Javier Sanchez-Monedero
Research Associate
- sanchez-monederoj@cardiff.ac.uk
- Two Central Square, Central Square, Cardiff, CF10 1FS
Overview
Javier Sánchez Monedero is Research Associate at Cardiff's School of Journalism, Media and Culture and the Data Justice Lab. He joined the University of Cardiff with the European Research Council project DATAJUSTICE, directed by Lina Dencik. With a background in Computer Science, his current research aims at filling the knowledge gap between social and media researchers and technology as well as to perform technological auditing and design proposals in the intersection of intelligent information systems and social justice.
Javier has worked in several projects involving distributed systems and machine learning. His last projects were with AYRNA research group at University of Córdoba (Spain) targeting problems of biomedicine, renewable energy and climatology among others.
He is the author of several journal and conference papers with contributions in evolutionary computation, artificial neural networks, kernel methods and ordinal regression models. He is co-authored of free (as in freedom) scientific software ORCA with Pedro A. Gutiérrez and María Pérez-Ortiz. He holds a PhD. in Computer Science from University of Granada and has been Associate Professor at University of Córdoba and University Loyola Andalucía.
Biography
Education and qualifications:
- 2013: PhD Computer Science. Information and Communication Technologies, University of Granada. Thesis Dissertation: ‘Challenges in ordinal classification: artificial neural networks and projection-based methods’. Available at http://www.uco.es/ayrna/publications/thesis/ThesisDissertationJSM.pdf
- 2009: Master’s degree on Multimedia Technologies, University of Granada.
- 2008: BsC+MsC, Computer Engineer, University of Granada.
- 2004: BsC, Computer Engineer, University of Córdoba.
Career overview:
- 2018-2018: Associate Professor, University of Córdoba (Spain)
- 2015-2017: Associate Professor, Universidad Loyola Andalucía (Spain)
- 2014-2015: Postdoc fellow, Universidad de Córdoba (Spain)
- 2010-2014: Researcher (PhD. grant), Universidad de Córdoba (Spain)
- 2008-2009: Researcher, Universidad de Granada/Real-Time Innovations (Spain)
- 2007-2008: Research Intern, Real-Time Innovations (California, USA)
- 2007-2007: Research Student, Universidad de Granada (Spain)
Visiting researcher at:
- 2017 Department of Meteorology, University of Reading
- 2016 School of Computer Science, University of Birmingham
- 2011 School of Computer Science, University of Birmingham
Publications
2022
- Dencik, L. and Sanchez-Monedero, J. 2022. Justicia de datos. Revista Latinoamericana de Economía y Sociedad Digital (10.53857/kynu7699)
- Sanchez-Monedero, J. and Dencik, L. 2022. The politics of deceptive borders: 'biomarkers of deceit' and the case of iBorderCtrl. Information, Communication and Society 25(3), pp. 413-430. (10.1080/1369118X.2020.1792530)
2020
- Sanchez-Monedero, J., Dencik, L. and Edwards, L. 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.
2019
- Sanchez-Monedero, J., Gutierrez, P. A. and Perez-Ortiz, M. 2019. ORCA: A Matlab/Octave toolbox for ordinal regression. Journal of Machine Learning Research 20(125), pp. 1-5.
- Sanchez-Monedero, J. and Dencik, L. 2019. The datafication of the workplace. Working paper. Cardiff: datajusticeproject.net. Available at: https://datajusticeproject.net/wp-content/uploads/sites/30/2019/05/Report-The-datafication-of-the-workplace.pdf
- Pérez-Ortiz, M., Durán-Rosal, A., Gutiérrez, P., Sanchez-Monedero, J., 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)
2018
- Sanchez-Monedero, J. and Dencik, L. 2018. How to (partially) evaluate automated decision systems. Working paper. datajusticeproject.net. Available at: https://datajusticeproject.net/wp-content/uploads/sites/30/2018/12/WP-How-to-evaluate-automated-decision-systems.pdf
- Sanchez-Monedero, J., Pérez-Ortiz, M., Sáez, A., Gutiérrez, P. A. and Hervás-Martínez, C. 2018. Partial order label decomposition approaches for melanoma diagnosis. Applied Soft Computing 64, pp. 341-355. (10.1016/j.asoc.2017.11.042)
- Sanchez-Monedero, J. 2018. The datafication of borders and management of refugees in the context of Europe. datajusticeproject.net. Available at: https://datajusticeproject.net/wp-content/uploads/sites/30/2018/11/wp-refugees-borders.pdf
2016
- Perez-Ortiz, M., Saez, A., Sanchez-Monedero, J., 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 20162016 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, J. 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 20162016 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, J. 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)
- Sanchez-Monedero, J., Saez, A., Perez-Ortiz, M., Antonio Gutierrez, P. and Hervas-Martinez, C. 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 2016Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings, Vol. 9648. Lecture Notes in Computer Science Cham: Springer pp. 427-438., (10.1007/978-3-319-32034-2_36)
- Perez-Ortiz, M., Torres-Jimenez, M., Antonio Gutierrez, P., Sanchez-Monedero, J. and Hervas-Martinez, C. 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 Presented at Martinez-Alvarez, F. et al. eds.Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings, Vol. 9648. Lecture Notes in Computer Science Cham: Springer pp. 597-608., (10.1007/978-3-319-32034-2_50)
- Saez, A., Sanchez-Monedero, J., Antonio Gutierrez, P. and Hervas-Martinez, C. 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)
- Antonio Gutierrez, P., Perez-Ortiz, M., Sanchez-Monedero, J., Fernandez-Navarro, F. and Hervas-Martinez, C. 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)
2015
- Pérez-Ortiz, M., Gutiérrez, P., Cruz-Ramírez, M., Sanchez-Monedero, J. 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)
2014
- Sanchez-Monedero, J., Campoy-Muñoz, P., Gutiérrez, P. 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)
- Sanchez-Monedero, J., Salcedo-Sanz, S., Gutiérrez, P., 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)
- Cruz-Ramírez, M., Hervás-Martínez, C., Sanchez-Monedero, J. and Gutiérrez, P. 2014. Metrics to guide a multi-objective evolutionary algorithm for ordinal classification. Neurocomputing 135, pp. 21-31. (10.1016/j.neucom.2013.05.058)
2013
- Gutiérrez, P., Salcedo-Sanz, S., Hervás-Martínez, C., Carro-Calvo, L., Sanchez-Monedero, J. 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)
- Sanchez-Monedero, J., Gutiérrez, P. A., Tio, P. 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)
2011
- Sanchez-Monedero, J., Gutiérrez, P. 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), article number: 101. (10.1007/s11063-011-9186-9)
- Fernández-Navarro, F., Hervás-Martínez, C., Sanchez-Monedero, J. and Gutiérrez, P. A. 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, J., Povedano-Molina, J., Lopez-Vega, J. M. and Lopez-Soler, J. 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)