Deep Learning Concepts for Evolutionary Art
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Tanjil:2019:evomusart,
-
author = "Fazle Tanjil and Brian J. Ross",
-
title = "Deep Learning Concepts for Evolutionary Art",
-
booktitle = "8th International Conference on Computational
Intelligence in Music, Sound, Art and Design, EvoMusArt
2019",
-
year = "2019",
-
editor = "Aniko Ekart and Antonios Liapis and Luz Castro",
-
series = "LNCS",
-
volume = "11453",
-
publisher = "Springer",
-
pages = "1--17",
-
address = "Leipzig, Germany",
-
month = "24-26 " # apr,
-
organisation = "Species",
-
keywords = "genetic algorithms, genetic programming, Deep
convolutional neural network, ANN, Evolutionary art",
-
isbn13 = "978-3-030-16666-3",
-
DOI = "doi:10.1007/978-3-030-16667-0_1",
-
abstract = "Fig. 1. System Architecture. The CNN on left side is
integrated with GP fitness. The same CNN is used (right
side) to pre-evaluate a target image, to be used as a
basis for determining feature map values to match with
evolved images during fitness.",
-
notes = "EvoMusArt2019 held in conjunction with EuroGP'2019
EvoCOP2019 and EvoApplications2019
http://www.evostar.org/2019/cfp_evomusart.php",
- }
Genetic Programming entries for
Fazle Tanjil
Brian J Ross
Citations