@inproceedings{954250e704d84bf98177beec492dc962,
title = "EBIC: A next-generation evolutionary-based parallel biclustering method",
abstract = "In this paper we present the recent accomplishments in developing a biclustering method based on evolutionary computation. In one of the recent papers we demonstrated the supremacy of our method over several state-of-the-art algorithms. We highlight the evolutionary fundamentals of the method and discuss potential future directions.",
keywords = "Biclustering, Data mining, Evolutionary computation, Genetic programming, Unsupervised machine learning",
author = "Patryk Orzechowski and Xiuzhen Huang and Moshe Sipper and Moore, {Jason H.}",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s).; 2018 Genetic and Evolutionary Computation Conference, GECCO 2018 ; Conference date: 15-07-2018 Through 19-07-2018",
year = "2018",
month = jul,
day = "6",
doi = "10.1145/3205651.3208779",
language = "English",
series = "GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion",
publisher = "Association for Computing Machinery, Inc",
pages = "59--60",
booktitle = "GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion",
}