Juan José del Coz Velasco

 
 
 

Artificial Intelligence Center

University of Oviedo at Gijón

33204 - Gijón (Spain)

Tenured Associate Professor
Computer Science Department - University of Oviedo

room: Ed. Dept. 1.1.16
email: juanjo at uniovi.es
phone: +34 985 18 25 01
fax: +34 985 18 19 86
facebook/twitter/skype: juanjodelcoz

Research

Topics: Machine Learning, Quantification, Dataset-shift problems, Multi-label learning, Applications

Books

J.J. del Coz and O. Luaces: Aprendizaje Automático: conceptos básicos y avanzados, ch. Métodos Kernel y Máquinas de Vectores Soporte, pp. 163–200. Pearson, 2006.

Journal Papers

Pablo Pérez-Gállego, Alberto Castaño, José Ramón Quevedo, Juan José del Coz: Dynamic Ensemble Selection for Quantification Tasks. Information Fusion, vol 45, pp. 1-15. 2019. http://dx.doi.org/10.1016/j.inffus.2018.01.001

Pang, S., del Coz, J.J., Yu, Z., Luaces, O., Díez, J.: Deep learning and preference learning for object tracking: A combined approach. Neural Processing Letters vol. 47(3), pp. 859-876, 2018. http://dx.doi.org/10.1007/s11063-017-9720-5

González, P., Castaño, A., Chawla, N., del Coz, J.J.: A review on quantification learning. ACM Computing Surveys, , vol. 50 (5), pp. 74:1--74:40, 2017. http://dx.doi.org/10.1145/3117807

Mena, D., Montañés, E., Quevedo, J.R., del Coz, J.J.: A heuristic in A* for inference in nonlinear Probabilistic Classifier Chains. Knowledge-Based Systems, vol. 126, pp. 78–90. 2017. http://dx.doi.org/10.1016/j.knosys.2017.03.015

Pang, S., del Coz, J.J., Yu, Z., Luaces, O., Díez, J.: Deep learning to frame objects for visual target tracking. Engineering Applications of Artificial Intelligence vol. 65, pp. 406–420. 2017. http://dx.doi.org/10.1016/j.engappai.2017.08.010

Pérez-Gallego, P., Castaño, A., Quevedo, J.R., del Coz, J.J.:  New Static and Dynamic Quantifier Selection Measures. Technical Report. 2017.

Mena, D., Montañés, E., Quevedo, J.R., del Coz, J.J.: A family of admissible heuristics for A* to perform inference in probabilistic classifier chains. Machine Learning. 106(1), pp 143–169. 2017. http://dx.doi.org/10.1007/s10994-016-5593-5

Pérez-Gallego, P., Quevedo, J.R., del Coz, J.J.: Using ensembles for problems with characterizable changes in data distribution: A case study on quantification. Information Fusion, vol 34, pp. 87–100. 2017. http://dx.doi.org/10.1016/j.inffus.2016.07.001

González, P., Díez, J., Chawla, N., del Coz, J.J.: Why is quantification an interesting learning problem? Progress in Artificial Intelligence, vol. 6(1), pp. 53-58, 2017. http://dx.doi.org/10.1007/s13748-016-0103-3   Springer Nature link

González, P., Álvarez, E., Díez, J., Lopez-Urrutia, A., del Coz, J.J.: Validation methods for plankton image classification systems. Limnology and Oceanography: Methods, vol. 15 (3), pp. 221–237, 2017. http://dx.doi.org/10.1002/lom3.10151

Mena, D., Montañés, E., Quevedo, J.R., del Coz, J.J.: An overview of Inference Methods in Probabilistic Classifier Chains for Multi-label classification. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, vol 6, pp. 215-230. 2016. http://dx.doi.org/10.1002/widm.1185

Barranquero, J., Díez, J., del Coz, J.J.: Quantification-oriented learning based on reliable classifiers. Pattern Recognition, vol. 48(2), pp. 591-604. 2015. http://dx.doi.org/10.1016/j.patcog.2014.07.032

Díez, J., del Coz, J.J., Luaces, O., Bahamonde, A.: Using Tensor Products to Detect Unconditional Label Dependence in Multilabel Classifications. Information Sciences, vol. 329, pp. 20-32. 2016. http://dx.doi.org/10.1016/j.ins.2015.08.055

deAndrés-Galiana, E.J., Fernández-Martínez, J.L., Luaces, O., del Coz, J.J., Huergo-Zapico,  L., Acebes-Huerta, A., González, S., González-Rodríguez, A.P.: Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems. Journal of Biomedical Informatics vol. 60 pp. 342-51. 2016.  http://dx.doi.org/10.1016/j.jbi.2016.02.017

de Andrés-Galiana, E.J., Fernández-Martínez, J.L., Luaces, O., del Coz, J.J., et. al.: On the prediction of Hodgkin Lymphoma treatment response. Clinical and Translational Oncology. vol 17(8), pp 612-619. 2015. http://dx.doi.org/10.1007/s12094-015-1285-z

Díez, J., Luaces, O., del Coz, J.J., Bahamonde, A.: Optimizing Different Loss Functions in Multilabel Classifications. Progress in Artificial Intelligence, vol 3(2) pp. 107-118. 2015. http://dx.doi.org/10.1007/s13748-014-0060-7

Montañes, E., Senge, R., Barranquero, J., Quevedo, J.R., del Coz, J.J., Hüllermeier, E.: Dependent binary relevance models for multi-label classification. Pattern Recognition, vol. 47(3), pp. 1494-1508. 2014. http://dx.doi.org/10.1016/j.patcog.2013.09.029

González, P., Álvarez, E., Barranquero, J., Díez, J., Gonzalez-Quiros, R., Nogueira, E.,  Lopez-Urrutia, A., del Coz, J.J.: Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation. IEEE, Transactions on Neural Networks and Learning Systems, vol. 24(11), pp. 1901-1905. 2013. http://dx.doi.org/10.1109/TNNLS.2013.2271535

Barranquero, J., González, P., Díez, J., del Coz, J.J.: On the study of nearest neighbor algorithms for prevalence estimation. Pattern Recognition, vol. 46(2), pp. 472-482. 2013. http://dx.doi.org/10.1016/j.patcog.2012.07.022

Montañés, E., Barranquero, J., Díez, J., del Coz, J.J.: Enhanced directed binary trees for multi-class classification, Information Sciences, vol. 223, pp. 42-55, 2013. http://dx.doi.org/10.1016/j.ins.2012.10.011

Piles, M., Díez, J., del Coz, J.J., Montañés, E., Quevedo, J.R., Ramon, J.,  Rafel, O., López-Béjar, M., Tusell, L.: Predicting fertility from seminal traits: Performance of several parametric and non-parametric procedures. Livestock Science, vol. 155(1), pp. 137–147, 2013. http://dx.doi.org/10.1016/j.livsci.2013.03.019

del Coz, J.J., Díez, J., Bahamonde, A., Goyache, F.: Learning data structure from classes: a case study applied to population genetics. Information Sciences, vol. 193, pp. 22-35, 2012. http://dx.doi.org/10.1016/j.ins.2011.12.022

Luaces, O., Barranquero, J., Díez, J., del Coz, J.J., Bahamonde, A.: Binary relevance efficacy for multilabel classification. Progress in Artificial Intelligence, vol. 1(4), pp. 303-313. 2012. http://dx.doi.org/10.1007/s13748-012-0030-x

Díez, J.; del Coz, J.J.; Bahamonde, A.: A semi-dependent decomposition approach to learn hierarchical classifiers. Pattern Recognition, vol. 43(11), pp. 3795-3804, 2010. http://dx.doi.org/10.1016/j.patcog.2010.06.001

Luaces, O.; Quevedo, J.R.; Enciso, M.; Díez, J.; del Coz, J.J.; Bahamonde, A.: Explaining the Genetic Basis of Complex Quantitative Traits through Prediction Models. Journal of Computational Biology, vol. 17(12), pp. 1711-1723. 2010. http://dx.doi.org/10.1089/cmb.2009.0161

del Coz, J.J.; Díez, J.; Bahamonde, A.: Learning nondeterministic classifiers. Journal of Machine Learning Research, vol. 10, pp. 2273-2293. 2009. 

Díez, J.; del Coz, J. J.; Luaces, O.; Bahamonde, A.: Clustering people according to their preference criteria. Expert Systems with Applications, vol. 34(2) 2008, pp. 1274-1284. http://dx.doi.org/10.1016/j.eswa.2006.12.005 

Bahamonde, A.; Díez, J.; Quevedo, J.R.; Luaces, O.; del Coz, J. J.: How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM). Trends in Food Science & Technology, vol. 18(1), pp. 20-28. 2007. http://dx.doi.org/10.1016/j.tifs.2006.07.014 

Lorca, P.; Andrés, J. de; Díez, J.; del Coz, J.J.; Bahamonde, A.: El análisis de preferencias: un nuevo enfoque para el estudio de la rentabilidad empresarial. Investigaciones económicas, vol. 31(2) pp. 221-264. 2007.

Díez, J.; del Coz, J. J.; Bahamonde, A.; Sañudo, C.; Olleta, J. L.; Macie, S.; Campo, M. M.; Panea, B.; Albertí, P.: Indentifying market segments in beef: Breed, slaughter, weight and ageing time implications. Meat Science, vol. 74(4), pp. 667-675. 2006. http://dx.doi.org/10.1016/j.meatsci.2006.05.017 

Andrés, J. de; Lorca, P.; Bahamonde, A.; del Coz, J.J.: The Use of Machine Learning Algorithms for the Study of Business Profitability. The International Journal of Digital Accounting Research, vol. 4(8), 2004.

Díez, J.; Bahamonde, A.; Alonso, J.; López, S.; del Coz, J. J.; Quevedo, J. R.; Ranilla, J.; Luaces, O.; Álvarez, I.; Royo, L. J.; Goyache, F.: Artificial Intelligence techniques point out differences in classification performance between light and standard bovine carcasses. Meat Science, vol. 64(3), pp. 249-258. 2003. http://dx.doi.org/10.1016/S0309-1740(02)00185-7 

Goyache, F.; Bahamonde, A.; Alonso, J.; López, S.; del Coz, J. J.; Quevedo, J. R.; Ranilla, J.; Luaces, O.; Álvarez, I.; Royo, L. J.; Díez, J.: The usefulness of Artificial Intelligence techniques to assess subjective quality of products in the food industry. Trends in Food Science and Technology, vol. 12(10), pp. 370-381. 2001. http://dx.doi.org/10.1016/S0924-2244(02)00010-9 

Goyache, F.; del Coz, J. J.; Quevedo, J. R.; López, S.; Alonso, J.; Ranilla, J.; Luaces, O.; Álvarez, I.; Bahamonde, A.: Using artificial intelligence to design and implement a morphological assessment system in beef cattle. Animal Science, vol. 73, pp. 49-60. 2001.

Alonso, J. M.; Ribas, J.; del Coz, J. J.; Calleja, A. J.; López, E.; Rico, M.: Development of a Distributive Control Scheme for  Fluorescent Lighting Based on LonWorks Technology.  IEEE Transactions On Industrial Electronics, vol. 47(6), pp. 1253-1262. 2000. http://dx.doi.org/10.1109/41.887953

López, S.; Goyache, F.; Quevedo; J. R.; Alonso, J.; Ranilla, J.; Luaces, O.; Bahamonde, A.; del Coz, J. J.: Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles. Revista Iberoamericana de Inteligencia Artificial, ISSN 1137-3601, vol. 10, pp. 5-17. 2000.

Selected Conferences Papers

Mena, D.; Montañés, E., Quevedo, J.R., del Coz, J.J.: Using A* for Inference in Probabilistic Classifier Chains. International Joint Conferences on Artificial Intelligence 2015 (IJCAI’15). pp. 3707-3713. 2015.

Montañés, E., Quevedo, J.R., del Coz, J.J.: Aggregating independent and dependent models to learn multi-label classifiers. ECML/PKDD 2011. Lecture Notes on Artificial Intelligence, Vol., 6912 Part II, pp 484-500. Springer-Verlag, 2011. http://dx.doi.org/10.1007/978-3-642-23783-6_31

Quevedo, J.R.; Montañés, E.; Luaces, O.; del Coz, J.J.: Adapting Decision DAGs for Multipartite Ranking. European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD’2010). Proceedings, Part III. Lecture Notes in Computer Science Springer 2010. Vol. 6323, pp. 115-130. http://dx.doi.org/10.1007/978-3-642-15939-8_8

Díez, J.; del Coz, J.J.; Luaces, O.; Bahamonde, A.: Soft Margin Tress. ECML-PKDD 2009. In W. Buntine et al. editors , Machine Learning and Knowledge Discovery in Databases, Part I, LNAI 5781,pp 302-314. Springer, 2009. http://dx.doi.org/10.1007/978-3-642-04180-8_37

Alonso, J.; del Coz, J.J.; Díez, J.; Luaces, O.; Bahamonde, A.: Learning to predict one or more ranks in ordinal regression tasks. ECML-PKDD 2008. In W. Daelemans, B. Goethals, and K. Morik, editors, Machine Learning and Knowledge Discovery in Databases, volume 5211 of LNAI, pages 39–54. Springer, 2008. http://dx.doi.org/10.1007/978-3-540-87479-9_21

Díez, J.; del Coz, J. J.; Sañudo, C.; Albertí, P.; Bahamonde, A.: A Kernel Based Method for Discovering Market Segments in Beef Meat. Proceedings of the 16th European Conference on Machine Learning - 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, ECML/PKDD’2005, Porto, Portugal, pp. 462-469, 2005. http://dx.doi.org/10.1007/11564126_46

del Coz, J. J.; Bayón, G. F.; Díez, J.; Luaces, O.; Bahamonde, A.; Sañudo, C.: Trait selection for assessing beef meat quality using non-linear SVM. Proceedings of the Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004). Vancouver, British Columbia, Canada, December 13-18, 2004.

Luaces, O.; Bayón, G.F.; Quevedo, J.R.; Díez, J.; del Coz, J.J.; Bahamonde, A.: Analyzing sensory data using non-linear preference learning with feature subset selection. Proceedings of the 15th European Conference of Machine Learning, (ECML 2004). Pisa, Italia, pp. 286-297. 2004. http://dx.doi.org/10.1007/978-3-540-30115-8_28

Díez, J.; Bayón, G. F.; Quevedo, J. R.; del Coz, J. J.; Luaces, O.; Alonso, J.; Bahamonde, A.: Discovering relevancies in very difficult regression problems: applications to sensory data analysis. Proceedings of the European Conference on Artificial Intelligence (ECAI 2004), Valencia, Spain, pp. 993-994.

Bahamonde, A.; Bayón, G. F.; Díez, J.; Quevedo, J. R.; Luaces, O.; del Coz, J. J.; Alonso, J.; Goyache, F.: Feature subset selection for learning preferences: a case study. Proceedings of the 21st International Conference on Machine Learning, ICML 2004, Banff, Canada, pp. 49-56. http://dx.doi.org/10.1145/1015330.1015378

Other Conference Papers

Pérez-Gállego, P., Quevedo, J.R., del Coz, J.J.: Uso de Ensembles en Problemas con Cambios de Distribución Caracterizables. The 15th Conference of the Spanish Association for Artificial Intelligence. (CAEPIA/TTIA 2015).

Mena, D.; Montañés, E., Quevedo, J.R., del Coz, J.J.: Heurístico Exhaustivo de Profundidad Limitada para CC Probabilístico. The 15th Conference of the Spanish Association for Artificial Intelligence. (CAEPIA/TTIA 2015).

Senge, R., del Coz, J.J., Hüllermeier, E.: On the problem of error propagation in Classifier Chains for multi-Label classification. The 36th Annual Conference of the German Classification Society. (GfKl 2012) http://dx.doi.org/10.1007/978-3-319-01595-8_18

Montañés, E., Quevedo, J.R., del Coz, J.J.: Improving stacking approach for multi-label classification. The 14th Conference of the Spanish Association for Artificial Intelligence. (CAEPIA/TTIA 2011) (spanish version)

González, P.; Díez, J.; del Coz, J.J.; Álvarez, E.; González-Quirós, R.; Nogueira, E.; López-Urrutia, A.: Predicción taxonómica de muestras de microplancton usando técnicas de Aprendizaje Automático. Congreso Español de Informática (CEDI’2010). V Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA’2010).

Bahamonde, A.; Alonso, J.; del Coz, J.J.; Díez, J.; Quevedo, J. R.; Luaces, O.: Prediction and inheritance of phenotypes, in Proceedings of IWINAC-2009, pages 275-284, Santiago de Compostela, Spain, 2009.

del Coz, J. J.; Díez, J.; Bahamonde, A.; Sañudo, C.; Alfonso, M.; Berge, P.; Dransfield, E.; Stamataris, C.; Zygoyiannis, D.; Valdimarsdottir, T.; Piasentier, E.; Nute, G.; Fisher, A.: Learning the reasons why groups of consumers prefer some food products. Proceedings of the 6th Industrial Conference on Data Mining. ICMD 2006. Leipzig, Germany, July 2006, pp. 297-309. http://dx.doi.org/10.1007/11790853_24

Pérez-Priede, M.; García-Granda, S.; Puente, J.; del Coz, J. J.: Predicción de las condiciones de cristalización de proteínas aplicando técnicas de Inteligencia Artificial. Congreso Nacional de Biotecnología (BIOTEC 2004), Oviedo, Spain, 2004.

Bayón G.; Díez J.; Luaces O.; Quevedo J.R.; Alonso J.; Bahamonde A.; del Coz J. J.: Valoración de preferencias mediante el aprendizaje de polinomios. CAEPIA 2003. San Sebastián, November, 2003.

Díez J.; del Coz J. J.; Luaces O.; Bahamonde A.: A clustering algorithm to find groups with homogeneous preferences. ACM SIGIR Workshop on Implicit Measures of User Interests and Preferences. Toronto, Canada, August 1, (2003)

Díez, J.; del Coz, J. J.; Luaces, O.; Goyache, F.; Alonso, J.; Peña, A. M.; Bahamonde, A.: Learning to assess from pair-wise comparisons. Proceedings of the 8th Iberoamerican Conference on Artificial Intelligence (IBERAMIA), 2002. Sevilla, Spain. Lecture Notes in Artificial Intelligence, LNAI 2527, 481-490. 2002. http://dx.doi.org/10.1007/3-540-36131-6_49

Bahamonde, A.; Goyache, F.; del Coz, J. J.; Quevedo, J. R.; López, S.; Alonso, J.; Ranilla, J.; Luaces, O.; Díez, J.: La Inteligencia Artificial en la calificación de canales. Libro de ponencias del I Congreso Nacional de la Carne, ISBN 84-930010-6-6, Eurocarne, ed.; Madrid, 14-16 de febrero 2001; pp. 95-110. 2001.

Quevedo, J. R.; del Coz, J. J.; Díez, J.: Filtrando atributos para mejorar procesos de aprendizaje. Actas de la IX Conferencia de la Asociación Española para la Inteligencia Artificial - IV Jornadas de Transferencia Tecnológica de Inteligencia Artificial, Vol. I, pp. 103-112, 2001. 

Díez, J.; Goyache, F.; Alonso, J.; del Coz, J. J.; Quevedo, J. R.; López, S.; Ranilla, J.; Luaces, O.; Bahamonde, A.: Utilización de técnicas de Inteligencia Artificial en la clasificación de canales bovinas. Actas de la IX Conferencia de la Asociación Española para la Inteligencia Artificial - IV Jornadas de Transferencia Tecnológica de Inteligencia Artificial, Vol. II, pp. 1029-1038, 2001. 

Vázquez, M.; Nuevo, M.; Ranilla, J.; Luaces, O.; del Coz, J.J.l; Quevedo, J.R.; González, F.; Alonso, J.; Bahamonde, A.: Un sistema inteligente para la explicación y control del rendimiento de las cubas electrolíticas de zinc. Actas de la IX Conferencia de la Asociación Española para la Inteligencia Artificial - IV Jornadas de Transferencia Tecnológica de Inteligencia Artificial, Vol. II, pp. 1207-1216, 2001. 

del Coz, J. J.; Luaces, O.; Quevedo, J.R.; Alonso, J.; Ranilla, J.; & Bahamonde, A.: Self-Organizing Cases to Find Paradigms. En José Mira, Juan V. Sánchez-Andrés (eds.): Foundations and Tools for Neural Modeling. Proceedings of the International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, Alicante, Spain, June 2-4, 1999, Vol. I.; LNCS nº 1606, pp. 527-536, Springer-Verlag, Berlín, 1999. http://dx.doi.org/10.1007/10.1007/BFb0098210

Luaces, O.; del Coz, J. J.; Quevedo, J. R.; Alonso, J.; Ranilla, J.; & Bahamonde, A.: Autonomous Clustering for Machine Learning. En José Mira, Juan V. Sánchez-Andrés (eds.): Foundations and Tools for Neural Modeling. Proceedings of the International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, Alicante, Spain, June 2-4, 1999, Vol. I.; LNCS nº 1606, pp. 497-506, Springer-Verlag, Berlín, 1999. http://dx.doi.org/10.1007/10.1007/BFb0098207

del Coz, J. J.; Bahamonde, A.: Mapas Autoorganizados con atributos discretos. VIII Conferencia de la Asociación Española para la Inteligencia Artificial - III Jornadas de Transferencia Tecnológica de Inteligencia Artificial - Libro de Actas - Vol. I, pp. 117-124. Murcia, 16-19 noviembre 1999.

Alonso, J. M.; Ribas, J.; del Coz, J. J.; Calleja, A. J.; López, E.; Rico , M.: Intelligent Control System for Fluorescent Lighting Based on LonWorks Technology. IECON’98 – 24th Annual Conference of the IEEE Industrial Electronics Society, Aachen, Alemania. Septiembre 1998. 

Alonso, J. M.; Ribas, J.; del Coz, J. J.; López, E.; Calleja, A. J.; Rico , M.: Sistema de Control Distribuido para Iluminación Fluorescente Basado en Tecnología LonWorks. Seminario Anual de Automática y Electrónica Industrial (SAAEI). Septiembre 1997.


Software

CS-BSVM: an algorithm to solve multi-class problems with example dependent costs