Aláiz-Rodríguez, R.; Guerrero-Curieses, A; Cid-Sueiro, J.. "Class and Subclass Probability Re-estimation to Adapt a Classifier in the Presence of Concept Drift". Neurocomputing, Vol (74), (2011). DOI: https://doi.org/10.1016/j.neucom.2011.03.019.
Publications
Guerrero-Curieses, A; Aláiz-Rodríguez, R.; Cid-Sueiro, J.. "Cost-sensitive and modular land-cover classification based on posterior probability estimates". Internacional Journal of Remote Sensing, Vol (30), (2009).
Santos-Rodríguez, R.; Guerrero-Curieses, A; Aláiz-Rodríguez, R.; Cid-Sueiro, J.. "Cost-Sensitive Learning Based on Bregman Divergents". Machine Learning, Vol (736), (2009).
Aláiz-Rodríguez, R.; Guerrero-Curieses, A; Cid-Sueiro, J.. "Minimax regret classifier for imprecise class distributions". Journal of Machine Learning Research, Vol (8), (2007).
Aláiz-Rodríguez, R.; Arroyo-Valle, R.; Guerrero-Curieses, A; Cid-Sueiro, J.. "Q-Probabilistic Routing in Wireless Sensor Networks". In: IEEE Third International Conference on Intelligent Sensors. Paper presented at Sensor Networks and Information Processing (ISSNIP) 2007: IEEE Proceedings., 2007.
Guerrero-Curieses, A; Aláiz-Rodríguez, R.; Cid-Sueiro, J.. "Loss functions to combine learning and decision in multiclass problems". Neurocomputing, Vol (69), (2005).
Aláiz-Rodríguez, R.; Guerrero-Curieses, A; Cid-Sueiro, J.. "Minimax classifiers based on Neural Networks". Pattern Recognition, Vol (38), (2005).
Guerrero-Curieses, A; Cid-Sueiro, J.; Aláiz-Rodríguez, R.; Figueiras-Vidal, A. R.. "Local Estimation of Posterior Class Probabilities to Minimize Classification Errors". IEEE Transactions on Neural Networks, Vol (15 p.p. 309-317), (2004).
Aláiz-Rodríguez, R.; Cid-Sueiro, J.. "A discussion of Strategies for training minimax Classifiers". In: Proceedings of the International Conference Learning'02 (CD-ROM ). Paper presented at International Conference Learning'02 (CD-ROM ), 2002.
Aláiz-Rodríguez, R.; Cid-Sueiro, J.. "Strategies for training classifiers under unknown priors". In: Proceedings of IEEE International Workshop on Neural Networks For Signal Processing XII. Paper presented at IEEE Press, 2002. pp. 249-258.