Zobrazeno 1 - 10
of 94
pro vyhledávání: '"R. Amancio"'
Autor:
Giovana D da Silva, Filipi N Silva, Henrique F de Arruda, Bárbara C E Souza, Luciano da F Costa, Diego R Amancio
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0302070 (2024)
Artistic pieces can be studied from several perspectives, one example being their reception among readers over time. In the present work, we approach this interesting topic from the standpoint of literary works, particularly assessing the task of pre
Externí odkaz:
https://doaj.org/article/6b2dfe00dd4d472ca11049a1442dcda7
Publikováno v:
Journal of Physics: Complexity, Vol 5, Iss 2, p 025018 (2024)
The post-World War II decades experienced rapid growth in international trade, but a trend of weakening globalization has been consolidating recently. We construct the international trade network (ITN) using bilateral trade (2010–2022) to assess ho
Externí odkaz:
https://doaj.org/article/997a26a3b0834128afcbaa68081e4558
Publikováno v:
PLoS ONE, Vol 18, Iss 11 (2023)
Externí odkaz:
https://doaj.org/article/645a21a33ba34877aab993ca6b4f60e4
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 4, p 045008 (2023)
Several natural and artificial structures are characterized by an intrinsic hierarchical organization. The present work describes a methodology for quantifying the degree of adherence between a given hierarchical template and a respective modular doc
Externí odkaz:
https://doaj.org/article/2b7852fb12f546569465946f60de2970
Publikováno v:
In Information Processing and Management May 2019 56(3):479-494
Autor:
Adilson Vital, Diego R. Amancio
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10da49bd6cc3e58949d107756c718e54
https://doi.org/10.1007/s11192-022-04484-6
https://doi.org/10.1007/s11192-022-04484-6
Autor:
Mayra Z Rodriguez, Cesar H Comin, Dalcimar Casanova, Odemir M Bruno, Diego R Amancio, Luciano da F Costa, Francisco A Rodrigues
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210236 (2019)
Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (and understanding) of machine learning methods in practical applications becomes essential. While many classification methods have been proposed, there
Externí odkaz:
https://doaj.org/article/5f718bfdd11d4d6eb66192da1e5788bc
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0193703 (2018)
The authorship attribution is a problem of considerable practical and technical interest. Several methods have been designed to infer the authorship of disputed documents in multiple contexts. While traditional statistical methods based solely on wor
Externí odkaz:
https://doaj.org/article/ba9cb3ae3b894757a3f6ed6a73cde1b7
Publikováno v:
Nonlinear Processes in Geophysics, Vol 21, Iss 6, Pp 1127-1132 (2014)
In the last few years, the scientific community has witnessed an ongoing trend of using ideas developed in the study of complex networks to analyze climate dynamics. This powerful combination, usually called climate networks, can be used to uncover n
Externí odkaz:
https://doaj.org/article/2fe4fad18b2c48eea1712170af6aede5
Autor:
Filipi Nascimento Silva, Henrique Ferraz de Arruda, Felipe L. Gewers, Luciano da Fontoura Costa, Cesar H. Comin, Gustavo Rodrigues Ferreira, Diego R. Amancio
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Principal component analysis (PCA) is often used for analyzing data in the most diverse areas. In this work, we report an integrated approach to several theoretical and practical aspects of PCA. We start by providing, in an intuitive and accessible m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11135428901da4bad671ca1190ad7c75
https://doi.org/10.1145/3447755
https://doi.org/10.1145/3447755