@inproceedings{7299909be4d04726b8d9fc8a8fde70e4,
title = "A System for Accessible Artificial Intelligence.",
abstract = "While artificial intelligence (AI) has become widespread, many commercial AI systems are not yet accessible to individual researchers nor the general public due to the deep knowledge of the systems required to use them. We believe that AI has matured to the point where it should be an accessible technology for everyone. We present an ongoing project whose ultimate goal is to deliver an open source, user-friendly AI system that is specialized for machine learning analysis of complex data in the biomedical and health care domains. We discuss how genetic programming can aid in this endeavor, and highlight specific examples where genetic programming has automated machine learning analyses in previous projects.",
author = "Olson, \{Randal S.\} and Moshe Sipper and Cava, \{William G. La\} and Sharon Tartarone and Steven Vitale and Weixuan Fu and Patryk Orzechowski and Urbanowicz, \{Ryan J.\} and Holmes, \{John H.\} and Moore, \{Jason H.\}",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",
year = "2018",
month = jul,
day = "6",
doi = "10.1007/978-3-319-90512-9\_8",
language = "English",
isbn = "978-3-319-90511-2",
series = "Genetic and Evolutionary Computation",
publisher = "Springer",
pages = "121--134",
editor = "W. Banzhaf and R. Olson and W. Tozier and R. Riolo",
booktitle = "Genetic programming theory and practice XV",
address = "Germany",
}