Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Lopez:2016:MICAI,

• author = "Edgar {Galvan Lopez} and Lucia Vazquez-Mendoza and Leonardo Trujillo",
• title = "Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data",
• booktitle = "Mexican International Conference on Artificial Intelligence",
• year = "2016",
• editor = "Obdulia Pichardo-Lagunas and Sabino Miranda-Jimenez",
• volume = "10062",
• series = "Lecture Notes in Computer Science",
• pages = "261--272",
• address = "Cancun, Mexico",
• month = "23-29 " # oct,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/micai/micai2016-2.html#LopezVT16",
• isbn13 = "978-3-319-62428-0",
• DOI = "doi:10.1007/978-3-319-62428-0_22",
• size = "12 pages",
• abstract = "Data sets with imbalanced class distribution pose serious challenges to well-established classifiers. In this work, we propose a stochastic multi-objective genetic programming based on semantics. We tested this approach on imbalanced binary classification data sets, where the proposed approach is able to achieve, in some cases, higher recall, precision and F-measure values on the minority class compared to C4.5, Naive Bayes and Support Vector Machine, without significantly decreasing these values on the majority class.",
• notes = "also \nown as \cite{conf/micai/LopezVT16}",

}

Genetic Programming entries for Edgar Galvan Lopez Lucia Vazquez-Mendoza Leonardo Trujillo

Citations