Now showing items 1-10 of 334
Using the Web as corpus for self-training text categorization
(Springer Science+Business Media, 2009)
Searching extended emerging patterns for supervised classification
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2010)
Comparative Study of FDA and Time Series Approaches for Seabed Classification from Acoustic Curves
(Springer Heidelberg, 2019-04)
Seabed classification in coastal environments is usually accomplished using multivariate methods applied to acoustic features from corrected or uncorrected echoes. This paper presents a comparative study of alternative ...
Development of Supervised Learning Predictive Models for Highly Non-linear Biological, Biomedical, and General Datasets
(Frontiers Media, 2020)
In highly non-linear datasets, attributes or features do not allow readily finding visual patterns for identifying common underlying behaviors. Therefore, it is not possible to achieve classification or regression using ...
Hierarchical multi-label classification for tree and DAG hierarchies
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2014)
Árvore de predição semi-supervisionada para predição de localização subcelular de proteínas
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEngenharia de Computação - EC, 2021-11-19)
Protein subcellular localization is a really important classification task, because the location of proteins inside a cell is directly related to these protein’s functions. As there are a lot of proteins that reside at the ...
Modeling of a future scenario of potential sea level rise and consequences to land use in the Cananéia-Iguape Estuarine-Lagoonal Complex (Brazil)Modeling of a future scenario of potential sea level rise and consequences to land use in the Cananéia-Iguape Estuarine-Lagoonal Complex (Brazil)
(Instituto de Geociências /Universidade Federal do Rio Grande do Sul, 2020)
EEG/ECoG-based BCI systems: a NeuroFuzzy approach using recurrent neural networks and adaptive filters
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2015)
Investigando a combinação de técnicas de aprendizado semissupervisionado e classificação hierárquica multirrótulo
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Sistemas e ComputaçãoCiência da Computação, 2012-05-25)
Data classification is a task with high applicability in a lot of areas. Most methods for treating classification problems found in the literature dealing with single-label or traditional problems. In recent years has been ...