Minimizing the Imbalance Problem in Chromatographic Profile Classification with One-Class Classifiers

Authors:
António V. Sousa;Ana Maria Mendonça;Aurélio Campilho
Affiliations:
Instituto de Engenharia Biomédica, , Porto, Portugal 4200-465 and Instituto Superior de Engenharia do Porto, , Porto, Portugal 4200-072;Instituto de Engenharia Biomédica, , Porto, Portugal 4200-465 and Faculdade de Engenharia da Universidade do Porto, Porto, Portugal 4200-465;Instituto de Engenharia Biomédica, , Porto, Portugal 4200-465 and Faculdade de Engenharia da Universidade do Porto, Porto, Portugal 4200-465
Venue:
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Year:
2008

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Abstract

This paper presents a new classification approach to deal with class imbalance in TLC patterns, which is due to the huge difference between the number of normal and pathological cases as a consequence of the rarity of LSD diseases. The proposed architecture is formed by two decision stages: the first is implemented by a one-class classifier aiming at recognizing most of the normal samples; the second stage is a hierarchical classifier which deals with the remaining outliers that are expected to contain the pathological cases and a small percentage of normal samples. We have also evaluated this architecture by a forest of classifiers, using the majority voting as a rule to generate the final classification. The results that were obtained proved that this approach is able to overcome some of the difficulties associated with class imbalance.