Javier Sánchez-Monedero

发表

What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems pdf

Javier Sánchez-Monedero, Lina Dencik, Lilian Edwards, 2019, ArXiv.

Classification of Melanoma Presence and Thickness Based on Computational Image Analysis

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, HAIS.

ORCA: A Matlab/Octave Toolbox for Ordinal Regression

María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, 2019, J. Mach. Learn. Res..

On the use of evolutionary time series analysis for segmenting paleoclimate data

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2017, Neurocomputing.

Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, HAIS.

An Experimental Study of Different Ordinal Regression Methods and Measures

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2012, HAIS.

Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2014, Eng. Appl. Artif. Intell..

Kernelising the Proportional Odds Model through kernel learning techniques

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2015, Neurocomputing.

Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers

Pedro Antonio Gutiérrez, César Hervás-Martínez, María Teresa Lamata, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

How to (partially) evaluate automated decision systems

Javier Sánchez-Monedero, Lina Dencik, J. Sánchez-Monedero, 2018 .

Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification

César Hervás-Martínez, Manuel Cruz-Ramírez, Francisco J. Martínez-Estudillo, 2010, HAIS.

Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front

César Hervás-Martínez, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, 2011, 2011 IEEE Symposium on Differential Evolution (SDE).

Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2015, IWANN.

Representing ordinal input variables in the context of ordinal classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Exploitation of Pairwise Class Distances for Ordinal Classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Peter Tiño, 2013, Neural Computation.

Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neural Processing Letters.

Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2013, IWANN.

Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2013, ESANN.

On the suitability of Extreme Learning Machine for gene classification using feature selection

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions

César Hervás-Martínez, Manuel Cruz-Ramírez, Juan Carlos Fernández, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency

César Hervás-Martínez, Javier Sánchez-Monedero, Mercedes Torres, 2015, Progress in Artificial Intelligence.

An n-Spheres Based Synthetic Data Generator for Supervised Classification

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2013, IWANN.

Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images

Pedro Antonio Gutiérrez, César Hervás-Martínez, Aurora Sáez, 2016, IEEE Transactions on Medical Imaging.

Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology

César Hervás-Martínez, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, 2010, IEA/AIE.

Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2015, CAEPIA.

Approaching System Administration as a Group Project in Computer Engineering Higher Education

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2012, CISIS/ICEUTE/SOCO Special Sessions.

A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2016, Neural Processing Letters.

A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2014, HAIS.

Partial order label decomposition approaches for melanoma diagnosis

Pedro Antonio Gutiérrez, César Hervás-Martínez, Aurora Sáez, 2018, Appl. Soft Comput..

Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology

César Hervás-Martínez, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, 2010, Evol. Intell..

MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neurocomputing.

Tackling the ordinal and imbalance nature of a melanoma image classification problem

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Numerical variable reconstruction from ordinal categories based on probability distributions

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Metrics to guide a multi-objective evolutionary algorithm for ordinal classification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2014, Neurocomputing.

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, 2020, FAT*.

Evolutionary Ordinal Extreme Learning Machine

Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Sánchez-Monedero, 2013, HAIS.

Ordinal and nominal classification of wind speed from synoptic pressurepatterns

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2013, Eng. Appl. Artif. Intell..

Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

The datafication of the workplace

Javier Sánchez-Monedero, Lina Dencik, Lina Dencik, 2019 .