Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rodrigo Francisquini"'
Publikováno v:
CEC
The COVID-19 pandemic has created an urgency for studies to understand the spread of the virus, in particular, to predict the number of daily cases. This type of investigation depends heavily on the data collected and made available manually. Therefo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f58b8753a80a6afda1e7d0b2458389fd
https://doi.org/10.1109/cec45853.2021.9504844
https://doi.org/10.1109/cec45853.2021.9504844
Autor:
Maurício Frota Camacho, André Zelanis, Sandro Gomes Soares, Rafael Berton, Mariá C. V. Nascimento, Solange M.T. Serrano, Rodrigo Francisquini, Dayelle S. Pessotti, Débora Andrade-Silva, Uilla Barcick, Roger Chammas
Publikováno v:
Journal of proteomics. 232
Protein-protein interaction networks (PPINs) are static representations of protein connections in which topological features such as subgraphs (communities) may contain proteins functionally related, revealing an additional layer of interactome compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4be65e0f4ee6b54d84250eafd74e9f06
https://pubmed.ncbi.nlm.nih.gov/33276191
https://pubmed.ncbi.nlm.nih.gov/33276191
Publikováno v:
Applied Soft Computing. 118:108489
Several applications have a community structure where the nodes of the same community share similar attributes. Anomaly or outlier detection in networks is a relevant and widely studied research topic with applications in various domains. Despite a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35e73a5d19b55e91de040e0e2be441c2
https://doi.org/10.1016/j.asoc.2022.108489
https://doi.org/10.1016/j.asoc.2022.108489
Publikováno v:
Expert Systems with Applications
In 2020, Brazil was the leading country in COVID-19 cases in Latin America, and capital cities were the most severely affected by the outbreak. Climates vary in Brazil due to the territorial extension of the country, its relief, geography, and other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d8a4bce3d656f53bc3c6146ec7dda5f
https://doi.org/10.1016/j.eswa.2021.115190
https://doi.org/10.1016/j.eswa.2021.115190
Publikováno v:
Expert Systems with Applications. 74:127-138
GA-LP presented results competitive with the current literature.GA-LP refines the results of the well-known Label Propagation.The time to detect communities in large directed networks by GA-LP is very low. Many real-world networks have a topological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90c2fc69b5fd7bc3dd57f903ee86441b
https://doi.org/10.1016/j.eswa.2016.12.039
https://doi.org/10.1016/j.eswa.2016.12.039
Publikováno v:
CEC
Understanding the community structure of realworld networks is an important task to predict the dynamics of many complex systems. To this end, several optimization methods were developed to maximize the widely studied measure known as Modularity. Mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1f9b6d724fa1fc0cb24c79309df333a
https://doi.org/10.1109/cec.2018.8477955
https://doi.org/10.1109/cec.2018.8477955