Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Antonio Rafael Sabino Parmezan"'
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Um dos maiores desafios em Mineração de Dados é a integração da informação temporal ao seu processo. Esse fato tem desafiado profissionais de diferentes domínios de aplicação e recebido investimentos consideráveis da comunidade científica
Autor:
Cláudio Saddy Rodrigues Coy, Leandro Augusto Ensina, Feng Chung Wu, Huei Diana Lee, Antonio Rafael Sabino Parmezan, Jefferson Tales Oliva, Weber Shoity Resende Takaki, Newton Spolaôr
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
Using the voice to interact with systems is attractive in medicine and other areas due to its friendliness and flexibility. Video indexing and retrieval have benefited from this resource. However, few initiatives use speech recognition to support bot
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
Stream mining considers the online arrival of examples at high speed and the possibility of changes in its descriptive features or class definitions compared with past knowledge (i.e., concept drifts). The fast detection of drifts is essential to kee
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Traditional supervised machine learning algorithms conduct data classification in a flat way, i.e., they seek to associate each example with a class belonging to a finite, devoid of structural dependencies and usually small, set of classes. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aedae43abd29d3b47995abc3665e3320
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:
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
Autor:
Vinicius M. A. Souza, Indrė Žliobaitė, Antonio Rafael Sabino Parmezan, Gustavo E. A. P. A. Batista
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
We study how the behavior and wing-beat frequency of hymenopteran flying insects depend on environmental conditions, such as temperature and relative humidity. We use flight data from seven bee species and two wasp species collected in Brazil in a co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18f959da91391ca20138dacb38660d0e
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
Feature selection in real-world data mining problems is essential to make the learning task efficient and more accurate. Identifying the best feature selection algorithm, among the many available, is a complex activity that still relies heavily on hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1de017339361674333265b819e4e220b
Autor:
Leandro Augusto Ensina, Antonio Rafael Sabino Parmezan, Claudio S. R. Coy, A. Mendes, Rui Fonseca-Pinto, Weber Shoity Resende Takaki, Feng C. Wu, Huei Diana Lee, Conceição V. Nogueira, Newton Spolaôr
Publikováno v:
Computational Intelligence for Business Analytics ISBN: 9783030738181
Melanoma, the most dangerous skin cancer, is sometimes associated with a nevus, a relatively common skin lesion. To find early melanoma, nevus, and other lesions, dermoscopy is often used. In this context, intelligent methods have been applied in der
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1ae23811bda2a7f8600ad1c379d04cd
https://doi.org/10.1007/978-3-030-73819-8_7
https://doi.org/10.1007/978-3-030-73819-8_7
Autor:
Gustavo E. A. P. A. Batista, Lucas Henrique Mantovani Jacintho, Tiago Pinho da Silva, Antonio Rafael Sabino Parmezan
Publikováno v:
Anais do Symposium on Knowledge Discovery, Mining and Learning (KDMiLe 2020).
Since 1989, the first year of the democratic presidential election after a long period of a dictatorship regime, Brazil conducted eight presidential elections. This period was marked by short and long-term shifts of power and two impeachment processe