Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/100856
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Assunção, Filipe | - |
dc.contributor.author | Lourenço, Nuno | - |
dc.contributor.author | Ribeiro, Bernardete | - |
dc.contributor.author | Machado, Penousal | - |
dc.date.accessioned | 2022-07-15T09:33:52Z | - |
dc.date.available | 2022-07-15T09:33:52Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 23527110 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/100856 | - |
dc.description.abstract | This paper introduces a grammar-based general purpose framework for the automatic search and deployment of potentially Deep Artificial Neural Networks (DANNs). The approach is known as Fast Deep Evolutionary Network Structured Representation (Fast-DENSER) and is capable of simultaneously optimising the topology, learning strategy and any other required hyper-parameters (e.g., data pre-processing or augmentation). Fast-DENSER has been successfully applied to numerous object recognition tasks, with the generation of Convolutional Neural Networks (CNNs). The code is developed and tested in Python3, and made available as a library. A simple and easy to follow example is described for the automatic search of CNNs for the Fashion-MNIST benchmark | pt |
dc.language.iso | eng | pt |
dc.relation | FCT project CISUC - UID/CEC/ 00326/2020 | pt |
dc.relation | FCT Grant No: SFRH/BD/114865/2016 | pt |
dc.relation | FEDER Regional Operational Program Centro 2020 | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt |
dc.subject | Artificial Neural Networks | pt |
dc.subject | Automated machine learning | pt |
dc.subject | NeuroEvolution | pt |
dc.title | Fast-DENSER: Fast Deep Evolutionary Network Structured Representation | pt |
dc.type | article | - |
degois.publication.firstPage | 100694 | pt |
degois.publication.title | SoftwareX | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1016/j.softx.2021.100694 | pt |
degois.publication.volume | 14 | pt |
dc.date.embargo | 2021-01-01 | * |
uc.date.periodoEmbargo | 0 | pt |
item.grantfulltext | open | - |
item.fulltext | Com Texto completo | - |
item.openairetype | article | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.researchunit | CISUC - Centre for Informatics and Systems of the University of Coimbra | - |
crisitem.author.researchunit | CISUC - Centre for Informatics and Systems of the University of Coimbra | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.orcid | 0000-0002-9770-7672 | - |
crisitem.author.orcid | 0000-0002-6308-6484 | - |
Appears in Collections: | I&D CISUC - Artigos em Revistas Internacionais |
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File | Description | Size | Format | |
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1-s2.0-S235271102100039X-main.pdf | 411.95 kB | Adobe PDF | View/Open |
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