Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering.
Eftim ZdravevskiPetre LameskiVladimir TrajkovikAndrea KulakovIvan ChorbevRossitza GolevaNuno PomboNuno M. GarciaPublished in: IEEE Access (2017)
Keyphrases
- recognition accuracy
- feature engineering
- living systems
- dependency parsing
- recognition rate
- face recognition
- text classification
- artificial life
- computer vision
- machine learning
- labeled data
- biological systems
- natural language processing
- systems biology
- active learning
- semi supervised
- high dimensional
- data sets
- data mining