30/03/2016 Article |
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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. 01/01/2016 Article |
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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. 01/12/2015 Article |
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Stochastic sensitivity analysis using extreme learning machine BECERRA ALONSO, DAVID, CARBONERO RUZ, MARIANO, MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ 01/01/2014 Article |
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Reinventing the wheel: The chaotic sandwheel Tongen, Anthony , Thelwell, Roger J. , BECERRA ALONSO, DAVID 01/02/2013 Article |
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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 01/01/2013 Article |
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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 01/01/2013 Article |
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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 01/01/2013 Article |
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Magnetization Dynamics Under a Quasiperiodic Magnetic Field Laroze, David , BECERRA ALONSO, DAVID, Gallas, Jason A. C. , Pleiner, Harald 01/11/2012 Article |
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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 01/01/2012 Article |
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Comparison Between SVM and DistilBERT for Multi-label Text Classification of Scientific Papers Aligned with Sustainable Development Goals Morales-Hernández R.C. , BECERRA ALONSO, DAVID, Vivas E.R. , Gutiérrez J. 01/10/2022 Conference Paper |
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Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach Gallardo, Jose A. , Garcia-Torres, Miguel , Gomez-Vela, Francisco , Morales, Felix , Divina, Federico , BECERRA ALONSO, DAVID, Velazquez, Gustavo , Daumas-Ladouce, Federico , Vazquez Noguera, Jose Luis , Sauer Ayala, Carlos , Pinto-Roa, Diego P. , Gardel-Sotomayor, Pedro E. , Mello Roman, Julio C. 23/09/2022 Proceedings Paper |
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Analysis of student achievement scores via cluster analysis Chaves V.E.J. , García-Torres M. , BECERRA ALONSO, DAVID, Gómez-Vela F. , Divina F. , Vázquez-Noguera J.L. 01/01/2021 Conference Paper |
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La evaluación automática de competencias en Educación Superior LÓPEZ COBO, ISABEL, BECERRA ALONSO, DAVID 25/02/2020 - 27/02/2020 Ponencia del Congreso |
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Analysis of Student Achievement Scores: A Machine Learning Approach García-Torres M. , BECERRA ALONSO, DAVID, Gómez-Vela F.A. , Divina F. , LÓPEZ COBO, ISABEL, Martínez-Álvarez F. 01/01/2020 Conference Paper |
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A Preliminary Study of Diversity in Extreme Learning Machines Ensembles PERALES GONZÁLEZ, CARLOS, CARBONERO RUZ, MARIANO, BECERRA ALONSO, DAVID, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS 01/01/2018 Proceedings Paper |
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Feature grouping and selection on high-dimensional microarray data Garcia-Torres M. , Gomez-Vela F. , BECERRA ALONSO, DAVID, Melian-Batista B. , Moreno-Vega J.M. 01/01/2016 Conference Paper |
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Hyper-Chaotic and Chaotic Synchronisation of Two Interacting Dipoles Urzagasti, D. , BECERRA ALONSO, DAVID, Perez, L. M. , Mancini, H. L. , Laroze, D. 01/01/2016 Proceedings Paper |
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An agent based cooperative socioeconomic model shows persistent wealth inequality BECERRA ALONSO, DAVID, MORALES MÁRQUEZ, LUIS, GRACIA RODRÍGUEZ, J 05/10/2015 - 07/10/2015 Ponencia del Congreso |
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Willingness to purchase genetically modified food: an analysis applying artificial neural network SALAZAR ORDÓÑEZ, MELANIA, BECERRA ALONSO, DAVID, RODRÍGUEZ ENTRENA, MACARIO 26/08/2014 - 29/08/2014 Ponencia del Congreso |
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Analisis de bienestar laboral en mujeres directivas mediante un modelo de red nuronal artificial LUCIA CASADEMUNT, ANA MARÍA, ARIZA MONTES, JOSÉ ANTONIO, MORALES GUTIERREZ, ALFONSO CARLOS , BECERRA ALONSO, DAVID 07/02/2013 - 09/02/2013 Ponencia del Congreso |
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Evolutionary extreme learning machine for ordinal regression BECERRA ALONSO, DAVID, CARBONERO RUZ, MARIANO, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, MARTÍNEZ ESTUDILLO, ALFONSO CARLOS 15/11/2012 Ponencia del Congreso |
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Análisis del nivel de implicación con el trabajo de los asalariados europeos: redes neuronales versus regresión logística LUCIA CASADEMUNT, ANA MARÍA, ARIZA MONTES, JOSÉ ANTONIO, MORALES GUTIERREZ, ALFONSO CARLOS , BECERRA ALONSO, DAVID 17/09/2012 Ponencia del Congreso |
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Evolutionary Extreme Learning Machine for Ordinal Regression BECERRA ALONSO, DAVID, CARBONERO RUZ, MARIANO, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, MARTÍNEZ ESTUDILLO, ALFONSO CARLOS 01/01/2012 Proceedings Paper |
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Numerical variable reconstruction from ordinal categories based on probability distributions Sánchez Monedero, Javier , CARBONERO RUZ, MARIANO, BECERRA ALONSO, DAVID, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Gutiérrez Peña, Pedro Antonio , HERVAS MARTINEZ, CESAR 22/11/2011 Ponencia del Congreso |
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A hybrid evolutionary approach to obtain better quality classifiers BECERRA ALONSO, DAVID, CARBONERO RUZ, MARIANO, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, MARTÍNEZ ESTUDILLO, ALFONSO CARLOS 01/01/2011 Conference Paper |
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Numerical variable reconstruction from ordinal categories based on probability distributions SÁNCHEZ MONEDERO, JAVIER, CARBONERO RUZ, MARIANO, BECERRA ALONSO, DAVID, MARTÍNEZ ESTUDILLO, FRANCISCO JOSÉ, Gutiérrez P.A. , Hervás-Martínez C. 01/01/2011 Conference Paper |
| Capítulos y libros |
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Nonlinear Dynamics: Materials, Theory, and Experiments 21/10/2019 Libro Completo |
| Proyecto |
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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) Project 01/09/2024 Amount: 10350 € Principal Investigator: EVELIA FRANCO ÁLVAREZ |
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Sapiens Project 01/04/2021 Amount: 44685 € Principal Investigator: DAVID BECERRA ALONSO |
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Despliegue y Control de una Red Inteligente de VehículosAutónomos Acuáticos para la Monitorización de Recursos HídricosAndaluces Project 01/01/2020 Amount: 184100 € Principal Investigator: ISABEL JURADO FLORES |
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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 Project 01/01/2018 Amount: 78850 € Principal Investigator: ALEJANDRO GALVAO CARMONA |
| Tesis |
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RECONOCIMIENTO DE TENDENCIAS EN UN CAMPO DE INVESTIGACIÓN Y SU CLASIFICACIÓN A LOS OBJETIVOS DE DESARROLLO SOSTENIBLE APLICANDO TÉCNICAS DE PROCESAMIENTO DE LENGUAJE NATURAL EN PUBLICACIONES CIENTÍFICAS Defendida el 12/09/2023 |
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Estudio de caracterización sobre el aprendizaje de las Matemáticas en Educación Superior bajo la modalidad a distancia. Caso: DUAD Defendida el 19/09/2022 |
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Diversidad explícita en modelos de\r ensembles de Extreme Learning Machine Defendida el 17/07/2021 |
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