Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Gustavo E. A. P. A. Batista"'
Publikováno v:
IEEE Access, Vol 10, Pp 78022-78043 (2022)
The rapid advance of scientific research in data mining has led to the adaptation of conventional pattern extraction methods to the context of time series analysis. The forecasting (or prediction) task has been supported mainly by regression algorith
Externí odkaz:
https://doaj.org/article/f40b41051e6c4107a2e7042d4a935df1
Publikováno v:
Journal of the Brazilian Computer Society, Vol 24, Iss 1, Pp 1-17 (2018)
Abstract In the last years, learning from data streams has attracted the attention of researchers and practitioners due to its large number of applications. These applications have motivated the research community to propose a significant amount of m
Externí odkaz:
https://doaj.org/article/86924abaa2d5434d801744f39e62c93a
Publikováno v:
ACM Transactions on Management Information Systems. 12:1-24
During the COVID-19 pandemic, authorities have been asking for social distancing to prevent transmission of the virus. However, enforcing such distancing has been challenging in tight spaces such as elevators and unmonitored commercial settings such
Publikováno v:
Intelligent Systems ISBN: 9783031216855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0776a4f642049e7dbac33fad5d38cd98
https://doi.org/10.1007/978-3-031-21686-2_44
https://doi.org/10.1007/978-3-031-21686-2_44
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Autor:
Juliano José Corbi, André Gustavo Maletzke, Lidia Moura, Barbara Lepretti de Nadai, Gustavo E. A. P. A. Batista
Publikováno v:
INDICADORES BIOLÓGICOS DE QUALIDADE EM AMBIENTES AQUÁTICOS CONTINENTAIS: MÉTRICAS E RECORTES PARA ANÁLISES
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36bf7d66c72b3aee7de03d639357e616
https://doi.org/10.46898/rfb.9786558891321.8
https://doi.org/10.46898/rfb.9786558891321.8
Autor:
T. P. da Silva, Antonio Rafael Sabino Parmezan, L. H. M. Jacintho, Gustavo E. A. P. A. Batista
Publikováno v:
Journal of Information and Data Management. 12
Since 1989, the first year of the democratic presidential election after a long period of a dictatorship regime, Brazil conducted eight presidential elections. Short and long-term shifts of power and two impeachment processes marked such a period. Th
Publikováno v:
ICC Workshops
The COVID-19 pandemic requires social distancing to prevent transmission of the virus. Monitoring social distancing is difficult and expensive, especially in "travel corridors" such as elevators and commercial spaces. This paper describes a low-cost
Autor:
André Gustavo Maletzke, Gustavo E. A. P. A. Batista, Everton Alvares Cherman, Denis Moreira dos Reis
Publikováno v:
AAAI
Quantification is an expanding research topic in Machine Learning literature. While in classification we are interested in obtaining the class of individual observations, in quantification we want to estimate the total number of instances that belong
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
The choice of the most promising algorithm to model and predict a particular phenomenon is one of the most prominent activities of the temporal data forecasting. Forecasting (or prediction), similarly to other data mining tasks , uses empirical evide