Alberto Fernández

According to our database1, Alberto Fernández authored at least 90 papers between 2006 and 2019.

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

Timeline

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Bibliography

2019
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity.
IEEE Trans. Fuzzy Systems, 2019

A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems.
Soft Comput., 2019

Guest Editorial: Computational Intelligence for Big Data Analytics.
Cognitive Computation, 2019

Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
IEEE Comp. Int. Mag., 2019

An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing.
Proceedings of the 7th Conference on Cloud Computing & Big Data, 2019

2018
Imbalance: Oversampling algorithms for imbalanced classification in R.
Knowl.-Based Syst., 2018

Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach.
Knowl. Inf. Syst., 2018

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary.
J. Artif. Intell. Res., 2018

Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce.
Information Fusion, 2018

Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers.
BMC Bioinformatics, 2018

Improving Fuzzy Rule Based Classification Systems in Big Data via Support-based Filtering.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Learning from Imbalanced Data Sets
Springer, ISBN: 978-3-319-98073-7, 2018

2017
NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem.
Information Fusion, 2017

A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.
Int. J. Neural Syst., 2017

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

Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?
Int. J. Comput. Intell. Syst., 2017

Fuzzy rule based classification systems for big data with MapReduce: granularity analysis.
Adv. Data Analysis and Classification, 2017

A Review of Distributed Data Models for Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets.
Inf. Sci., 2016

A View on Fuzzy Systems for Big Data: Progress and Opportunities.
Int. J. Comput. Intell. Syst., 2016

Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC).
Int. J. Approx. Reasoning, 2016

A First Approach in Evolutionary Fuzzy Systems based on the lateral tuning of the linguistic labels for Big Data classification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification.
Proceedings of the Fuzzy Logic and Information Fusion, 2016

2015
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies.
IEEE Trans. Fuzzy Systems, 2015

DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems.
Pattern Recognition, 2015

Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges.
Knowl.-Based Syst., 2015

A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets.
Knowl.-Based Syst., 2015

On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems.
Expert Syst. Appl., 2015

Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

On the Combination of Pairwise and Granularity Learning for Improving Fuzzy Rule-Based Classification Systems: GL-FARCHD-OVO.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed.
Inf. Sci., 2014

Empowering difficult classes with a similarity-based aggregation in multi-class classification problems.
Inf. Sci., 2014

E-learning and educational data mining in cloud computing: an overview.
IJLT, 2014

Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection.
IEEE Trans. Fuzzy Systems, 2013

Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers.
Pattern Recognition, 2013

EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling.
Pattern Recognition, 2013

A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets.
Knowl.-Based Syst., 2013

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches.
Knowl.-Based Syst., 2013

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics.
Inf. Sci., 2013

Addressing covariate shift for Genetic Fuzzy Systems classifiers: A case of study with FARC-HD for imbalanced datasets.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle.
Proceedings of the Combining Experimentation and Theory - A Hommage to Abe Mamdani, 2012

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2012

Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012

Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics.
Expert Syst. Appl., 2012

An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing.
Proceedings of the 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, 2012

Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations.
Proceedings of the ICPRAM 2012, 2012

2011
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling.
Soft Comput., 2011

An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes.
Pattern Recognition, 2011

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

A genetic tuning to improve the performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of ignorance and lateral position.
Int. J. Approx. Reasoning, 2011

A case study on medical diagnosis of cardiovascular diseases using a Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011

Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets.
Proceedings of the FUZZ-IEEE 2011, 2011

On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees.
Proceedings of the FUZZ-IEEE 2011, 2011

Construction of Interval-Valued Fuzzy Preference Relations Using Ignorance Functions: Interval-Valued Non Dominance Criterion.
Proceedings of the Eurofuse 2011, 2011

2010
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study.
IEEE Trans. Evolutionary Computation, 2010

Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets.
Pattern Recognition Letters, 2010

Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning.
Inf. Sci., 2010

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power.
Inf. Sci., 2010

On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets.
Inf. Sci., 2010

Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations.
Fuzzy Sets and Systems, 2010

A first approach for cost-sensitive classification with linguistic Genetic Fuzzy Systems in imbalanced data-sets.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010

A genetic algorithm for tuning fuzzy rule-based classification systems with Interval-Valued Fuzzy Sets.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability.
Soft Comput., 2009

Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets.
Int. J. Approx. Reasoning, 2009

On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets.
Expert Syst. Appl., 2009

Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems.
Appl. Soft Comput., 2009

A Preliminar Analysis of CO2RBFN in Imbalanced Problems.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

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

A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets.
Proceedings of the FUZZ-IEEE 2009, 2009

Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.
Fuzzy Sets and Systems, 2008

A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

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

2007
An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.
Proceedings of the Computational and Ambient Intelligence, 2007

2006
A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006


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