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ORCIDAna M. Palacios
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2010 – 2019
- 2016
[j14]Ana M. Palacios, Luciano Sánchez
, Inés Couso, Sébastien Destercke:
An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia. Neurocomputing 176: 60-71 (2016)- [j13]José Otero, Luis Junco Navascués, María del Rosario Suárez, Ana Maria Palacios, Inés Couso, Luciano Sánchez:
Finding informative code metrics under uncertainty for predicting the pass rate of online courses. Inf. Sci. 373: 42-56 (2016) - 2015
- [j12]Ana M. Palacios, Alvaro Martínez, Luciano Sánchez, Inés Couso:
Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data. Eng. Appl. Artif. Intell. 44: 10-24 (2015) - [j11]Ana Maria Palacios, José Luis Palacios, Luciano Sánchez, Jesús Alcalá-Fdez:
Genetic learning of the membership functions for mining fuzzy association rules from low quality data. Inf. Sci. 295: 358-378 (2015) - 2014
- [j10]Ana M. Palacios, Krzysztof Trawinski, Oscar Cordón, Luciano Sánchez:
Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(5): 643-676 (2014) - [j9]José Otero, Luciano Sánchez, Inés Couso, Ana M. Palacios:
Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure. J. Comput. Syst. Sci. 80(1): 88-100 (2014) - [c12]Ana Maria Palacios, Luciano Sánchez:
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. FUZZ-IEEE 2014: 2133-2140 - [c11]José Otero, María del Rosario Suárez, Ana M. Palacios, Inés Couso, Luciano Sánchez:
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. RSCTC 2014: 299-308 - 2013
- [c10]Ana Maria Palacios, Luciano Sánchez, Inés Couso:
CI-LQD: A software tool for modeling and decision making with Low Quality Data. FUZZ-IEEE 2013: 1-8 - [c9]Ana M. Palacios, Luciano Sánchez, Inés Couso:
Boosting fuzzy rules with low quality data in multi-class problems: Open problems and challenges. GEFS 2013: 28-35 - [c8]Ana M. Palacios, Luciano Sánchez, Inés Couso:
An Extension of the FURIA Classification Algorithm to Low Quality Data. HAIS 2013: 679-688 - 2012
- [j8]Ana M. Palacios, José Luis Palacios, Luciano Sánchez:
Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data. Expert Syst. Appl. 39(11): 10212-10225 (2012) - [j7]Ana M. Palacios, Luciano Sánchez, Inés Couso:
Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers. Int. J. Comput. Intell. Syst. 5(2): 276-296 (2012) - [j6]Ana M. Palacios, Luciano Sánchez, Inés Couso:
Boosting of Fuzzy Rules with Low Quality Data. J. Multiple Valued Log. Soft Comput. 19(5-6): 591-619 (2012) - [j5]Ana M. Palacios, María José Gacto, Jesús Alcalá-Fdez:
Mining fuzzy association rules from low-quality data. Soft Comput. 16(5): 883-901 (2012) - 2011
- [j4]Ana M. Palacios, Luciano Sánchez, Inés Couso:
Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data. Int. J. Approx. Reason. 52(6): 841-862 (2011) - [j3]Ana M. Palacios, Luciano Sánchez, Inés Couso:
Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems. J. Multiple Valued Log. Soft Comput. 17(2-3): 207-228 (2011) - [c7]Ana M. Palacios, Luciano Sánchez, Inés Couso:
Using the Adaboost algorithm for extracting fuzzy rules from low quality data: Some preliminary results. FUZZ-IEEE 2011: 1263-1270 - [c6]José Otero, Luciano Sánchez, Ana M. Palacios, Inés Couso:
Managing stochastic algorithms cross-validation variability using an interval valued multiple comparison procedure. ISDA 2011: 1391-1396 - 2010
- [j2]Ana M. Palacios, Luciano Sánchez, Inés Couso:
Diagnosis of dyslexia with low quality data with genetic fuzzy systems. Int. J. Approx. Reason. 51(8): 993-1009 (2010) - [c5]Ana M. Palacios, Luciano Sánchez, Inés Couso:
Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2009
- [j1]Ana M. Palacios, Luciano Sánchez, Inés Couso:
Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets. Evol. Intell. 2(1-2): 73-84 (2009) - [c4]Ana M. Palacios, Luciano Sánchez, Inés Couso:
A Baseline Learning Genetic Fuzzy Classifier Based on Low Quality Data. IFSA/EUSFLAT Conf. 2009: 803-808 - [c3]Ana M. Palacios, Luciano Sánchez, Inés Couso:
A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data. HAIS 2009: 654-661 - [c2]Ana M. Palacios, Inés Couso, Luciano Sánchez:
GFS-Based Analysis of Vague Databases in High Performance Athletics. IDEAL 2009: 602-609 - 2008
- [c1]Luciano Sánchez, Ana M. Palacios, Inés Couso:
A Minimum Risk Wrapper Algorithm for Genetically Selecting Imprecisely Observed Features, Applied to the Early Diagnosis of Dyslexia. HAIS 2008: 608-615
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