A Minimum Risk Wrapper Algorithm for Genetically Selecting Imprecisely Observed Features, Applied to the Early Diagnosis of Dyslexia. - Luciano Sánchez; Ana M. Palacios; Inés Couso (HAIS, 2008)

A Baseline Learning Genetic Fuzzy Classifier Based on Low Quality Data. - Ana M. Palacios; Luciano Sánchez; Inés Couso (IFSA/EUSFLAT Conf., 2009)

A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data. - Ana M. Palacios; Luciano Sánchez; Inés Couso (HAIS, 2009)

GFS-Based Analysis of Vague Databases in High Performance Athletics. - Ana M. Palacios; Inés Couso; Luciano Sánchez (IDEAL, 2009)

Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets. - Ana M. Palacios; Luciano Sánchez; Inés Couso (Evol. Intell., 2009)

Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers. - Ana M. Palacios; Luciano Sánchez; Inés Couso (FUZZ-IEEE, 2010)

Diagnosis of dyslexia with low quality data with genetic fuzzy systems. - Ana M. Palacios; Luciano Sánchez; Inés Couso (Int. J. Approx. Reason., 2010)

Using the Adaboost algorithm for extracting fuzzy rules from low quality data: Some preliminary results. - Ana M. Palacios; Luciano Sánchez; Inés Couso (FUZZ-IEEE, 2011)

Managing stochastic algorithms cross-validation variability using an interval valued multiple comparison procedure. - José Otero; Luciano Sánchez; Ana M. Palacios; Inés Couso (ISDA, 2011)

Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data. - Ana M. Palacios; Luciano Sánchez; Inés Couso (Int. J. Approx. Reason., 2011)

Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems. - Ana M. Palacios; Luciano Sánchez; Inés Couso (J. Multiple Valued Log. Soft Comput., 2011)

Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data. - Ana M. Palacios; José Luis Palacios; Luciano Sánchez (Expert Syst. Appl., 2012)

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers. - Ana M. Palacios; Luciano Sánchez; Inés Couso (Int. J. Comput. Intell. Syst., 2012)

Boosting of Fuzzy Rules with Low Quality Data. - Ana M. Palacios; Luciano Sánchez; Inés Couso (J. Multiple Valued Log. Soft Comput., 2012)

Mining fuzzy association rules from low-quality data. - Ana M. Palacios; María José Gacto; Jesús Alcalá-Fdez (Soft Comput., 2012)

CI-LQD: A software tool for modeling and decision making with Low Quality Data. - Ana Maria Palacios; Luciano Sánchez; Inés Couso (FUZZ-IEEE, 2013)

Boosting fuzzy rules with low quality data in multi-class problems: Open problems and challenges. - Ana M. Palacios; Luciano Sánchez; Inés Couso (GEFS, 2013)

An Extension of the FURIA Classification Algorithm to Low Quality Data. - Ana M. Palacios; Luciano Sánchez; Inés Couso (HAIS, 2013)

Supervising classrooms comprising children with dyslexia and other learning problems with graphical exploratory analysis for fuzzy data: Presentation of the software tool and case study. - Ana Maria Palacios; Luciano Sánchez (FUZZ-IEEE, 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. - José Otero; María del Rosario Suárez; Ana M. Palacios; Inés Couso; Luciano Sánchez (RSCTC, 2014)

Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA. - Ana M. Palacios; Krzysztof Trawinski; Oscar Cordón; Luciano Sánchez (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014)

Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure. - José Otero; Luciano Sánchez; Inés Couso; Ana M. Palacios (J. Comput. Syst. Sci., 2014)

Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data. - Ana M. Palacios; Alvaro Martínez; Luciano Sánchez; Inés Couso (Eng. Appl. Artif. Intell., 2015)

Genetic learning of the membership functions for mining fuzzy association rules from low quality data. - Ana Maria Palacios; José Luis Palacios; Luciano Sánchez; Jesús Alcalá-Fdez (Inf. Sci., 2015)

An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia. - Ana M. Palacios; Luciano Sánchez; Inés Couso; Sébastien Destercke (Neurocomputing, 2016)

Finding informative code metrics under uncertainty for predicting the pass rate of online courses. - José Otero; Luis Junco Navascués; María del Rosario Suárez; Ana Maria Palacios; Inés Couso; Luciano Sánchez (Inf. Sci., 2016)