Javier Sánchez-Monedero

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 21

Top Topics

Ordinal Classification

Machine Learning

Top Venues

Publications

Lina Dencik, Javier Sánchez-Monedero
Data justice. Internet Policy Rev. 11 (1) (2022)
Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas
How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness. Int. J. Intell. Syst. 36 (4) (2021)
Fieke Jansen, Javier Sánchez-Monedero, Lina Dencik
Biometric identity systems in law enforcement and the politics of (voice) recognition: The case of SiiP. Big Data Soc. 8 (2) (2021)
Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees. CoRR (2020)
Javier Sánchez-Monedero, Lina Dencik, Lilian Edwards
What does it mean to 'solve' the problem of discrimination in hiring?: social, technical and legal perspectives from the UK on automated hiring systems. FAT* (2020)
María Pérez-Ortiz, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, Athanasia Nikolaou, Francisco Fernández-Navarro, César Hervás-Martínez
On the use of evolutionary time series analysis for segmenting paleoclimate data. Neurocomputing (2019)
Javier Sánchez-Monedero, Lina Dencik
The politics of deceptive borders: 'biomarkers of deceit' and the case of iBorderCtrl. CoRR (2019)
Javier Sánchez-Monedero, Lina Dencik, Lilian Edwards
What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems. CoRR (2019)
Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz
ORCA: A Matlab/Octave Toolbox for Ordinal Regression. J. Mach. Learn. Res. 20 (2019)
Javier Sánchez-Monedero, María Pérez-Ortiz, Aurora Sáez, Pedro Antonio Gutiérrez, César Hervás-Martínez
Partial order label decomposition approaches for melanoma diagnosis. Appl. Soft Comput. 64 (2018)
María Pérez-Ortiz, Aurora Sáez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez
Tackling the ordinal and imbalance nature of a melanoma image classification problem. IJCNN (2016)
Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez
Ordinal Regression Methods: Survey and Experimental Study. IEEE Trans. Knowl. Data Eng. 28 (1) (2016)
Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, César Hervás-Martínez
Representing ordinal input variables in the context of ordinal classification. IJCNN (2016)
Aurora Sáez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez
Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images. IEEE Trans. Medical Imaging 35 (4) (2016)
M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment. Neural Process. Lett. 44 (2) (2016)
María Pérez-Ortiz, Mercedes Torres-Jiménez, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being. HAIS (2016)
Javier Sánchez-Monedero, Aurora Sáez, María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez
Classification of Melanoma Presence and Thickness Based on Computational Image Analysis. HAIS (2016)
Mercedes Torres-Jiménez, Carlos R. García-Alonso, Javier Sánchez-Monedero, Salud Millán-Lara, César Hervás-Martínez
Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency. Prog. Artif. Intell. 4 (3-4) (2015)
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, César Hervás-Martínez
Kernelising the Proportional Odds Model through kernel learning techniques. Neurocomputing 164 (2015)
Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models. IWANN (2) (2015)
Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models. CAEPIA (2015)
Javier Sánchez-Monedero, Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez
A guided data projection technique for classification of sovereign ratings: The case of European Union 27. Appl. Soft Comput. 22 (2014)
Manuel Cruz-Ramírez, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez
Metrics to guide a multi-objective evolutionary algorithm for ordinal classification. Neurocomputing 135 (2014)
M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Athanasia Nikolaou, Isabelle Dicaire, Francisco Fernández-Navarro
Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm. HAIS (2014)
Javier Sánchez-Monedero, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, César Hervás-Martínez
Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier. Eng. Appl. Artif. Intell. 34 (2014)
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, César Hervás-Martínez
Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping. IWANN (1) (2013)
Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz, César Hervás-Martínez
An n-Spheres Based Synthetic Data Generator for Supervised Classification. IWANN (1) (2013)
Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez
Exploitation of Pairwise Class Distances for Ordinal Classification. Neural Comput. 25 (9) (2013)
Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez
Evolutionary Ordinal Extreme Learning Machine. HAIS (2013)
María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez
Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. ESANN (2013)
Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leopoldo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto
Ordinal and nominal classification of wind speed from synoptic pressurepatterns. Eng. Appl. Artif. Intell. 26 (3) (2013)
Pedro Antonio Gutiérrez, M. Pérez-Ortiz, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez
An Experimental Study of Different Ordinal Regression Methods and Measures. HAIS (2) (2012)
Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro
Approaching System Administration as a Group Project in Computer Engineering Higher Education. CISIS/ICEUTE/SOCO Special Sessions (2012)
Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez
Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front. SDE (2011)
Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leopoldo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto
Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns. ISDA (2011)
Manuel Cruz-Ramírez, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez
A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm. ISDA (2011)
Javier Sánchez-Monedero, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás-Martínez
Numerical variable reconstruction from ordinal categories based on probability distributions. ISDA (2011)
Javier Sánchez-Monedero, Javier Povedano-Molina, Jose M. Lopez-Vega, Juan M. López-Soler
Bloom filter-based discovery protocol for DDS middleware. J. Parallel Distributed Comput. 71 (10) (2011)
Francisco Fernández-Navarro, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez
MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks. Neurocomputing 74 (16) (2011)
Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, César Hervás-Martínez
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers. Neural Process. Lett. 34 (2) (2011)
Manuel Cruz-Ramírez, Javier Sánchez-Monedero, Francisco Fernández-Navarro, Juan Carlos Fernández, César Hervás-Martínez
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology. Evol. Intell. 3 (3-4) (2010)
Javier Sánchez-Monedero, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez
On the suitability of Extreme Learning Machine for gene classification using feature selection. ISDA (2010)
Javier Sánchez-Monedero, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz, M. C. Ramírez Moreno, Manuel Cruz-Ramírez
Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification. HAIS (2) (2010)
Manuel Cruz-Ramírez, Juan Carlos Fernández, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, María Teresa Lamata
Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. ISDA (2010)
Manuel Cruz-Ramírez, Javier Sánchez-Monedero, Francisco Fernández-Navarro, Juan Carlos Fernández, César Hervás-Martínez
Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology. IEA/AIE (3) (2010)
Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Sánchez-Monedero
Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions. IJCNN (2010)