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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis

Participants in the publication
Alcides Fonseca (Author)
Dep. Informatica
LASIGE - LASIGE Computer Science and Engineering Research Centre
LASIGE - LASIGE Computer Science and Engineering Research Centre
Bruno Cabral (Author)

Scope
International

Refereeing
Yes

Date of Publication
2017-07

Where published
Big Data Research

Publication Identifiers
ISSN - 2214-5796

Publisher
Elsevier BV

Volume
8

Number of pages
6
Starting page
50
Last page
56

Document Identifiers
DOI - https://doi.org/10.1016/j.bdr.2017.01.005
URL - http://dx.doi.org/10.1016/j.bdr.2017.01.005

Rankings
SCIMAGO Q1 (2016) - 0.956 - Computer Science Applications
SCOPUS Q1 (2017) - 0.757 - Computer Science Applications
Web Of Science Q1 (2018) - 2.952 - COMPUTER SCIENCE, THEORY & METHODS - SCIE


Export

APA
Alcides Fonseca, Bruno Cabral, (2017). Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis. Big Data Research, 8, 50-56. ISSN 2214-5796. eISSN . http://dx.doi.org/10.1016/j.bdr.2017.01.005

IEEE
Alcides Fonseca, Bruno Cabral, "Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis" in Big Data Research, vol. 8, pp. 50-56, 2017. 10.1016/j.bdr.2017.01.005

BIBTEX
@article{41078, author = {Alcides Fonseca and Bruno Cabral}, title = {Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis}, journal = {Big Data Research}, year = 2017, pages = {50-56}, volume = 8 }