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Leader | 00000nz a2200037n 45 0 | ||
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001 | WKP|Q60660312 (VIAF cluster) (Authority/Source Record) | ||
003 | WKP | ||
005 | 20241121000337.0 | ||
008 | 241121nneanz||abbn n and d | ||
035 | ‡a (WKP)Q60660312 | ||
024 | ‡a 0000-0002-7891-3059 ‡2 orcid | ||
024 | ‡a 6602787110 ‡2 scopus | ||
035 | ‡a (OCoLC)Q60660312 | ||
100 | 0 | ‡a María José del Jesus ‡c researcher ORCID ID = 0000-0002-7891-3059 ‡9 en | |
375 | ‡a 2 ‡2 iso5218 | ||
400 | 0 | ‡a María José del Jesus ‡c wetenschapper ‡9 nl | |
670 | ‡a Author's A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets | ||
670 | ‡a Author's A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems | ||
670 | ‡a Author's A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets | ||
670 | ‡a Author's A proposal on reasoning methods in fuzzy rule-based classification systems | ||
670 | ‡a Author's A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets | ||
670 | ‡a Author's An overview on subgroup discovery: foundations and applications | ||
670 | ‡a Author's Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches | ||
670 | ‡a Author's Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data | ||
670 | ‡a Author's Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems | ||
670 | ‡a Author's Genetic learning of fuzzy rule‐based classification systems cooperating with fuzzy reasoning methods | ||
670 | ‡a Author's Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction | ||
670 | ‡a Author's GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems | ||
670 | ‡a Author's Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets | ||
670 | ‡a Author's LI-MLC: a label inference methodology for addressing high dimensionality in the label space for multilabel classification. | ||
670 | ‡a Author's Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. | ||
670 | ‡a Author's MOGUL: A methodology to obtain genetic fuzzy rule‐based systems under the iterative rule learning approach | ||
670 | ‡a Author's NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery | ||
670 | ‡a Author's On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets | ||
670 | ‡a Author's On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets | ||
670 | ‡a Author's Some relationships between fuzzy and random set-based classifiers and models | ||
670 | ‡a Author's Special Issue on Genetic Fuzzy Systems and the Interpretability–Accuracy Trade-off | ||
670 | ‡a wikidata authority control ‡u https://viaf.org/processed/DNB|1115674846 | ||
670 | ‡a wikidata authority control ‡u https://viaf.org/viaf/6410147665832860670007 | ||
909 | ‡a (orcid) 0000000278913059 ‡9 1 | ||
909 | ‡a (scopus) 6602787110 ‡9 1 | ||
919 | ‡a analysingtheclassificationofimbalanceddatasetswithmultipleclassesbinarizationtechniquesandadhocapproaches ‡A Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches ‡9 1 | ||
919 | ‡a specialissueongeneticfuzzysystemsandtheinterpretabilityaccuracytradeoff ‡A Special Issue on Genetic Fuzzy Systems and the Interpretability–Accuracy Trade-off ‡9 1 | ||
919 | ‡a somerelationshipsbetweenfuzzyandrandomsetbasedclassifiersandmodels ‡A Some relationships between fuzzy and random set-based classifiers and models ‡9 1 | ||
919 | ‡a ontheinfluenceofanadaptiveinferencesysteminfuzzyrulebasedclassificationsystemsforimbalanceddatasets ‡A On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets ‡9 1 | ||
919 | ‡a onthe2tuplesbasedgenetictuningperformanceforfuzzyrulebasedclassificationsystemsinimbalanceddatasets ‡A On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets ‡9 1 | ||
919 | ‡a nmeefsdnondominatedmultiobjectiveevolutionaryalgorithmforextractingfuzzyrulesinsubgroupdiscovery ‡A NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery ‡9 1 | ||
919 | ‡a mogulamethodologytoobtaingeneticfuzzyrulebasedsystemsundertheiterativerulelearningapproach ‡A MOGUL: A methodology to obtain genetic fuzzy rule‐based systems under the iterative rule learning approach ‡9 1 | ||
919 | ‡a miningcontextawareassociationrulesusinggrammarbasedgeneticprogramming ‡A Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. ‡9 1 | ||
919 | ‡a 51mlcalabelinferencemethodologyforaddressinghighdimensionalityinthelabelspaceformultilabelclassification ‡A LI-MLC: a label inference methodology for addressing high dimensionality in the label space for multilabel classification. ‡9 1 | ||
919 | ‡a hierarchicalfuzzyrulebasedclassificationsystemswithgeneticruleselectionforimbalanceddatasets ‡A Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets ‡9 1 | ||
919 | ‡a gpcoachgeneticprogrammingbasedlearningofcompactandaccuratefuzzyrulebasedclassificationsystemsforhighdimensionalproblems ‡A GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems ‡9 1 | ||
919 | ‡a genetictuningoffuzzyruledeepstructurespreservinginterpretabilityanditsinteractionwithfuzzyrulesetreduction ‡A Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction ‡9 1 | ||
919 | ‡a geneticlearningoffuzzyrulebasedclassificationsystemscooperatingwithfuzzyreasoningmethods ‡A Genetic learning of fuzzy rule‐based classification systems cooperating with fuzzy reasoning methods ‡9 1 | ||
919 | ‡a geneticfeatureselectioninafuzzyrulebasedclassificationsystemlearningprocessforhighdimensionalproblems ‡A Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems ‡9 1 | ||
919 | ‡a evolutionaryalgorithmsforsubgroupdiscoveryinelearningapracticalapplicationusingmoodledata ‡A Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data ‡9 1 | ||
919 | ‡a hierarchicalgeneticfuzzysystembasedongeneticprogrammingforaddressingclassificationwithhighlyimbalancedandborderlinedatasets ‡A A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets ‡9 1 | ||
919 | ‡a multiobjectivegeneticalgorithmforfeatureselectionanddatabaselearninginfuzzyrulebasedclassificationsystems ‡A A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems ‡9 1 | ||
919 | ‡a paretobasedensemblewithfeatureandinstanceselectionforlearningfrommulticlassimbalanceddatasets ‡A A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets ‡9 1 | ||
919 | ‡a proposalonreasoningmethodsinfuzzyrulebasedclassificationsystems ‡A A proposal on reasoning methods in fuzzy rule-based classification systems ‡9 1 | ||
919 | ‡a studyofthebehaviouroflinguisticfuzzyrulebasedclassificationsystemsintheframeworkofimbalanceddatasets ‡A A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets ‡9 1 | ||
919 | ‡a overviewonsubgroupdiscoveryfoundationsandapplications ‡A An overview on subgroup discovery: foundations and applications ‡9 1 | ||
946 | ‡a a ‡9 1 | ||
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997 | ‡a 0 0 lived 0 0 ‡9 1 | ||
998 | ‡a Del Jesus, Maria J. ‡2 NUKAT|n 2017170664 ‡3 viafid ‡3 title: (0.68, 'multilabelclassification', '51mlcalabelinferencemethodologyforaddressinghighdimensionalityinthelabelspaceformultilabelclassification') | ||
998 | ‡a Del Jesus, María Jose ‡2 DNB|1115674846 ‡3 suggested ‡3 standard number | ||
998 | ‡a Del Jesus, María Jose ‡2 SZ|1115674846 ‡3 standard number |