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ORCIDJavier Sánchez-Monedero
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2020 – today
- 2022
[j20]Lina Dencik, Javier Sánchez-Monedero
:
Data justice. Internet Policy Rev. 11(1) (2022)- 2021
- [j19]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): 205395172110636 (2021) - [j18]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): 1619-1643 (2021) - 2020
- [c23]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: 458-468 - [i3]Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas:
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees. CoRR abs/2006.12399 (2020)
2010 – 2019
- 2019
- [j17]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 326-327: 3-14 (2019) - [j16]Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz:
ORCA: A Matlab/Octave Toolbox for Ordinal Regression. J. Mach. Learn. Res. 20: 125:1-125:5 (2019) - [i2]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 abs/1910.06144 (2019) - [i1]Javier Sánchez-Monedero, Lina Dencik:
The politics of deceptive borders: 'biomarkers of deceit' and the case of iBorderCtrl. CoRR abs/1911.09156 (2019) - 2018
- [j15]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: 341-355 (2018) - 2016
- [j14]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): 491-517 (2016) - [j13]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): 127-146 (2016) - [j12]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): 1036-1045 (2016) - [c22]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: 427-438 - [c21]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: 597-608 - [c20]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: 2156-2163 - [c19]Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, César Hervás-Martínez:
Representing ordinal input variables in the context of ordinal classification. IJCNN 2016: 2174-2181 - 2015
- [j11]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: 23-33 (2015) - [j10]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): 59-67 (2015) - [c18]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: 301-311 - [c17]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: 80-91 - 2014
- [j9]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: 339-350 (2014) - [j8]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: 199-207 (2014) - [j7]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: 21-31 (2014) - [c16]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: 318-329 - 2013
- [j6]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): 1008-1015 (2013) - [j5]Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez:
Exploitation of Pairwise Class Distances for Ordinal Classification. Neural Comput. 25(9): 2450-2485 (2013) - [c15]María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez:
Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. ESANN 2013 - [c14]Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Evolutionary Ordinal Extreme Learning Machine. HAIS 2013: 500-509 - [c13]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: 270-279 - [c12]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: 613-621 - 2012
- [c11]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: 296-307 - [c10]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: 331-340 - 2011
- [j4]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): 2502-2510 (2011) - [j3]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): 1305-1317 (2011) - [j2]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): 101-116 (2011) - [c9]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: 1176-1181 - [c8]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: 1182-1187 - [c7]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: 1265-1270 - [c6]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: 96-103 - 2010
- [j1]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): 187-199 (2010) - [c5]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: 288-295 - [c4]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: 646-655 - [c3]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: 1-8 - [c2]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: 507-512 - [c1]Manuel Cruz-Ramírez, Juan Carlos Fernández, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, M. Teresa Lamata:
Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. ISDA 2010: 513-518
Coauthor Index
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