@article{2703,
  author = {Nina Rešcic, Mitja Luštrek},
  title = {Hierarchical Multi-label Classification for Activity Recognition},
  journal = {Progress in Signals and Telecommunication Engineering},
  year = {2019},
  volume = {8},
  number = {1},
  doi = {},
  url = {http://www.dline.info/pste/fulltext/v8n1/pstev8n1_2.pdf},
  abstract = {researched. Most commonly classification considers all activities to be ‘equal’ (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.},
}