Ana M. Palacios

According to our database1, Ana M. Palacios authored at least 26 papers between 2008 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2016
Finding informative code metrics under uncertainty for predicting the pass rate of online courses.
Inf. Sci., 2016

An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia.
Neurocomputing, 2016

2015
Genetic learning of the membership functions for mining fuzzy association rules from low quality data.
Inf. Sci., 2015

Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data.
Eng. Appl. Artif. Intell., 2015

2014
Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure.
J. Comput. Syst. Sci., 2014

Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 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.
Proceedings of the Rough Sets and Current Trends in Computing, 2014

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.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
An Extension of the FURIA Classification Algorithm to Low Quality Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

Boosting fuzzy rules with low quality data in multi-class problems: Open problems and challenges.
Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013

CI-LQD: A software tool for modeling and decision making with Low Quality Data.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Mining fuzzy association rules from low-quality data.
Soft Comput., 2012

Boosting of Fuzzy Rules with Low Quality Data.
J. Multiple Valued Log. Soft Comput., 2012

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers.
Int. J. Comput. Intell. Syst., 2012

Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data.
Expert Syst. Appl., 2012

2011
Future Performance Modeling in Athletism with Low Quality Data-based Genetic Fuzzy Systems.
J. Multiple Valued Log. Soft Comput., 2011

Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data.
Int. J. Approx. Reason., 2011

Managing stochastic algorithms cross-validation variability using an interval valued multiple comparison procedure.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Using the Adaboost algorithm for extracting fuzzy rules from low quality data: Some preliminary results.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Diagnosis of dyslexia with low quality data with genetic fuzzy systems.
Int. J. Approx. Reason., 2010

Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Extending a simple genetic cooperative-competitive learning fuzzy classifier to low quality datasets.
Evol. Intell., 2009

GFS-Based Analysis of Vague Databases in High Performance Athletics.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

A Minimum-Risk Genetic Fuzzy Classifier Based on Low Quality Data.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

A Baseline Learning Genetic Fuzzy Classifier Based on Low Quality Data.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
A Minimum Risk Wrapper Algorithm for Genetically Selecting Imprecisely Observed Features, Applied to the Early Diagnosis of Dyslexia.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008


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