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Class imbalance in multi-resident activity recognition: an evaluative study on explainability of deep learning approaches

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)1173-1191
Number of pages19
JournalUniversal Access in the Information Society
Volume24
Issue number2
DOIs
Publication statusPublished - Jun 2025
Externally publishedYes

Keywords

  • BiLSTM networks
  • Class imbalance
  • Explainability
  • Human activity recognition
  • LSTM
  • Multiple residents
  • Trust

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