Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification. - Javier Sánchez-Monedero; César Hervás-Martínez; Francisco J. Martínez-Estudillo; Mariano Carbonero-Ruz; M. C. Ramírez Moreno; Manuel Cruz-Ramírez (HAIS (2), 2010)

Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology. - Manuel Cruz-Ramírez; Javier Sánchez-Monedero; Francisco Fernández-Navarro; Juan Carlos Fernández 001; César Hervás-Martínez (IEA/AIE (3), 2010)

Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions. - Manuel Cruz-Ramírez; César Hervás-Martínez; Juan Carlos Fernández 001; Javier Sánchez-Monedero (IJCNN, 2010)

Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. - Manuel Cruz-Ramírez; Juan Carlos Fernández 001; Javier Sánchez-Monedero; Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; M. Teresa Lamata (ISDA, 2010)

On the suitability of Extreme Learning Machine for gene classification using feature selection. - Javier Sánchez-Monedero; Manuel Cruz-Ramírez; Francisco Fernández-Navarro; Juan Carlos Fernández 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (ISDA, 2010)

Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology. - Manuel Cruz-Ramírez; Javier Sánchez-Monedero; Francisco Fernández-Navarro; Juan Carlos Fernández 001; César Hervás-Martínez (Evol. Intell., 2010)

A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm. - Manuel Cruz-Ramírez; César Hervás-Martínez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez (ISDA, 2011)

Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns. - Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez; Leopoldo Carro-Calvo; Javier Sánchez-Monedero; Luis Prieto (ISDA, 2011)

Numerical variable reconstruction from ordinal categories based on probability distributions. - Javier Sánchez-Monedero; Mariano Carbonero-Ruz; David Becerra-Alonso; Francisco J. Martínez-Estudillo; Pedro Antonio Gutiérrez; César Hervás-Martínez (ISDA, 2011)

Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front. - Manuel Cruz-Ramírez; Juan Carlos Fernández 001; Francisco Fernández-Navarro; Javier Sánchez-Monedero; César Hervás-Martínez (SDE, 2011)

MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks. - Francisco Fernández-Navarro; César Hervás-Martínez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez (Neurocomputing, 2011)

Bloom filter-based discovery protocol for DDS middleware. - Javier Sánchez-Monedero; Javier Povedano-Molina; Jose M. Lopez-Vega; Juan M. López-Soler (J. Parallel Distributed Comput., 2011)

Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; Francisco Fernández-Navarro; César Hervás-Martínez (Neural Process. Lett., 2011)

An Experimental Study of Different Ordinal Regression Methods and Measures. - Pedro Antonio Gutiérrez; M. Pérez-Ortiz 001; Francisco Fernández-Navarro; Javier Sánchez-Monedero; César Hervás-Martínez (HAIS (2), 2012)

Approaching System Administration as a Group Project in Computer Engineering Higher Education. - Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez; Manuel Cruz-Ramírez; Juan Carlos Fernández 001; Francisco Fernández-Navarro (CISIS/ICEUTE/SOCO Special Sessions, 2012)

Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (ESANN, 2013)

Evolutionary Ordinal Extreme Learning Machine. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2013)

Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Manuel Cruz-Ramírez; Javier Sánchez-Monedero; César Hervás-Martínez (IWANN (1), 2013)

An n-Spheres Based Synthetic Data Generator for Supervised Classification. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; César Hervás-Martínez (IWANN (1), 2013)

Ordinal and nominal classification of wind speed from synoptic pressurepatterns. - Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez; Leopoldo Carro-Calvo; Javier Sánchez-Monedero; Luis Prieto (Eng. Appl. Artif. Intell., 2013)

Exploitation of Pairwise Class Distances for Ordinal Classification. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; Peter Tiño; César Hervás-Martínez (Neural Comput., 2013)

Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez; Athanasia Nikolaou; Isabelle Dicaire; Francisco Fernández-Navarro (HAIS, 2014)

A guided data projection technique for classification of sovereign ratings: The case of European Union 27. - Javier Sánchez-Monedero; Pilar Campoy-Muñoz; Pedro Antonio Gutiérrez; César Hervás-Martínez (Appl. Soft Comput., 2014)

Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier. - Javier Sánchez-Monedero; Sancho Salcedo-Sanz; Pedro Antonio Gutiérrez; Carlos Casanova-Mateo; César Hervás-Martínez (Eng. Appl. Artif. Intell., 2014)

Metrics to guide a multi-objective evolutionary algorithm for ordinal classification. - Manuel Cruz-Ramírez; César Hervás-Martínez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez (Neurocomputing, 2014)

Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models. - Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (CAEPIA, 2015)

Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models. - Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (IWANN (2), 2015)

Kernelising the Proportional Odds Model through kernel learning techniques. - María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Manuel Cruz-Ramírez; Javier Sánchez-Monedero; César Hervás-Martínez (Neurocomputing, 2015)

Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency. - Mercedes Torres-Jiménez; Carlos R. García-Alonso; Javier Sánchez-Monedero; Salud Millán-Lara; César Hervás-Martínez (Prog. Artif. Intell., 2015)

Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being. - María Pérez-Ortiz 001; Mercedes Torres-Jiménez; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (HAIS, 2016)

Classification of Melanoma Presence and Thickness Based on Computational Image Analysis. - Javier Sánchez-Monedero; Aurora Sáez; María Pérez-Ortiz 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (HAIS, 2016)

Representing ordinal input variables in the context of ordinal classification. - Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Javier Sánchez-Monedero; César Hervás-Martínez (IJCNN, 2016)

Tackling the ordinal and imbalance nature of a melanoma image classification problem. - María Pérez-Ortiz 001; Aurora Sáez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; César Hervás-Martínez (IJCNN, 2016)

A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment. - M. Pérez-Ortiz 001; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; César Hervás-Martínez (Neural Process. Lett., 2016)

Ordinal Regression Methods: Survey and Experimental Study. - Pedro Antonio Gutiérrez; María Pérez-Ortiz 001; Javier Sánchez-Monedero; Francisco Fernández-Navarro; César Hervás-Martínez (IEEE Trans. Knowl. Data Eng., 2016)

Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images. - Aurora Sáez; Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; César Hervás-Martínez (IEEE Trans. Medical Imaging, 2016)

Partial order label decomposition approaches for melanoma diagnosis. - Javier Sánchez-Monedero; María Pérez-Ortiz 001; Aurora Sáez; Pedro Antonio Gutiérrez; César Hervás-Martínez (Appl. Soft Comput., 2018)

The politics of deceptive borders: 'biomarkers of deceit' and the case of iBorderCtrl. - Javier Sánchez-Monedero; Lina Dencik (CoRR, 2019)

On the use of evolutionary time series analysis for segmenting paleoclimate data. - María Pérez-Ortiz 001; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; Athanasia Nikolaou; Francisco Fernández-Navarro; César Hervás-Martínez (Neurocomputing, 2019)

ORCA: A Matlab/Octave Toolbox for Ordinal Regression. - Javier Sánchez-Monedero; Pedro Antonio Gutiérrez; María Pérez-Ortiz 001 (J. Mach. Learn. Res., 2019)

What does it mean to 'solve' the problem of discrimination in hiring?: social, technical and legal perspectives from the UK on automated hiring systems. - Javier Sánchez-Monedero; Lina Dencik; Lilian Edwards (FAT*, 2020)

How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees. - Ana Valdivia; Javier Sánchez-Monedero; Jorge Casillas (CoRR, 2020)

How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness. - Ana Valdivia; Javier Sánchez-Monedero; Jorge Casillas (Int. J. Intell. Syst., 2021)

Biometric identity systems in law enforcement and the politics of (voice) recognition: The case of SiiP. - Fieke Jansen; Javier Sánchez-Monedero; Lina Dencik (Big Data Soc., 2021)

Data justice. - Lina Dencik; Javier Sánchez-Monedero (Internet Policy Rev., 2022)

AI research assistants, intrinsic values, and the science we want. - Ariel Guersenzvaig; Javier Sánchez-Monedero (AI Soc., 2025)