Cristóbal J. Carmona
Orcid: 0000-0001-7008-5378Affiliations:
- University of Burgos, Spain
According to our database1,
Cristóbal J. Carmona
authored at least 55 papers
between 2008 and 2024.
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Bibliography
2024
SDRDPy: An application to graphically visualize the knowledge obtained with supervised descriptive rule algorithms.
CoRR, 2024
2023
Int. J. Comput. Intell. Syst., December, 2023
Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.
Prog. Artif. Intell., March, 2023
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams.
Inf. Fusion, 2023
Proceedings of the Flexible Query Answering Systems - 15th International Conference, 2023
2022
A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams.
Expert Syst. Appl., 2021
2020
IEEE Trans. Fuzzy Syst., 2020
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments.
Neurocomputing, 2020
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
2019
Cogn. Comput., 2019
2018
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects.
WIREs Data Mining Knowl. Discov., 2018
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns.
IEEE Trans. Fuzzy Syst., 2018
Prog. Artif. Intell., 2018
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy.
Knowl. Based Syst., 2018
2017
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution.
Knowl. Based Syst., 2017
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.
Int. J. Neural Syst., 2017
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Soft Comput., 2016
R J., 2016
Int. J. Comput. Intell. Syst., 2016
Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
2015
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans.
Inf. Sci., 2015
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions.
Expert Syst. Appl., 2015
A First Approach in the Class Noise Filtering Approaches for Fuzzy Subgroup Discovery.
Proceedings of the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2015
FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery.
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
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms.
WIREs Data Mining Knowl. Discov., 2014
Neurocomputing, 2014
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets.
Appl. Soft Comput., 2014
2013
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology.
Knowl. Based Syst., 2013
Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm.
Appl. Soft Comput., 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
2012
Knowl. Based Syst., 2012
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD.
Int. J. Comput. Intell. Syst., 2012
Expert Syst. Appl., 2012
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery.
Expert Syst. Appl., 2012
A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms.
Proceedings of the ICPRAM 2012, 2012
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 2, Wroclaw, Poland, 28 June, 2012
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department.
Soft Comput., 2011
Knowl. Inf. Syst., 2011
Appl. Soft Comput., 2011
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
2010
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery.
IEEE Trans. Fuzzy Syst., 2010
CO<sup>2</sup>RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market.
Int. J. Hybrid Intell. Syst., 2010
CO<sup>2</sup>RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design.
Proceedings of the International Joint Conference on Neural Networks, 2010
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Preselection of Neurostimulation Waveforms for Visual Prostheses using Genetic Algorithms.
Proceedings of the BIODEVICES 2010, 2010
2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery.
Proceedings of the FUZZ-IEEE 2009, 2009
2008
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008