Genetic Programming Classification of Magnetic Resonance Data

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{gray:1996:GPcbtNMR,

• author = "H. F. Gray and R. J. Maxwell and I. Martinez-Perez and C. Arus and S. Cerdan",
• title = "Genetic Programming Classification of Magnetic Resonance Data",
• old_title = "Genetic Programming for Classification of Brain Tumours from Nuclear Magnetic Resonance Biopsy Spectra",
• booktitle = "Genetic Programming 1996: Proceedings of the First Annual Conference",
• editor = "John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo",
• year = "1996",
• month = "28--31 " # jul,
• keywords = "genetic algorithms, genetic programming, ANN, Lisp",
• pages = "424",
• address = "Stanford University, CA, USA",
• publisher = "MIT Press",
• isbn13 = "978-0-262-61127-5",
• URL = "https://dl.acm.org/doi/10.5555/1595536.1595602",
• URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap63.pdf",
• URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
• size = "1 page",
• abstract = "Genetic programming (GP) is used to classify human brain tumours based on 1H Magnetic Resonance spectra. Good classification was achieved by GP (compared to a neural network). GP classification used simple combinations of variables, corresponding to a small group of metabolites, facilitating biochemical interpretation.",
• notes = "GP-96",

}

Genetic Programming entries for Helen Gray Ross James Maxwell Irene Martinez-Perez Carles Arus Sebastian Cerdan

Citations