Who Cited It

KEEL: a software tool to assess evolutionary algorithms for data mining problems

2008 · Soft Computing · 1,508 citations · 5 from inside this corpus

Jesús Alcalá‐Fdez, Luciano Sánchez, Salvador García, María José del Jesús, Sebastián Ventura, Josep M. Garrell low, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández Fernández, Francisco Herrera

No abstract in the source record.

KEEL: a software tool to assess evolutionary algorithms for data mining problems (2008)KEEL: a software tool to asse…Genetic algorithms in search, optimization, and machine learning (1989)Genetic algorithms in search,…Adaptation in Natural and Artificial Systems (1992)Adaptation in Natural and Art…C4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Genetic Algorithms in Search, Optimization and Machine Learning (1988)Genetic Algorithms in Search,…A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection (1995)A Study of Cross-Validation a…Proceedings of the 19th International Joint Conference on Artificial Intelligence (2005)Proceedings of the 19th Inter…Introduction to Evolutionary Computing (2003)Introduction to Evolutionary …Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms (1998)Approximate Statistical Tests…Generating fuzzy rules by learning from examples (1992)Generating fuzzy rules by lea…Rotation Forest: A New Classifier Ensemble Method (2006)Rotation Forest: A New Classi…Classifier Fitness Based on Accuracy (1995)A practical tutorial on the use of nonparametric statistical tests as a methodology for c… (2011)A practical tutorial on the u…Survey on deep learning with class imbalance (2019)Survey on deep learning with …A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba… (2011)A Review on Ensembles for the…Advanced nonparametric tests for multiple comparisons in the design of experiments in com… (2009)Advanced nonparametric tests …An insight into classification with imbalanced data: Empirical results and current trends… (2013)An insight into classificatio…
16 of 16 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Genetic algorithms in search, optimization, and machine learning198949,344
Adaptation in Natural and Artificial Systems199235,569
C4.5: Programs for Machine Learning199223,704
Genetic Algorithms in Search, Optimization and Machine Learning198817,777
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection199510,743
Proceedings of the 19th International Joint Conference on Artificial Intelligence20055,782
Introduction to Evolutionary Computing20034,188
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms19983,759
Generating fuzzy rules by learning from examples19922,905
Rotation Forest: A New Classifier Ensemble Method20061,911
Classifier Fitness Based on Accuracy19951,396

What cites it, inside the corpus

PaperYearCited
A practical tutorial on the use of nonparametric statistical tests as a methodology for c…20115,499
Survey on deep learning with class imbalance20192,971
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Ba…20112,834
Advanced nonparametric tests for multiple comparisons in the design of experiments in com…20092,231
An insight into classification with imbalanced data: Empirical results and current trends…20131,602

Links

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Topics

Evolutionary Algorithms and ApplicationsComputer Science
Metaheuristic Optimization Algorithms ResearchComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports12 author record(s) attached.
  • supports59 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:58+00:00.

sha256 88a60cdbb94c6a13…