Javier Sánchez-Monedero
Javier Sánchez-Monedero
Distinguished Researcher, University of Córdoba
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Ordinal regression methods: survey and experimental study
PA Gutiérrez, M Perez-Ortiz, J Sanchez-Monedero, F Fernandez-Navarro, ...
IEEE Transactions on Knowledge and Data Engineering 28 (1), 127-146, 2015
Metrics to guide a multi-objective evolutionary algorithm for ordinal classification
M Cruz-Ramírez, C Hervás-Martínez, J Sánchez-Monedero, PA Gutiérrez
Neurocomputing 135, 21-31, 2014
MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks
F Fernández-Navarro, C Hervás-Martínez, J Sanchez-Monedero, ...
Neurocomputing 74 (16), 2502-2510, 2011
What does it mean to'solve'the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems
J Sánchez-Monedero, L Dencik, L Edwards
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
A population-based controlled experiment assessing the epidemiological impact of digital contact tracing
P Rodríguez, S Graña, EE Alvarez-León, M Battaglini, FJ Darias, ...
Nature communications 12 (1), 1-6, 2021
Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images
A Sáez, J Sánchez-Monedero, PA Gutiérrez, C Hervás-Martínez
IEEE transactions on medical imaging 35 (4), 1036-1045, 2015
Exploitation of pairwise class distances for ordinal classification
J Sánchez-Monedero, PA Gutiérrez, P Tiňo, C Hervás-Martínez
Neural computation 25 (9), 2450-2485, 2013
Bloom filter-based discovery protocol for DDS middleware
J Sanchez-Monedero, J Povedano-Molina, JM Lopez-Vega, ...
Journal of Parallel and Distributed Computing 71 (10), 1305-1317, 2011
An experimental study of different ordinal regression methods and measures
PA Gutiérrez, M Pérez-Ortiz, F Fernández-Navarro, J Sánchez-Monedero, ...
International Conference on Hybrid Artificial Intelligence Systems, 296-307, 2012
Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal–ordinal support vector classifier
J Sanchez-Monedero, S Salcedo-Sanz, PA Gutiérrez, C Casanova-Mateo, ...
Engineering Applications of Artificial Intelligence 34, 199-207, 2014
A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm
M Cruz-Ramírez, C Hervás-Martínez, J Sánchez-Monedero, PA Gutiérrez
2011 11th International Conference on Intelligent Systems Design and …, 2011
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology
M Cruz-Ramírez, J Sánchez-Monedero, F Fernández-Navarro, ...
Evolutionary intelligence 3 (3), 187-199, 2010
Weighting efficient accuracy and minimum sensitivity for evolving multi-class classifiers
J Sánchez-Monedero, PA Gutiérrez, F Fernández-Navarro, ...
Neural Processing Letters 34 (2), 101-116, 2011
The datafication of the workplace
J Sánchez-Monedero, L Dencik
datajusticeproject. net, 2019
The politics of deceptive borders:‘biomarkers of deceit’and the case of iBorderCtrl
J Sánchez-Monedero, L Dencik
Information, Communication & Society 25 (3), 413-430, 2022
On the suitability of Extreme Learning Machine for gene classification using feature selection
J Sánchez-Monedero, M Cruz-Ramírez, F Fernández-Navarro, ...
2010 10th International Conference on Intelligent Systems Design and …, 2010
Ordinal and nominal classification of wind speed from synoptic pressurepatterns
PA Gutiérrez, S Salcedo-Sanz, C Hervás-Martínez, L Carro-Calvo, ...
Engineering Applications of Artificial Intelligence 26 (3), 1008-1015, 2013
Tackling the ordinal and imbalance nature of a melanoma image classification problem
M Pérez-Ortiz, A Sáez, J Sánchez-Monedero, PA Gutiérrez, ...
2016 International Joint Conference on Neural Networks (IJCNN), 2156-2163, 2016
An n-spheres based synthetic data generator for supervised classification
J Sánchez-Monedero, PA Gutiérrez, M Pérez-Ortiz, C Hervás-Martínez
International Work-Conference on Artificial Neural Networks, 613-621, 2013
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees
A Valdivia, J Sánchez-Monedero, J Casillas
International Journal of Intelligent Systems, 2020
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