Improving the credibility of unreliable information through static images and data mining: an experimental study to identify floods (2016)
- Authors:
- USP affiliated authors: PEREIRA, JOÃO PORTO DE ALBUQUERQUE - ICMC ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidade: ICMC
- Subjects: SISTEMAS DE INFORMAÇÃO; GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS; SEGURANÇA DE REDES; SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: The ISCRAM Association
- Publisher place: Bruxelas, Bélgica
- Date published: 2016
- Source:
- Título do periódico: Proceedings: Poster Session
- ISSN: 2411-3387
- Conference titles: International Conference on Information Systems for Crisis Response and Management - ISCRAM 2016
-
ABNT
ANDRADE, Sidgley Camargo de e ALBUQUERQUE, João Porto de e DELBEM, Alexandre Cláudio Botazzo. Improving the credibility of unreliable information through static images and data mining: an experimental study to identify floods. 2016, Anais.. Bruxelas, Bélgica: The ISCRAM Association, 2016. Disponível em: http://idl.iscram.org/files/sidgleycamargodeandrade/2016/1428_SidgleyCamargodeAndrade_etal2016.pdf. Acesso em: 19 abr. 2024. -
APA
Andrade, S. C. de, Albuquerque, J. P. de, & Delbem, A. C. B. (2016). Improving the credibility of unreliable information through static images and data mining: an experimental study to identify floods. In Proceedings: Poster Session. Bruxelas, Bélgica: The ISCRAM Association. Recuperado de http://idl.iscram.org/files/sidgleycamargodeandrade/2016/1428_SidgleyCamargodeAndrade_etal2016.pdf -
NLM
Andrade SC de, Albuquerque JP de, Delbem ACB. Improving the credibility of unreliable information through static images and data mining: an experimental study to identify floods [Internet]. Proceedings: Poster Session. 2016 ;[citado 2024 abr. 19 ] Available from: http://idl.iscram.org/files/sidgleycamargodeandrade/2016/1428_SidgleyCamargodeAndrade_etal2016.pdf -
Vancouver
Andrade SC de, Albuquerque JP de, Delbem ACB. Improving the credibility of unreliable information through static images and data mining: an experimental study to identify floods [Internet]. Proceedings: Poster Session. 2016 ;[citado 2024 abr. 19 ] Available from: http://idl.iscram.org/files/sidgleycamargodeandrade/2016/1428_SidgleyCamargodeAndrade_etal2016.pdf - Does keyword noise change over space and time?: a case study of social media messages
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