An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks. Faris, H.; Al-Zoubi, A. M.; Heidari, A. A.; Aljarah, I.; Mafarja, M. M.; Hassonah, M. A.; and Fujita, H. Inf. Fusion, 48:67–83, 2019.
An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks [link]Paper  doi  bibtex   
@article{DBLP:journals/inffus/FarisAHAMHF19,
  author    = {Hossam Faris and
               Ala' M. Al{-}Zoubi and
               Ali Asghar Heidari and
               Ibrahim Aljarah and
               Majdi M. Mafarja and
               Mohammad A. Hassonah and
               Hamido Fujita},
  title     = {An intelligent system for spam detection and identification of the
               most relevant features based on evolutionary Random Weight Networks},
  journal   = {Inf. Fusion},
  volume    = {48},
  pages     = {67--83},
  year      = {2019},
  url       = {https://doi.org/10.1016/j.inffus.2018.08.002},
  doi       = {10.1016/j.inffus.2018.08.002},
  timestamp = {Thu, 20 Feb 2020 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/inffus/FarisAHAMHF19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
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