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<record>
  <title>Hierarchical Multi-label Classification for Activity Recognition</title>
  <journal>Progress in Signals and Telecommunication Engineering</journal>
  <author>Nina ReÅ¡cic, Mitja LuÅ¡trek</author>
  <volume>8</volume>
  <issue>1</issue>
  <year>2019</year>
  <doi></doi>
  <url>http://www.dline.info/pste/fulltext/v8n1/pstev8n1_2.pdf</url>
  <abstract>researched. Most commonly classification considers all activities to be â€˜equalâ€™ (we will use term at classification).
However, intuition suggests better results could be achieved using a hierarchical approach for classification. In this
paper we compare three different approaches to classify activities: (i) Flat classification - classes are equal and we build one
model to classify all of them; (ii) Multi-model hierarchical classification - classes are arranged in trees, we build different
models to classify activities on different levels. We apply two different approaches; (iii) Hierarchical classification using CLUS
software1.</abstract>
</record>
