J. Díez, O. Luaces, and A. Bahamonde, “Realimentación automática en evaluación por pares de respuestas abiertas mediante factorización de matrices”, in Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial, 2016, pp. 735–744.
O. Luaces, J. Díez, A. Alonso-Betanzos, A. Troncoso, and A. Bahamonde, “Including Content-Based Methods in Peer-Assessment of Open-Response Questions”, in Proceedings – 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015, 2016, pp. 273–279.
J. Díez, O. Luaces, A. Alonso- Betanzos, A. Troncoso, and A. Bahamonde. “Peer assessment in MOOCs using preference learning via matrix factorization”. In Procs. of the NIPS Workshop on Data Driven Education, 2013.
G. Lastra, O. Luaces, J.R. Quevedo, and A. Bahamonde. “Graphical feature selection for multilabel classification tasks”. In João Gama, Elizabeth Bradley, and Jaakko Hollmén, editors, Advances in Intelligent Data Analysis X, volume 7014 of Lecture Notes in Computer Science, pages 246–257 (Procs. of IDA ’11, Oporto). Springer Berlin / Heidelberg, 2011.
Quevedo, J.R., Montañés, E., Luaces, O., and del Coz, J.J. “Adapting decision dags for multipartite ranking”. In José Balcázar, Francesco Bonchi, Aristides Gionis, and Michèle Sebag, editors, Machine Learning and Knowledge Discovery in Databases, volume 6323 of Lecture Notes in Computer Science, (Procs. of the ECML-PKDD ’10), pages 115–130. Springer Berlin / Heidelberg, 2010.
Luaces, O., Rodrigues, L. H. A., Alves-Meira, C. A., Quevedo, J. R., and Bahamonde, A. (2010). “Viability of an Alarm Predictor for Coffee Rust Disease Using Interval Regression”. In García-Pedrajas, N., Fyfe, C., and Herrera, F., editors, Proceedings of the 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE ’10), volume II of LNAI 6097, pages 337–346. Springer.
Díez, J., del Coz, J., Bahamonde, A., and Luaces, O. (2009). Soft margin trees. In Machine Learning and Knowledge Discovery in Databases (Procs. of the ECML-PKDD ’09), pages 302–314.
A. Bahamonde, J. Alonso, J. J. del Coz, J. Dìez, J. R. Quevedo, and O. Luaces. “Prediction and inheritance of phenotypes”, in Proceedings of IWINAC-2009, LNCS 5601, pages 275 –284 , Santiago de Compostela, Spain, 2009.
J. Alonso, J. J. del Coz, J. Díez, O. Luaces, and A. Bahamonde. “Learning to predict one or more ranks in ordinal regression tasks”. In W. Daelemans, B. Goethals, and K. Morik, editors, Machine Learning and Knowledge Discovery in Databases (Procs. of the ECML-PKDD ’08), volume 5211 of LNAI, pages 39–54. Springer, 2008.
O. Luaces, J. R. Quevedo, F. Taboada, G. M. Albaiceta, and A. Bahamonde, “Prediction of probability of survival in critically ill patients optimizing the Area Under the ROC Curve,” in Proceedings of the IJCAI ’07, (Hyderabad, India), pp. 956–961, January 2007.
O. Luaces, F. Taboada, G. M. Albaiceta, and A. Bahamonde, “The weight of variable groups for the prediction of probability of survival in ICU patients,” in Procs. of the Workshop in Intelligent Data Analysis in Biomedicine and Pharmacology (IDAMAP), (Amsterdam, The Netherlands), pp. 47–52, July 2007.
J.J. del Coz, G. F. Bayón, J. Díez, O. Luaces, A. Bahamonde, and C. Sañudo, “Trait selection for assessing beef meat quality using non-linear SVM,” in Advances in Neural Information Processing Systems 17 (NIPS ’04) (L. K. Saul, Y. Weiss, and L. Bottou, eds.), (Cambridge, MA), pp. 321–328, MIT Press, 2005.
A. Bahamonde, G. F. Bayón, J. Díez, J. R. Quevedo, O. Luaces, J. J. del Coz, J. Alonso, and F. Goyache, “Feature subset selection for learning preferences: A case study,” in Proceedings of the International Conference on Machine Learning (ICML ’04) (R. Greiner and D. Schuurmans, eds.), (Banff, Alberta (Canada)), pp. 49–56, July 2004.
[12] J. Díez, G. F. Bayón, J. R. Quevedo, J. J. del Coz, O. Luaces, J. Alonso, and A. Bahamonde, “Discovering relevancies in very difficult regression problems: applications to sensory data analysis,” in Proceedings of the European Conference on Artificial Intelligence (ECAI ’04), (Valencia, Spain), 2004.
O. Luaces, G. F. Bayón, J. R. Quevedo, J. Díez, J. J. del Coz, and A. Bahamonde, “Analyzing sensory data using non-linear preference learning with feature subset selection,” in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD ’04) (J. F. Boulicaut, F. Esposito, F. Giannotti, and D. Pedreschi, eds.), (Pisa, Italy), pp. 286–297, 2004.
G. Bayón, J. Díez, O. Luaces, J. Quevedo, J. Alonso, A. Bahamonde, and J. J. del Coz, “Valoración de preferencias mediante el aprendizaje de polinomios,” in Actas de CAEPIA-TTIA ’03, vol. I, (San Sebastián, España), pp. 93–96, Universidad del País Vasco, AEPIA, 11 al 14 de Noviembre 2003. ISBN: 84-8373-564-4.
J. Díez, J. del Coz, O. Luaces, and A. Bahamonde, “A clustering algorithm to find groups with homogeneous preferences,” in Procs. of the ACM SIGIR, (Toronto, Canada), August 2003.
[8] J. Díez, J. del Coz, O. Luaces, F. Goyache, J. Alonso, A. Peña, and A. Bahamonde, “Learning to assess from pair-wise comparisons,” in Proceedings of the 8 Iberoamerican Conference on Artificial Intelligence (IBERAMIA), vol. 2527 of Lecture Notes in Artificial Intelligence, (Sevilla, Spain), pp. 481–490, Springer-Verlag, 2002.
M. Vázquez, M. Nuevo, J. Ranilla, O. Luaces, J. del Coz, J. Quevedo, F. González, J. Alonso, and A. Bahamonde, “Un sistema inteligente para la explicación y control del rendimiento de las cubas electrolíticas de zinc,” in Actas de CAEPIA-TTIA ’01, vol. II, pp. 1207–1216, 2001.
J. Díez, F. Goyache, J. Alonso, J. del Coz, J. Quevedo, S. López, J. Ranilla, O. Luaces, and A. Bahamonde, “Utilización de técnicas de inteligencia artificial en la clasificación de canales bovinas,” in Actas de CAEPIA TTIA 2001, vol. II, pp. 1229–1238, 2001.
A. Bahamonde, F. Goyache, J. del Coz, J. Quevedo, S. López, J. Alonso, J. Ranilla, O. Luaces, and J. Díez, “La Inteligencia Artificial en la calificación de canales,” in Libro de ponencias del I Congreso Nacional de la Carne (Eurocarne, ed.), (Madrid), pp. 95–110, febrero 2001. ISBN 84-930010-6-6.
O. Luaces, J. J. del Coz, J. R. Quevedo, J. Alonso, J. Ranilla, and A. Bahamonde, “Autonomous clustering for machine learning,” in Proceedings of the International Work-Conference on Artificial and Natural Neural Networks, IWANN ’99, vol. 1606 of Lecture Notes in Computer Science, (Alicante, Spain), pp. 497–506, Springer-Verlag, 1999.
O. Luaces and A. Bahamonde, “Aprendizaje de la similitud entre casos con valores discretos y numéricos,” in Actas de la VIII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA-99, vol. I, pp. 150–157, AEPIA/Dpto. Informática, Inteligencia Artificial y Electrónica de la Universidad de Murcia, Noviembre 1999.
J. del Coz, O. Luaces, J. Quevedo, J. Alonso, J. Ranilla, and A. Bahamonde, “Self-organizing cases to find paradigms,” in Proceedings of the International Work-Conference on Artificial and Natural Neural Networks, IWANN ’99, vol. 1606 of Lecture Notes in Computer Science, pp. 527–536, Springer-Verlag, Junio 1999.
O. Luaces, J. Alonso, E. de la Cal, J. Ranilla, and A. Bahamonde, “Machine learning usefulness relies on accuracy and self-maintenance,” in Proceedings of the International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, vol. 1416 of Lecture Notes in Artificial Intelligence, pp. 448–457, Springer-Verlag, 1998.