Interactive Machine Learning and Explainability in Mobile Classification of Forest-Aesthetics.
Simon FluturaAndreas SeidererTobias HuberKatharina WeitzIlhan AslanRuben SchlagowskiElisabeth AndréJoachim RathmannPublished in: GOODTECHS (2020)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- machine learning algorithms
- decision trees
- support vector machine
- supervised machine learning
- supervised learning
- support vector
- feature selection
- supervised classification
- classification accuracy
- feature extraction
- computer vision
- model selection
- classification algorithm
- machine learning approaches
- pattern classification
- learning tasks
- mobile phone
- text classification
- information extraction
- data analysis
- rule learning
- mobile devices
- automatic classification
- mobile users
- inductive learning
- classification method
- mobile learning
- data mining
- artificial intelligence
- decision rules
- classification models
- user interaction
- support vector machine svm
- mobile environments
- preprocessing
- classification scheme
- learning systems
- mobile applications
- inductive logic programming
- context aware
- learning problems
- user friendly