Antonio González Muñoz
Orcid: 0000-0001-8889-7593Affiliations:
- University of Granada, Department of Computer Science and Artificial Ingelligence, Spain
According to our database1,
Antonio González Muñoz
authored at least 71 papers
between 1990 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Fuzzy Syst., April, 2024
2022
Automating the decision making process of Todd's age estimation method from the pubic symphysis with explainable machine learning.
Inf. Sci., 2022
Efficient inference models for classification problems with a high number of fuzzy rules.
Appl. Soft Comput., 2022
A new multi-rules approach to improve the performance of the Chi fuzzy rule classification algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
2020
A preliminary study to apply the Quine McCluskey algorithm for fuzzy rule base minimization.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
2019
An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models.
Cogn. Comput., 2019
An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm.
Appl. Soft Comput., 2019
Proceedings of the 4th International Conference on Internet of Things, 2019
A software implementation of the fuzzy rule learning algorithm NSLVOrd for ordinal classification into KEEL.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
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
Int. J. Approx. Reason., 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 Recognit., 2015
An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach.
Int. J. Approx. Reason., 2015
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
J. Comput. Syst. Sci., 2014
On the use of meta-learning for instance selection: An architecture and an experimental study.
Inf. Sci., 2014
Int. J. Comput. Intell. Syst., 2014
2013
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
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013
2012
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
Proceedings of the FUZZ-IEEE 2011, 2011
2010
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010
Proceedings of the FUZZ-IEEE 2010, 2010
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 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
A multiple object tracking approach that combines colour and depth information using a confidence measure.
Pattern Recognit. Lett., 2008
2007
Proceedings of the Foundations of Fuzzy Logic and Soft Computing, 2007
2006
Un Sistema Visual Difuso para la Detección de Interés en la Interacción Robot-Persona.
Proceedings of the Actas del VII Workshop de Agentes Físicos WAF'2006, 2006
2005
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems.
Eng. Appl. Artif. Intell., 2005
SIADEX: An interactive knowledge-based planner for decision support in forest fire fighting.
AI Commun., 2005
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005
2004
Integr. Comput. Aided Eng., 2004
2003
A Fuzzy Perceptual Model for Ultrasound Sensors Applied to Intelligent Navigation of Mobile Robots.
Appl. Intell., 2003
Some Issues about the Representation and Exploitation of Imprecise Temporal Knowledge for an AI Planner.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003
2002
Int. J. Intell. Syst., 2002
Integrating fuzzy topological maps and fuzzy geometric maps for behavior-based robots.
Int. J. Intell. Syst., 2002
2001
IEEE Trans. Syst. Man Cybern. Part B, 2001
J. Exp. Theor. Artif. Intell., 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 Syst., 2001
2000
A three-level knowledge-based system for the generation of live and safe Petri nets for manufacturing systems.
J. Intell. Manuf., 2000
Int. J. Approx. Reason., 2000
Automatic generation of control sequences for manufacturing systems based on partial order planning techniques.
Artif. Intell. Eng., 2000
A hybrid hierarchical operator-based planning approach for the design of control programs.
Proceedings of the 14th Workshop "New Results in Planning, 2000
1999
IEEE Trans. Fuzzy Syst., 1999
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1999
Int. J. Approx. Reason., 1999
Un algoritmo de planificación no lineal para la generación automáticade programas industriales.
Inteligencia Artif., 1999
1998
Fuzzy Sets Syst., 1998
Distribution network optimization: Finding the most economic solution by using genetic algorithms.
Eur. J. Oper. Res., 1998
Inteligencia Artif., 1998
A Nonlinear Planner for Solving Sequential Control Problems in Manufacturing Systems.
Proceedings of the Progress in Artificial Intelligence, 1998
1995
Int. J. Intell. Syst., 1995
1994
Int. J. Approx. Reason., 1994
1993
Int. J. Approx. Reason., 1993
1992
1991
A discrete method for studying indifference and order relations between fuzzy numbers.
Inf. Sci., 1991
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1991
1990
Proceedings of the Uncertainty in Knowledge Bases, 1990