Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Leonardo Chaves Dutra Da Rocha"'
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Akademický článek
A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study
Autor: Bruno Paiva, Marcos André Gonçalves, Leonardo Chaves Dutra da Rocha, Milena Soriano Marcolino, Fernanda Cristina Barbosa Lana, Maira Viana Rego Souza-Silva, Jussara M Almeida, Polianna Delfino Pereira, Claudio Moisés Valiense de Andrade, Angélica Gomides dos Reis Gomes, Maria Angélica Pires Ferreira, Frederico Bartolazzi, Manuela Furtado Sacioto, Ana Paula Boscato, Milton Henriques Guimarães-Júnior, Priscilla Pereira dos Reis, Felício Roberto Costa, Alzira de Oliveira Jorge, Laryssa Reis Coelho, Marcelo Carneiro, Thaís Lorenna Souza Sales, Silvia Ferreira Araújo, Daniel Vitório Silveira, Karen Brasil Ruschel, Fernanda Caldeira Veloso Santos, Evelin Paola de Almeida Cenci, Luanna Silva Monteiro Menezes, Fernando Anschau, Maria Aparecida Camargos Bicalho, Euler Roberto Fernandes Manenti, Renan Goulart Finger, Daniela Ponce, Filipe Carrilho de Aguiar, Luiza Margoto Marques, Luís César de Castro, Giovanna Grünewald Vietta, Mariana Frizzo de Godoy, Mariana do Nascimento Vilaça, Vivian Costa Morais
Publikováno v: JMIR Medical Informatics, Vol 12, p e54246 (2024)
BackgroundProper analysis and interpretation of health care data can significantly improve patient outcomes by enhancing services and revealing the impacts of new technologies and treatments. Understanding the substantial impact of temporal shifts in
Externí odkaz: https://doaj.org/article/b2c0e6bc40374f349b91cb8a5eb66433
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3
Dissertation/ Thesis
Uso de contextos temporais para classificação de documentos
Autor: Leonardo Chaves Dutra da Rocha
Publikováno v: Biblioteca Digital de Teses e Dissertações da UFMGUniversidade Federal de Minas GeraisUFMG.
Due to the increasing amount of information being stored and accessible throughthe Web, Automatic Document Classification (ADC) has become an important research topic. ADC usually employs a supervised learning strategy, where we first build a classif
Externí odkaz: http://hdl.handle.net/1843/SLSS-7WCQEY
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4
Dissertation/ Thesis
Uma metodologia de caracterização de serviços de mineração de dados
Autor: Leonardo Chaves Dutra da Rocha
Publikováno v: Biblioteca Digital de Teses e Dissertações da UFMGUniversidade Federal de Minas GeraisUFMG.
Web services are becoming a standard for deploying a large spectrum of applications using the Internet. One example of such application is data mining, which aims to extract useful information from large sets of data. A successful data mining service
Externí odkaz: http://hdl.handle.net/1843/SLBS-6GUL2M
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10
On the cost-effectiveness of stacking of neural and non-neural methods for text classification: scenarios and performance prediction
Autor: Christian Reis Fagundes Gomes
Publikováno v: Repositório Institucional da UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Neural network algorithms such as those based on transformers and attention models have excelled on Automatic Text Classification (ATC) tasks. However, such enhanced performance
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::150e88ee78ecb32d778c269808cb8d27
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