Now showing items 11-20 of 78
Classificação hierárquica multirrótulo de funções de proteínas via predição de interações
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEngenharia de Computação - EC, 2020-06-26)
Proteins are macro-molecules responsible for virtually every task necessary for the maintenance of cells, having a fundamental role in the behavior and regulation of organisms. Advances in the area of Molecular Biology ...
Divide and conquer: An extreme multi-label classification approach for coding diseases and procedures in spanish
(Universidad de Chile, 2023)
Clinical coding is the task of transforming medical documents into structured codes following a standard ontology. Since these terminologies are composed of thousands of codes, this problem can be considered an Extreme ...
Multi-class sentiment analysis using a hierarchical logistic model tree approach
(Universidad de Cuenca, 2014)
This paper proposes a new hybrid system for multi-class sentiment analysis based on General Inquirer (GI) dictionary and a hierarchical Logistic Model Tree (LMT) approach. This new system consists of three layers, the ...
A stable and online approach to detect concept drift in data streams
(Universidade de São Paulo - USPUniversidade Federal de São Carlos - UFSCarCentro de Robótica de São Carlos - CROBSociedade Brasileira de Computação - SBCSociedade Brasileira de Automática - SBASão Carlos, 2014-10)
The detection of concept drift allows to point out when a data stream changes its behavior over time, what supports further analysis to understand why the phenomenon represented by such data has changed. Nowadays, researchers ...
Um estudo sobre o agrupamento de séries temporais e sua aplicação em curvas de carga residenciais
(Universidade Federal de Minas GeraisUFMG, 2016-12-23)
The union of computational, measurement and communication systems applied to electrical power systems will form the Smart Grids. One of its main components are the Smart Meters, which are measurement systems that periodically ...
Clustering of Whole-Brain White Matter Short Association Bundles Using HARDI Data
Human brain connectivity is extremely complex and variable across subjects. While long association and projection bundles are stable and have been deeply studied, short association bundles present higher intersubject ...