# Raúl Pérez

According to our database

Collaborative distances:

^{1}, Raúl Pérez authored at least 41 papers between 1998 and 2019.Collaborative distances:

## Timeline

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## Bibliography

2019

An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models.

Cognitive Computation, 2019

An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm.

Appl. Soft Comput., 2019

Reasoning Methods in Fuzzy Rule-based Classification Systems for Big Data Problems.

Proceedings of the 4th International Conference on Internet of Things, 2019

2018

Using Inductive Rule Learning Techniques to Learn Planning Domains.

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Learning Planning Action Models with Numerical Information and Logic Relationships Using Classification Techniques.

Proceedings of the Advances in Artificial Intelligence, 2018

2017

Incremental fuzzy learning algorithms in big data problems: A study on the size of learning subsets.

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Ordinal classification based on the sequential covering strategy.

Int. J. Approx. Reasoning, 2016

Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems.

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

On the use of an incremental approach to learn fuzzy classification rules for big data problems.

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection.

IEEE Trans. Knowl. Data Eng., 2015

Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective.

Pattern Recognition, 2015

An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach.

Int. J. Approx. Reasoning, 2015

Using a sequential covering strategy for discovering fuzzy rules incrementally.

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

A Fuzzy Rule-Based Feature Construction Approach Applied to Remotely Sensed Imagery.

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

A feature construction approach for genetic iterative rule learning algorithm.

J. Comput. Syst. Sci., 2014

On the use of meta-learning for instance selection: An architecture and an experimental study.

Inf. Sci., 2014

Overview of the SLAVE learning algorithm: A review of its evolution and prospects.

Int. J. Comput. Intell. Syst., 2014

2013

Knowledge-based instance selection: A compromise between efficiency and versatility.

Knowl.-Based Syst., 2013

An empirical study about the behavior of a genetic learning algorithm on searching spaces pruned by a completeness condition.

Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013

A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm.

Proceedings of the FUZZ-IEEE 2013, 2013

A Genetic Tuned Fuzzy Classifier Based on Prototypes.

Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

2012

An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules.

Int. J. Comput. Intell. Syst., 2012

2011

Combining instance selection methods based on data characterization: An approach to increase their effectiveness.

Inf. Sci., 2011

An iterative strategy for feature construction on a fuzzy rule-based learning algorithm.

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A two-step approach of feature construction for a genetic learning algorithm.

Proceedings of the FUZZ-IEEE 2011, 2011

2010

An extension of the Genetic Iterative Approach for learning rule subsets.

Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010

A genetic learning of fuzzy relational rules.

Proceedings of the FUZZ-IEEE 2010, 2010

2009

SCIS: Combining Instance Selection Methods to Increase Their Effectiveness over a Wide Range of Domains.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

2008

Distortion Mitigation in RF Power Amplifiers Through FPGA-Based Amplitude and Phase Predistortion.

IEEE Trans. Industrial Electronics, 2008

2004

A fuzzy perceptual model for map building and navigation of mobile robots.

Integrated Computer-Aided Engineering, 2004

2003

Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms.

Appl. Intell., 2003

Current issues and future directions in evolutionary fuzzy systems research.

Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

An inductive approach for learning fuzzy relation rules.

Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

2001

Selection of relevant features in a fuzzy genetic learning algorithm.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2001

An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms.

Inf. Sci., 2001

Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm.

Fuzzy Sets and Systems, 2001

1999

SLAVE: a genetic learning system based on an iterative approach.

IEEE Trans. Fuzzy Systems, 1999

A Study About the Inclusion of Linguistic Hedges in a Fuzzy Rule Learning Algorithm.

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1999

1998

A fuzzy theory refinement algorithm.

Int. J. Approx. Reasoning, 1998

Completeness and consistency conditions for learning fuzzy rules.

Fuzzy Sets and Systems, 1998

Un algoritmo de aprendizaje de reglas basado en el método genético iterativo.

Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1998