Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Browse by All Cardiff Authors

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Number of items: 21.

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.
file

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/...
file

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
file

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/...
file

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
file

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
file

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
file

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
file

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
file

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
file

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
file

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
file

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
file

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
file

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
file

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
file

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
file

This list was generated on Sat Dec 14 10:18:56 2019 GMT.