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Title: Aprendizaje supervisado en conjuntos de datos no balanceados con redes neuronales artificiales: métodos de mejora de rendimiento para modelos de clasificación binaria en diagnóstico médico
Author: Águila Martínez, Juan
Tutor: Solanas, Agusti  
Others: Universitat Oberta de Catalunya
Abstract: The following work addresses the problem of recognizing a set of patterns within a database obtained from scanned images through the liquid of mammary samples taken via FNA (Fine Needle Aspiration). Such data present a marked class imbalance, not to mention other features which degrade the usual supervised classification techniques in terms of performance.
Keywords: multivariate statistics
neural networks
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 15-Jun-2017
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Appears in Collections:Bachelor thesis, research projects, etc.

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