Publikationen, an denen er mitarbeitet ALBERTO LUIS FERNÁNDEZ HILARIO (22)

2021

  1. SOUL: Scala Oversampling and Undersampling Library for imbalance classification

    SoftwareX, Vol. 15

2018

  1. Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce

    Information Fusion, Vol. 42, pp. 51-61

  2. Imbalance: Oversampling algorithms for imbalanced classification in R

    Knowledge-Based Systems, Vol. 161, pp. 329-341

  3. SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

    Journal of Artificial Intelligence Research, Vol. 61, pp. 863-905

2017

  1. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 1238-1249

2013

  1. An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

    Information Sciences, Vol. 250, pp. 113-141

2011

  1. Addressing data complexity for imbalanced data sets: Analysis of SMOTE-based oversampling and evolutionary undersampling

    Soft Computing, Vol. 15, Núm. 10, pp. 1909-1936

  2. Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Addressing the classification with imbalanced data: Open problems and new challenges on class distribution

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework

    Journal of Multiple-Valued Logic and Soft Computing, Vol. 17, Núm. 2-3, pp. 255-287

  5. Using KEEL software as a educational tool: A case of study teaching data mining

    Proceedings of the 2011 7th International Conference on Next Generation Web Services Practices, NWeSP 2011

2010

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

    Information Sciences, Vol. 180, Núm. 10, pp. 2044-2064

  2. Genetics-based machine learning for rule induction: State of the art, taxonomy, and comparative study

    IEEE Transactions on Evolutionary Computation, Vol. 14, Núm. 6, pp. 913-941

  3. KEEL: una herramienta software para el análisis de sistemas difusos evolutivos

    XV Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF 2010: Huelva [Recurso electrónico]

2009

  1. A study of statistical techniques and performance measures for genetics-based machine learning: Accuracy and interpretability

    Soft Computing, Vol. 13, Núm. 10, pp. 959-977

  2. Addressing data-complexity for imbalanced data-sets: A preliminary study on the use of preprocessing for C4.5

    ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

  3. Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems

    Applied Soft Computing Journal, Vol. 9, Núm. 4, pp. 1304-1314

2008

  1. A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets

    Fuzzy Sets and Systems, Vol. 159, Núm. 18, pp. 2378-2398

  2. KEEL: A data mining software tool integrating genetic fuzzy systems

    2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS

2007

  1. A study on the use of the fuzzy reasoning method based on the winning rule vs. Voting procedure for classification with imbalanced data sets

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)