Publications | Javier Sánchez-Monedero

Naiara Bellio, Carlos Lancho Bances, Javier Sánchez-Monedero, Ana Valdivia García (2024). Digital technologies for migration control at the Spanish Southern Border.

Anna Ginès I Fabrellas, Ana Belén Muñoz Ruiz, Javier Sánchez-Monedero, Adrián Todolí Signes, Gemma Galdon Clavell (2022). Guía práctica y herramienta sobre la obligación empresarial de información sobre el uso de algoritmos en el ámbito laboral.

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L. Dencik, J. Sánchez-Monedero (2022). Data Justice. Internet Policy Review.

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F. Jansen, J. Sánchez-Monedero, L. Dencik (2021). Biometric identity systems in law enforcement and the politics of (voice) recognition: The case of SiiP. Big Data & Society.

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A. Valdivia, J. Sánchez-Monedero, J. Casillas (2021). How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees. International Journal of Intelligent Systems.

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J. Sánchez-Monedero (2021). Risks and Uncertainties in Contact Tracing Apps. COVID-19 from the Margins. Pandemic Invisibilities, Policies and Resistance in the Datafied Society..

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P. Rodriguez, S. Graña, E. E. Alvarez-León, M. Battaglini, F. J. Darias, R. Lopez M. Hernan, P. Llaneza, M. C. Martin, O. Ramirez-Rubio, A. Romaní, B. Suárez-Rodriguez, J. Sánchez-Monedero, A. Arenas, L. Lacasa (2021). A population-based controlled experiment assessing the epidemiological impact of digital contact tracing. Nature Communications.

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J. Sánchez-Monedero, L. Dencik (2020). The politics of deceptive borders: 'biomarkers of deceit' and the case of iBorderCtrl. Information, Communication and Society.

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J. Sánchez-Monedero, L. Dencik, L. Edwards (2020). What Does It Mean to “solve” the Problem of Discrimination in Hiring? Social, Technical and Legal Perspectives from the UK on Automated Hiring Systems. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. Best interdisciplinary paper award..

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J. Sánchez-Monedero (2020). Digital borders and surveillance humanitarianism. Decidim Fest 2020. Democracy and Technology in times of Emergency.

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J. Sánchez-Monedero, L. Dencik (2019). The datafication of the workplace.

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M. Pérez-Ortiz, A. Durán-Rosal, P. A. Gutiérrez, J. Sánchez-Monedero, A. Nikolaou, F. Fernández-Navarro, C. Hervás-Martínez (2019). On the use of evolutionary time series analysis for segmenting paleoclimate data. Neurocomputing.

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J. Sánchez-Monedero, P. A. Gutiérrez, M. Pérez-Ortiz (2019). ORCA: A Matlab/Octave Toolbox for Ordinal Regression. Journal of Machine Learning Research.

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J. Sánchez-Monedero (2019). Data-driven hiring, labour relations, and social justice. Data Power 2019.

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J. Sánchez-Monedero, L. Dencik (2018). How to (partially) evaluate automated decision systems.

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J. Sánchez-Monedero (2018). The datafication of borders and management of refugees in the context of Europe.

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J. Sánchez-Monedero, M. Pérez-Ortiz, A. Saez, P. A. Gutiérrez, C. Hervás-Martínez (2018). Partial order label decomposition approaches for melanoma diagnosis. Applied Soft Computing.

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J. Sánchez-Monedero, M. Pérez-Ortiz, A. Sáez, P. A. Gutiérrez, C. Hervás-Martínez (2017). Advanced feature extraction and machine learning models to melanoma and Breslow index detection. 8th IMIBIC Younh Investigators Meeting.

M. Pérez-Ortiz, J. Sánchez-Monedero, A. A. Sáez, P. A. Gutiérrez, C. Hervás-Martínez (2016). Tackling the ordinal and imbalance nature of a melanoma image classification problem. International Joint Conference on Neural Networks (IJCNN).

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P. A. Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero, C. Hervás-Martínez (2016). Representing ordinal input variables in the context of ordinal classification. International Joint Conference on Neural Networks (IJCNN).

P. A. Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero, F. Fernandez-Navarro, C. Hervás-Martínez (2016). Ordinal regression methods: survey and experimental study. IEEE Transactions on Knowledge and Data Engineering.

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A. Saez, J. Sánchez-Monedero, P. A. Gutiérrez, C. Hervás-Martínez (2016). Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images. Medical Imaging, IEEE Transactions on.

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J. Sánchez-Monedero, A. Sáez, M. Pérez-Ortiz, P. A. Gutiérrez, C. Hervás-Martínez (2016). Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings. Hybrid and Artificial Intelligent Systems (HAIS 2016).

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M. Pérez-Ortiz, M. Torres-Jiménez, P. A. Gutiérrez, J. Sánchez-Monedero, C. Hervás-Martínez (2016). Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings. Hybrid and Artificial Intelligent Systems (HAIS 2016).

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Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Javier ExtbfSánchez-Monedero, César Hervás-Martínez (2015). Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models. Advances in Artificial Intelligence - 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015, Albacete, Spain, November 9-12, 2015, Proceedings.

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Manuel Dorado-Moreno, P. A. Gutiérrez, J. Sánchez-Monedero, César Hervás-Martínez (2015). Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models. Advances in Computational Intelligence. 13th International Work-Conference on Artificial Neural Networks, IWANN 2015.

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Mercedes Torres-Jiménez, Carlos~R. García-Alonso, J. Sánchez-Monedero, Salud Millán-Lara, César Hervás-Martínez (2015). Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency. Progress in Artificial Intelligence.

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M. Pérez-Ortiz, P. A. Gutiérrez, M. Cruz-Ramírez, J. Sánchez-Monedero, C. Hervás-Martínez (2015). Kernelising the Proportional Odds Model through Kernel Learning techniques. Neurocomputing.

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M. Pérez-Ortiz, P. A. Gutiérrez, J. Sánchez-Monedero, C. Hervás- Martínez (2015). A study on multi-scale kernel optimisation via centered kernel-target alignment. Neural Processing Letters.

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J. Sánchez-Monedero, S. Salcedo-Sanz, P. A. Gutiérrez, C. Casanova-Mateo, C. Hervás-Martínez (2014). Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier. Engineering Applications of Artificial Intelligence.

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J. Sánchez-Monedero, P. Campoy-Muñoz, P. A. Gutiérrez, C. Hervás-Martínez (2014). A guided data projection technique for classification of sovereign ratings: the case of European Union 27. Applied Soft Computing.

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M. Cruz-Ramírez, C. Hervás-Martínez, J. Sánchez-Monedero, P. A. Gutiérrez (2014). Metrics to guide a multi-objective evolutionary algorithm for ordinal classification. Neurocomputing.

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M. Pérez-Ortiz, P. A. Gutiérrez, J. Sánchez-Monedero, C. Hervás-Martínez, Athanasia Nikolaou, Isabelle Dicaire, Francisco Fernández-Navarro (2014). Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm. Hybrid Artificial Intelligence Systems.

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J. Sánchez-Monedero (2013). Challenges in ordinal classification: artificial neural networks and projection-based methods.

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P. A. Gutiérrez, S. Salcedo-Sanz, C. Hervás-Martínez, L. Carro-Calvo, ExtbfJ. Sánchez-Monedero, L. Prieto (2013). Ordinal and nominal classification of wind speed from synoptic pressure patterns. Engineering Applications of Artificial Intelligence.

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M. Pérez-Ortiz, P. A. Gutiérrez, J. Sánchez-Monedero, C. Hervás-Martínez (2013). Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).

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M. Pérez-Ortiz, P. A. Gutiérrez, M. Cruz-Ramírez, J. Sánchez-Monedero, C. Hervás-Martínez (2013). Kernelising the Proportional Odds Model through kernel learning techniques. Advances in Computational Intelligence. 12th International Work-Conference on Artificial Neural Networks, IWANN 2013.

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J. Sánchez-Monedero, P. A. Gutiérrez, P. Tiňo, C. Hervás- Martínez (2013). Exploitation of Pairwise Class Distances for Ordinal Classification. Neural Computation.

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J. Sánchez-Monedero, P. A. Gutiérrez, C. Hervás-Martínez (2013). Evolutionary ordinal extreme learning machine. International Conference on Hybrid Artificial Intelligence Systems (HAIS2013).

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P. A. . Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero, C. Hervás-Martínez (2013). Estudio comparativo de distintos métodos de umbral en regresión ordinal. IX Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2013).

Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, César Hervás-Martínez (2013). Estudio comparativo de distintos métodos de umbral en regresión ordinal. IX Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados - MAEB 2013.

J. Sánchez-Monedero, P. A. Gutiérrez, M. Pérez-Ortiz, C. Hervás-Martínez (2013). An ıtshape n-Spheres Based Synthetic Data Generator for Supervised Classification. Advances in Computational Intelligence. 12th International Work-Conference on Artificial Neural Networks, IWANN 2013.

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P. A. Gutiérrez, J. Sánchez-Monedero, C. Hervás-Martínez, M. Cruz-Ramírez, J. C. Fernandez-Caballero, F. Fernandez-Navarro (2012). Approaching system administration as a group project in computer engineering higher education. Proceedings on the International Conference on EUropean Transnational Education (ICEUTE'12).

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P. A. Gutiérrez, M. Pérez-Ortiz, F. Fernández-Navarro, J. Sánchez-Monedero, C. Hervás-Martínez (2012). An Experimental Study of Different Ordinal Regression Methods and Measures. Hybrid Artificial Intelligent Systems.

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J. Sánchez-Monedero, M. Carbonero-Ruz, D. Becerra-Alonso, F. Martínez-Estudillo, P. A. Gutiérrez, C. Hervás-Martínez (2011). Numerical variable reconstruction from ordinal categories based on probability distributions. Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011).

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Pedro A. Gutiérrez, S. Salcedo-Sanz, C. Hervás-Martínez, L. Carro-Calvo, J. Sánchez-Monedero, Luis Prieto (2011). Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011).

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M. Cruz-Ramírez, C. Hervás-Martínez, J. Sánchez-Monedero, P. A. Gutiérrez (2011). A Preliminary Study of Ordinal Metrics to Guide a Multi-Objective Evolutionary Algorithm. Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011).

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M. Cruz-Ramirez, J. C. Fernandez, F. Fernandez-Navarro, J. Sánchez-Monedero, C. Hervas-Martinez (2011). Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front. 2011 IEEE Symposium on Differential Evolution (SDE).

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Alejandro De~Campos~Ruiz, Gerardo Pardo-Castellote, GianPiero Napoli, Fernando Crespo-Sanchez, J. Sánchez-Monedero (2011). High-level Programming of DDS Systems. Workshop on Real-time, Embedded and Enterprise-Scale Time-Critical Systems.

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J. Sánchez-Monedero (2011). El software libre y la tortilla de patatas.

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F. García-Aranda, J. Sánchez-Monedero, J. M. López-Soler (2011). An extensible DDS-based monitoring and intrusion detection system. Workshop on Real-time, Embedded and Enterprise-Scale Time-Critical Systems.

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J. Sánchez-Monedero, P. A. Gutiérrez, F. Fernández-Navarro, C. Hervás-Martínez (2011). Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers. Neural Processing Letters.

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F. Fernandez-Navarro, C. Hervás-Martínez, J. Sánchez-Monedero, P. A. Gutiérrez (2011). MELM-GRBF: A modified version of the Extreme Learning Machine for Generalized Radial Basis Function Neural Networks. Neurocomputing.

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J. Sánchez-Monedero, J. Povedano-Molina, J. M. López-Vega, J. M. López-Soler (2011). Bloom filter-based discovery protocol for DDS middleware. Journal of Parallel and Distributed Computing.

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J. Sánchez-Monedero, M. Cruz-Ramirez, F. Fernandez-Navarro, J. C. Fernandez, P. A. Gutierrez, C. Hervas-Martinez (2010). On the suitability of Extreme Learning Machine for gene classification using feature selection. 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA).

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M. Cruz-Ramírez, J. Sánchez-Monedero, F. Fernández-Navarro, J. C. Fernández, C. Hervás-Martínez (2010). Hybrid Pareto Differential Evolutionary Artificial Neural Networks to determined growth multi-classes in Predictive Microbiology. Trends in Applied Intelligent Systems. 23rd International Conference on Industrial and Engineering and Other Applications of Applied Intelligent Systems(IEA-AIE2010).

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J. M. López-Vega, J. Povedano-Molina, J. Sánchez-Monedero, J. M. López-Soler (2010). Políticas de QoS en una Plataforma de Trabajo Colaborativo sobre Middleware DDS. XIII Jornadas de Tiempo Real.

J. Sánchez-Monedero, P. A. Gutiérrez, C. Hervás-Martínez, M. Cruz-Ramírez, J. C. Fernández, F. Fernández-Navarro (2010). Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks. 1st International Conference on EUropean Transnational Education (ICEUTE2010).

M. Cruz-Ramírez, J. Sánchez-Monedero, F. Fernandez-Navarro, J. C. Fernandez-Caballero, C. Hervás-Martínez (2010). Memetic Pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology. Evolutionary Intelligence.

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M. Cruz-Ramírez, C. Hervás-Martínez, J. C. Fernández, J. Sánchez-Monedero (2010). Learning Artificial Neural Networks Multiclassifiers by Evolutionary Multiobjective Differential Evolution Guided by Statistical Distributions. International Joint Conference on Neural Networks (IJCNN2010).

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J. Povedano-Molina, J. M. López-Vega, J. Sánchez-Monedero, J. M. López-Soler (2010). Instant Messaging Based Interface for Data Distribution Service. XIII Jornadas de Tiempo Real.

J. Sánchez-Monedero, C. Hervás-Martínez, F. J. Martínez-Estudillo, M. Carbonero-Ruz, M. C. Ramírez-Moreno, M. Cruz-Ramírez (2010). Evolutionary Learning using a Sensitivity-Accuracy Approach for Classification. 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS2010).

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J. Sánchez-Monedero, C. Hervás-Martínez, P. A. Gutiérrez, M. Carbonero-Ruz, M. C. Ramírez-Moreno, M. Cruz-Ramírez (2010). Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures. Neural Network World.

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M. Cruz-Ramírez, J. C. Fernández, J. Sánchez-Monedero, F. Fernández-Navarro, C. Hervás-Martínez, P. A. Gutiérrez, M. T. Lamata (2010). Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA).

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F. Fernández-Navarro, C. Hervás-Martínez, P. A. Gutiérrez, M. Cruz-Ramírez, J. Sánchez-Monedero (2010). Aprendizaje híbrido de redes neuronales q-Gaussianas en clasificación binaria. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB2010).

J. M. López-Vega, J. Sánchez-Monedero, J. Povedano-Molina, J. M. López-Soler (2008). QoS Policies for Audio/Video Distribution Over DDS Middleware. Workshop on Distributed Object Computing for Real-time and Embedded Systems, Washington, DC, USA.

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J. Sánchez-Monedero, J. M. Lopez-Soler, J. Povedano-Molina, J. M. Lopez-Vega (2008). An XML-Based Approach to the Configuration and Deployment of DDS Applications. Workshop on Distributed Object Computing for Real-time and Embedded Systems, Washington, DC, USA.

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J. Sánchez-Monedero, J. M. López-Soler, J. Povedano-Molina (2007). Scalable DDS Discovery Protocols Based on Bloom Filters. Real-time and Embedded Systems Workshop, Arlington VA, USA.

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J. Sánchez-Monedero, L. Meléndez Aganzo, S. Ventura Soto (2006). Implantación de LDAP como sistema de autenticación centralizada. Actas de las III Jornadas de Software Libre de la Universidad de Cádiz.

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