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Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions
(Association for Computing Machinery Special Interest Group on Genetic and Evolutionary Computation - ACM SIGEVOVancouver, 2014-07)
Hierarchical Multi-Label Classification (HMC) is a complex classification problem where instances can be classified into many classes simultaneously, and these classes are organized in a hierarchical structure, having ...
Funcionalidade na paralisia cerebral: abordagem exploratória baseada na classificação internacional de funcionalidade, incapacidade e saúde
(Universidade Federal de Santa MariaBrasilCiências da SaúdeUFSMPrograma de Pós-Graduação em Reabilitação FuncionalCentro de Ciências da Saúde, 2017-08-14)
The Cerebral Palsy (CP) is a disorder that compromises children’s motor development and also can present associated impairments. The deficits generated by CP can hinder the acquisition of skills and abillities, as well as ...
Neural Networks for the Web Services Classification
(Institute of Physics Publishing, 2020-01-07)
This article introduces a n-gram-based approach to automatic classification of Web services using a multilayer perceptron-type artificial neural network. Web services contain information that is useful for achieving a ...
Automatic landslide recognition through Optimum-Path Forest
(2012-12-01)
In this paper we shed light over the problem of landslide automatic recognition using supervised classification, and we also introduced the OPF classifier in this context. We employed two images acquired from Geoeye-MS ...
Automatic landslide recognition through Optimum-Path Forest
(2012-12-01)
In this paper we shed light over the problem of landslide automatic recognition using supervised classification, and we also introduced the OPF classifier in this context. We employed two images acquired from Geoeye-MS ...