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Preliminary diagnosis of ophtalmological diseases through machine learning techniques
(2011)
Although one can find several patents addressing surgery procedures to tackle ophthalmological diseases, it is very unusual to find other ones that apply machine learning techniques to automatically identify them. In this ...
Supervised Learning Algorithms Evaluation on Recognizing
(Computación y Sistemas, 2012-08-31)
Abstract. The meaning of such verb-noun collocations as the wind blows, time flies, the day passes by can be generalized as ‘what is designated by the noun exists’. Likewise, the meaning of make a decision, provide support, ...
Particle Competition and Cooperation in Networks for Semi-Supervised Learning with Concept Drift
(IEEE, 2012-01-01)
Concept drift is a problem of increasing importance in machine learning and data mining. Data sets under analysis are no longer only static databases, but also data streams in which concepts and data distributions may not ...
Weakly supervised learning through rank-based contextual measures
(2020-01-01)
Machine learning approaches have achieved remarkable advances over the last decades, especially in supervised learning tasks such as classification. Meanwhile, multimedia data and applications experienced an explosive ...
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 ...
The assessment of the quality of sugar using electronic tongue and machine learning algorithms
(2012-12-01)
The correct classification of sugar according to its physico-chemical characteristics directly influences the value of the product and its acceptance by the market. This study shows that using an electronic tongue system ...
The assessment of the quality of sugar using electronic tongue and machine learning algorithms
(2012-12-01)
The correct classification of sugar according to its physico-chemical characteristics directly influences the value of the product and its acceptance by the market. This study shows that using an electronic tongue system ...
Precipitates segmentation from scanning electron microscope images through machine learning techniques
(2011-06-02)
The presence of precipitates in metallic materials affects its durability, resistance and mechanical properties. Hence, its automatic identification by image processing and machine learning techniques may lead to reliable ...