Jesús Alcalá-Fdez

According to our database1, Jesús Alcalá-Fdez authored at least 62 papers between 2003 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems.
IEEE Access, 2019

Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

VisualJFML: A Visual Environment for Designing Fuzzy Systems according to IEEE Std 1855-2016.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007-2017).
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2018

MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems.
Knowl.-Based Syst., 2018

Design of Fuzzy Controllers for Embedded Systems With JFML.
Int. J. Comput. Intell. Syst., 2018

JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016.
IEEE Access, 2018

Interoperability for Embedded Systems in JFML Software: An Arduino-based implementation.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification.
IEEE Trans. Fuzzy Systems, 2017

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining.
Int. J. Comput. Intell. Syst., 2017

Mining association rules in R using the package RKEEL.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects.
IEEE Trans. Fuzzy Systems, 2016

NICGAR: A Niching Genetic Algorithm to mine a diverse set of interesting quantitative association rules.
Inf. Sci., 2016

Special Issue on Computational Intelligence Software Guest Editorial.
IEEE Comp. Int. Mag., 2016

New open source modules in KEEL to analyze and export fuzzy association rules.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

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

2014
A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules.
IEEE Trans. Evolutionary Computation, 2014

QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules.
Inf. Sci., 2014

Analyzing fuzzy association rules with Fingrams in KEEL.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
jFuzzyLogic: a Java Library to Design Fuzzy Logic Controllers According to the Standard for Fuzzy Control Programming.
Int. J. Comput. Intell. Syst., 2013

Special Issue on Software Tools for Soft Computing.
Int. J. Comput. Intell. Syst., 2013

A new fingram-based software tool for visual representation and analysis of fuzzy association rules.
Proceedings of the FUZZ-IEEE 2013, 2013

Interpretability analysis of fuzzy association rules supported by fingrams.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

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

Financial time series forecasting with a bio-inspired fuzzy model.
Expert Syst. Appl., 2012

Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments.
Appl. Intell., 2012

jFuzzyLogic: a robust and flexible Fuzzy-Logic inference system language implementation.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning.
IEEE Trans. Fuzzy Systems, 2011

Soft Computing Techniques in Data Mining.
Multiple-Valued Logic and Soft Computing, 2011

KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework.
Multiple-Valued Logic and Soft Computing, 2011

A multi-objective evolutionary algorithm for mining quantitative association rules.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Evolutionary learning of a laser pointer detection fuzzy system for an environment control system.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules.
Fundam. Inform., 2010

A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems.
Expert Syst. Appl., 2010

A fuzzy associative classification system with genetic rule selection for high-dimensional problems.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010

Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput., 2009

Learning weighted linguistic rules to control an autonomous robot.
Int. J. Intell. Syst., 2009

Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms.
Fuzzy Sets and Systems, 2009

Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems.
Appl. Intell., 2009

Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

2008
On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection.
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008

Fuzzy-genetic optimization of the parameters of a low cost system for the optical measurement of several dimensions of vehicles.
Soft Comput., 2008

A consistency-based procedure to estimate missing pairwise preference values.
Int. J. Intell. Syst., 2008

KEEL: A data mining software tool integrating genetic fuzzy systems.
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008

2007
Guest Editorial Genetic Fuzzy Systems: What's Next? An Introduction to the Special Section.
IEEE Trans. Fuzzy Systems, 2007

A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection.
IEEE Trans. Fuzzy Systems, 2007

Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation.
Soft Comput., 2007

A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007

Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems.
Int. J. Intell. Syst., 2007

Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems.
Int. J. Intell. Syst., 2007

Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation.
Int. J. Approx. Reasoning, 2007

Genetic Learning of Membership Functions for Mining Fuzzy Association Rules.
Proceedings of the FUZZ-IEEE 2007, 2007

A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling.
Soft Comput., 2006

Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems.
Proceedings of the Advances in Applied Artificial Intelligence, 2006

2005
Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Assessing the differences in accuracy between GFSs with bootstrap tests.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

2003
Genetic learning of accurate TS models based on local fuzzy prototyping.
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003


  Loading...