Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Rafael Messias Martins"'
Autor:
Rafael Messias Martins
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Visual analytics tools play an important role in the scenario of big data solutions, combining data analysis and interactive visualization techniques in effective ways to support the incremental exploration of large data collections from a wide range
Autor:
Rafael Messias Martins
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
A crescente adoção do paradigma experimental na pesquisa em Engenharia de Software visa a obtenção de evidências experimentais sobre as tecnologias propostas para garantir sua correta avaliação e para a construção de um corpo de conhecimento
Autor:
Rafael Messias Martins, Fernando V. Paulovich, Danilo Barbosa Coimbra, Andreas Kerren, Kostiantyn Kucher, Tacito Trindade de Araujo Tiburtino Neves
Publikováno v:
Computers & Graphics. 102:233-244
Streaming data applications are becoming more common due to the ability of different information sources to continuously capture or produce data, such as sensors and social media. Although there are recent advances, most visualization approaches, par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36664a7fe4df7cf0be99b1037ac94413
https://doi.org/10.1016/j.cag.2021.08.009
https://doi.org/10.1016/j.cag.2021.08.009
Autor:
Kostiantyn Kucher, Ilir Jusufi, Andreas Kerren, Fabrice Rossi, Rafael Messias Martins, Angelos Chatzimparmpas
Machine learning (ML) models are nowadays used in complex applications in various domains, such as medicine, bioinformatics, and other sciences. Due to their black box nature, however, it may sometimes be hard to understand and trust the results they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9aefa7d7d9adebf8d43f6c86d1fa206c
http://arxiv.org/abs/2212.11737
http://arxiv.org/abs/2212.11737
Autor:
Edson Mota, Rafael Messias Martins, Danilo Barbosa Coimbra, Pedro Diamantino, Tacito Tiburtino, Maycon L. M. Peixoto
Publikováno v:
Theoretical Computer Science. 872:41-54
Among the challenges of the big data era, the analysis of high-dimensional data is still an open research area. As a result, several multidimensional projection techniques have been developed to reduce data dimensionality, becoming important visualiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::347cae9444058bf2c2c751b8c528e6a9
https://doi.org/10.1016/j.tcs.2020.12.043
https://doi.org/10.1016/j.tcs.2020.12.043
Publikováno v:
Journal of Visualization. 23:1015-1034
Text visualization and visual text analytics methods have been successfully applied for various tasks related to the analysis of individual text documents and large document collections such as summarization of main topics or identification of events
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b02caadde4ca494f536451ea46c9e83d
https://doi.org/10.1007/s12650-020-00684-5
https://doi.org/10.1007/s12650-020-00684-5
Publikováno v:
CSCS
Stacked generalization (also called stacking) is an ensemble method in machine learning that uses a metamodel to combine the predictive results of heterogeneous base models arranged in at least one layer. K-fold cross-validation is employed at the va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8359fbbefd299d6e5537b574b861824b
https://doi.org/10.1109/cscs52396.2021.00008
https://doi.org/10.1109/cscs52396.2021.00008
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
Dimensionality reduction methods, also known as projections, are frequently used in multidimensional data exploration in machine learning, data science, and information visualization. Tens of such techniques have been proposed, aiming to address a wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e35f7f651ac27ef61e7fd084a8422b3
Autor:
Stephen G. MacDonell, Katia Romero Felizardo, Rafael Messias Martins, José Carlos Maldonado, Norsaremah Salleh, Emilia Mendes
Background: A systematic literature review (SLR) is a methodology used to aggregate all relevant existing evidence to answer a research question of interest. Although crucial, the process used to select primary studies can be arduous, time consuming,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d53e7008b4b881c7d213f383aa1f625d
Publikováno v:
VISIGRAPP (3: IVAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc960f22620677909e06c54590ac5409
https://doi.org/10.5220/0010314602190223
https://doi.org/10.5220/0010314602190223