Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH.
Leandro DonisiEdda Maria CapodaglioGaetano PaganoFederica AmitranoMario CesarelliMonica PanigazziGiovanni D'AddioPublished in: MeMeA (2022)
Keyphrases
- machine learning algorithms
- input features
- machine learning models
- benchmark data sets
- learning algorithm
- machine learning methods
- machine learning approaches
- machine learning
- predictive accuracy
- standard machine learning algorithms
- decision trees
- learning models
- feature set
- random forests
- learning problems
- learning tasks
- class labels
- image features
- surface features
- classification accuracy
- feature space
- feature extraction
- statistical machine learning
- general purpose
- range images
- svm classifier
- supervised learning algorithms
- post processing
- machine learning systems