To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning.
Raphael RisslerMario NadjMaximilian Xiling LiNico LoeweMichael T. KnierimAlexander MaedchePublished in: IEEE Trans. Affect. Comput. (2023)
Keyphrases
- machine learning
- pattern recognition
- machine learning algorithms
- classification accuracy
- machine learning methods
- feature selection
- flow patterns
- support vector machine
- pattern classification
- feature vectors
- supervised learning
- automatic classification
- classification scheme
- feature extraction
- information flow
- decision trees
- machine learning approaches
- text classification
- support vector
- inductive logic programming
- learning tasks
- image classification
- feature set
- classification systems
- supervised machine learning
- preprocessing
- statistical learning
- feature construction
- data sets
- classification models
- inductive learning
- learning algorithm
- benchmark datasets
- semi supervised learning
- model selection
- computational intelligence
- natural language processing
- information extraction
- feature space
- natural language