Couso, I. ., & Sánchez, L. . (2014). Harnessing the information contained in low-quality data sources. Int. J. Approx. Reasoning, 55, 1485-1486.
Inés Couso
First name
Inés
Last name
Couso
2014
Martínez, A. ., Sánchez, L. ., & Couso, I. . (2014). Interval-valued Blind Source Separation Applied to AI-based Prognostic Fault Detection of Aircraft Engines. Journal of Multiple-Valued Logic and Soft Computing, 22, 151-166. (Original work published)
Otero, J. ., Suárez, M. D. R., Palacios, A. M., Couso, I. ., & Sánchez, L. . (2014). Selecting the Most Informative Inputs in Modelling Problems with Vague Data Applied to the Search of Informative Code Metrics for Continuous Assessment in Computer Science Online Courses (C. . Cornelis, M. . Kryszkiewicz, D. . Ślȩzak, E. M. Ruiz, R. . Bello, & L. . Shang, Eds.). Cham: Springer International Publishing.
Couso, I. ., Garrido, L. ., & Sánchez, L. . (2014). The notion of roughness of a fuzzy set. Fuzzy Sets and Systems, 249, 114-127. https://doi.org/10.1016/j.fss.2014.02.013
Sánchez, L. ., Couso, I. ., & González, M. . (2014). A design methodology for semi-physical fuzzy models applied to the dynamic characterization of LiFePO4 batteries. Applied Soft Computing, 14, 269-288. https://doi.org/10.1016/j.asoc.2013.03.020
Otero, J. V., Palacios, A. M., Suárez, R. ., Junco, L. ., Couso, I. ., & Sánchez, L. . (2014). A Procedure for Extending Input Selection Algorithms to Low Quality Data in Modelling Problems with Application to the Automatic Grading of Uploaded Assignments. Presented at the.
2013
Couso, I. ., Garrido, L. ., & Sánchez, L. . (2013). Similarity and dissimilarity measures between fuzzy sets: A formal relational study. Inf. Sci., 229, 122-141.
Sánchez, L. ., Couso, I. ., Palacios, A. M., & Palacios, J. L. (2013). A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotorblade leading edge materials. Mechanical Systems and Signal Processing, 37, 76-91. https://doi.org/10.1016/j.ymssp.2012.02.009 (Original work published)
2012
Palacios, A. M., Sánchez, L. ., & Couso, I. . (2012). COMBINING ADABOOST WITH PREPROCESSING ALGORITHMS FOR EXTRACTING FUZZY RULES FROM LOW QUALITY DATA IN POSSIBLY IMBALANCED PROBLEMS. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20, 51-71. https://doi.org/10.1142/S0218488512400156
2011
Palacios, A. M., Sánchez, L. ., & Couso, I. . (2011). Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems. Multiple-Valued Logic and Soft Computing, 17, 207-228. (Original work published)