Javier Sánchez-Monedero
Orcid: 0000-0001-8649-1709
According to our database1,
Javier Sánchez-Monedero
authored at least 45 papers
between 2010 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2022
2021
Biometric identity systems in law enforcement and the politics of (voice) recognition: The case of SiiP.
Big Data Soc., July, 2021
How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness.
Int. J. Intell. Syst., 2021
2020
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees.
CoRR, 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 FAT* '20: Conference on Fairness, 2020
2019
Neurocomputing, 2019
The politics of deceptive borders: 'biomarkers of deceit' and the case of iBorderCtrl.
CoRR, 2019
2018
Appl. Soft Comput., 2018
2016
Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images.
IEEE Trans. Medical Imaging, 2016
IEEE Trans. Knowl. Data Eng., 2016
Neural Process. Lett., 2016
Tackling the ordinal and imbalance nature of a melanoma image classification problem.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Classification of Melanoma Presence and Thickness Based on Computational Image Analysis.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
2015
Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency.
Prog. Artif. Intell., 2015
Neurocomputing, 2015
Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models.
Proceedings of the Advances in Computational Intelligence, 2015
Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models.
Proceedings of the Advances in Artificial Intelligence, 2015
2014
Metrics to guide a multi-objective evolutionary algorithm for ordinal classification.
Neurocomputing, 2014
Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier.
Eng. Appl. Artif. Intell., 2014
A guided data projection technique for classification of sovereign ratings: The case of European Union 27.
Appl. Soft Comput., 2014
Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
2013
Neural Comput., 2013
Eng. Appl. Artif. Intell., 2013
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Approaching System Administration as a Group Project in Computer Engineering Higher Education.
Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers.
Neural Process. Lett., 2011
J. Parallel Distributed Comput., 2011
MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks.
Neurocomputing, 2011
Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011
Numerical variable reconstruction from ordinal categories based on probability distributions.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 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, 2011
2010
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology.
Evol. Intell., 2010
On the suitability of Extreme Learning Machine for gene classification using feature selection.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions.
Proceedings of the International Joint Conference on Neural Networks, 2010
Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010