Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Eduarda T. C. Chagas"'
Autor:
Andrea A. Rey, Alejandro C. Frery, Magdalena Lucini, Juliana Gambini, Eduarda T. C. Chagas, Heitor S. Ramos
Publikováno v:
Entropy, Vol 25, Iss 5, p 734 (2023)
We obtain expressions for the asymptotic distributions of the Rényi and Tsallis of order q entropies and Fisher information when computed on the maximum likelihood estimator of probabilities from multinomial random samples. We verify that these asym
Externí odkaz:
https://doaj.org/article/7a5db0e1add64c49b19b1b65936af7d0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 663-675 (2021)
The use of Bandt–Pompe probability distributions and descriptors of information theory has been presenting satisfactory results with low computational cost in the time series analysis literature [1]–[3]. However, these tools have limitations when
Externí odkaz:
https://doaj.org/article/5542385a30a7497ab1c3baf2a8881cd0
Autor:
Eduarda T. C. Chagas, Pedro H. Barros, Isadora Cardoso-Pereira, Igor V. Ponte, Pablo Ximenes, Flávio Figueiredo, Fabricio Murai, Ana Paula Couto da Silva, Jussara M. Almeida, Antonio A. F. Loureiro, Heitor S. Ramos
Publikováno v:
PLoS ONE, Vol 16, Iss 12 (2021)
This article proposes a study of the SARS-CoV-2 virus spread and the efficacy of public policies in Brazil. Using both aggregated (from large Internet companies) and fine-grained (from Departments of Motor Vehicles) mobility data sources, our work sh
Externí odkaz:
https://doaj.org/article/b832ab4ed8774fb9a4d4d316e9ed3013
Publikováno v:
Anais Estendidos do XXVIII Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia 2022).
The main objective of this tutorial is to present the fundamentals of temporal data analysis using ordinal patterns and descriptors from Information Theory, covering the tools and steps necessary for developing applications and services to detect bot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d9af75bc2223709215b04df400a3915
https://doi.org/10.5753/webmedia_estendido.2022.224372
https://doi.org/10.5753/webmedia_estendido.2022.224372
Publikováno v:
Anais do XXXV Concurso de Teses e Dissertações (CTD 2022).
In the context of non-parametric analysis of time series, the use of Ordinal Patterns combined with descriptors of Information Theory proved being powerful in characterizing processes underlying the data dynamics. Two are prominent among those descri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25c5d95571d48eeda6a1c6dfb9957ac4
https://doi.org/10.5753/ctd.2022.222888
https://doi.org/10.5753/ctd.2022.222888
Publikováno v:
2021 2nd China International SAR Symposium (CISS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cff9cc962b880e3c2cfe69b274f9e517
https://doi.org/10.23919/ciss51089.2021.9652337
https://doi.org/10.23919/ciss51089.2021.9652337
Publikováno v:
2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS).
We propose a new technique for SAR image texture characterization based on ordinal pattern transition graphs. The proposal consists in (i) transforming a 2-D patch of data into a time series using a Hilbert Space Filling Curve, (ii) building an Ordin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::789a5c439103ac6e2ca44758f6b9a67f
https://doi.org/10.1109/lagirs48042.2020.9165609
https://doi.org/10.1109/lagirs48042.2020.9165609
Autor:
Eduarda T. C. Chagas, Fernanda Ferreira Albuquerque Tenorio, Pedro H. Barros, Heitor S. Ramos
Publikováno v:
Workshop de Computação Urbana (CoUrb).
A Internet vem nos fornecendo cada vez mais dados e informações, ajudando a compreender melhor os seus usuários e o ambiente que os rodeiam. Uma das abordagens usadas para detectar e compreender eventos que ocorrem ao redor do mundo vem sendo a an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76c4e3889227d0c1f96fb073cc720b73
https://doi.org/10.5753/courb.2019.7477
https://doi.org/10.5753/courb.2019.7477