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Number of items: 22.

Sanchez-Monedero, Javier, Dencik, Lina and Edwards, Lilian 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. Presented at: ACM Conference on Fairness, Accountability, and Transparency (ACM FAT*), Barcelona, Spain, 27-30 January 2020.
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Sanchez-Monedero, Javier, Gutierrez, Pedro A. and Perez-Ortiz, Maria 2019. ORCA: A Matlab/Octave toolbox for ordinal regression. Journal of Machine Learning Research 20 (125) , pp. 1-5.
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Sanchez-Monedero, Javier and Dencik, Lina 2019. The datafication of the workplace. [Working Paper]. Cardiff: datajusticeproject.net. Available at: https://datajusticeproject.net/wp-content/uploads/...
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Pérez-Ortiz, M., Durán-Rosal, A.M., Gutiérrez, P.A., Sanchez-Monedero, Javier, Nikolaou, A., Fernández-Navarro, F. and Hervás-Martínez, C. 2019. On the use of evolutionary time series analysis for segmenting paleoclimate data. Neurocomputing 326 , pp. 3-14. 10.1016/j.neucom.2016.11.101
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Sanchez-Monedero, Javier and Dencik, Lina 2018. How to (partially) evaluate automated decision systems. [Working Paper]. datajusticeproject.net. Available at: https://datajusticeproject.net/wp-content/uploads/...
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Sanchez-Monedero, Javier, Pérez-Ortiz, María, Sáez, Aurora, Gutiérrez, Pedro Antonio and Hervás-Martínez, César 2018. Partial order label decomposition approaches for melanoma diagnosis. Applied Soft Computing 64 , pp. 341-355. 10.1016/j.asoc.2017.11.042
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Perez-Ortiz, M., Saez, A., Sanchez-Monedero, Javier, Gutierrez, P. A. and Hervas-Martinez, C. 2016. Tackling the ordinal and imbalance nature of a melanoma image classification problem. Presented at: 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada, 24-29 July 2016. 2016 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ: IEEE, pp. 2156-2163. 10.1109/IJCNN.2016.7727466

Gutierrez, P. A., Perez-Ortiz, M., Sanchez-Monedero, Javier and Hervas-Martinez, C. 2016. Representing ordinal input variables in the context of ordinal classification. Presented at: 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada, 24-29 July 2016. 2016 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ: IEEE, pp. 2174-2181. 10.1109/IJCNN.2016.7727468

Perez-Ortiz, M., Gutierrez, P. A., Sanchez-Monedero, Javier and Hervas-Martinez, C. 2016. A study on multi-scale kernel optimisation via centered kernel-target alignment. Neural Processing Letters 44 (2) , pp. 491-517. 10.1007/s11063-015-9471-0
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Sanchez-Monedero, Javier, Saez, Aurora, Perez-Ortiz, Maria, Antonio Gutierrez, Pedro and Hervas-Martinez, Cesar 2016. Classification of melanoma presence and thickness based on computational image analysis. Presented at: HAIS 2016: 11th International Conference on Hybrid Artificial Intelligence Systems, Seville, Spain, 18-20 April 2016. Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings. Lecture Notes in Computer Science Cham: Springer, pp. 427-438. 10.1007/978-3-319-32034-2_36

Perez-Ortiz, Maria, Torres-Jimenez, Mercedes, Antonio Gutierrez, Pedro, Sanchez-Monedero, Javier and Hervas-Martinez, Cesar 2016. Fisher score-based feature selection for ordinal classification: a social survey on subjective well-being. Presented at: HAIS 2016: 11th International Conference on Hybrid Artificial Intelligence Systems, Seville, Spain, 18-20 April 2016. Published in: Martinez-Alvarez, Francisco, Troncoso, Alicia, Quintian, Hector and Corchado, Emilio eds. Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings. Lecture Notes in Computer Science Cham: Springer, pp. 597-608. 10.1007/978-3-319-32034-2_50
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Saez, Aurora, Sanchez-Monedero, Javier, Antonio Gutierrez, Pedro and Hervas-Martinez, Cesar 2016. Machine learning methods for binary and multiclass classification of melanoma thickness From dermoscopic images. IEEE Transactions on Medical Imaging 35 (4) , pp. 1036-1045. 10.1109/TMI.2015.2506270
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Antonio Gutierrez, Pedro, Perez-Ortiz, Maria, Sanchez-Monedero, Javier, Fernandez-Navarro, Francisco and Hervas-Martinez, Cesar 2016. Ordinal regression methods: Survey and experimental study. IEEE Transactions on Knowledge and Data Engineering 28 (1) , pp. 127-146. 10.1109/TKDE.2015.2457911
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Pérez-Ortiz, M., Gutiérrez, P.A., Cruz-Ramírez, M., Sanchez-Monedero, Javier and Hervás-Martínez, C. 2015. Kernelising the proportional odds model through kernel learning techniques. Neurocomputing 164 , pp. 23-33. 10.1016/j.neucom.2014.09.085
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Sanchez-Monedero, Javier, Salcedo-Sanz, S., Gutiérrez, P.A., Casanova-Mateo, C. and Hervás-Martínez, C. 2014. Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal?ordinal support vector classifier. Engineering Applications of Artificial Intelligence 34 , pp. 199-207. 10.1016/j.engappai.2014.05.016
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Sanchez-Monedero, Javier, Campoy-Muñoz, Pilar, Gutiérrez, P.A. and Hervás-Martínez, C. 2014. A guided data projection technique for classification of sovereign ratings: The case of European Union 27. Applied Soft Computing 22 , pp. 339-350. 10.1016/j.asoc.2014.05.008
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Cruz-Ramírez, M., Hervás-Martínez, C., Sanchez-Monedero, Javier and Gutiérrez, P.A. 2014. Metrics to guide a multi-objective evolutionary algorithm for ordinal classification. Neurocomputing 135 , pp. 21-31. 10.1016/j.neucom.2013.05.058
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Gutiérrez, P.A., Salcedo-Sanz, S., Hervás-Martínez, C., Carro-Calvo, L., Sanchez-Monedero, Javier and Prieto, L. 2013. Ordinal and nominal classification of wind speed from synoptic pressure patterns. Engineering Applications of Artificial Intelligence 26 (3) , pp. 1008-1015. 10.1016/j.engappai.2012.10.018
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Sanchez-Monedero, Javier, Gutiérrez, Pedro A., Tio, Peter and Hervás-Martínez, C. 2013. Exploitation of pairwise class distances for ordinal classification. Neural Computation 25 (9) , pp. 2450-2485. 10.1162/NECO_a_00478
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Sanchez-Monedero, Javier, Gutiérrez, Pedro A., Fernández-Navarro, F. and Hervás-Martínez, C. 2011. Weighting efficient accuracy and minimum sensitivity for evolving multi-class classifiers. Neural Processing Letters 34 (2) , 101. 10.1007/s11063-011-9186-9
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Fernández-Navarro, Francisco, Hervás-Martínez, César, Sanchez-Monedero, Javier and Gutiérrez, Pedro Antonio 2011. MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks. Neurocomputing 74 (16) , pp. 2502-2510. 10.1016/j.neucom.2010.11.032

Sanchez-Monedero, Javier, Povedano-Molina, Javier, Lopez-Vega, Jose M. and Lopez-Soler, Juan M. 2011. Bloom filter-based discovery protocol for DDS middleware. Journal of parallel and distributed computing 71 (10) , pp. 1305-1317. 10.1016/j.jpdc.2011.05.001
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This list was generated on Mon Feb 17 03:55:48 2020 GMT.