Investigation of the visual attention role in clinical bioethics decision-making using machine learning algorithms.
Daniel Louzada FernandesRodrigo Siqueira-BatistaAndreia Patricia GomesCamila R. SouzaIsrael T. da CostaFelippe da S. L. CardosoJoão V. de AssisGustavo H. L. CaetanoFabio Ribeiro CerqueiraPublished in: ICCS (2017)
Keyphrases
- machine learning algorithms
- visual attention
- decision making
- benchmark data sets
- machine learning
- learning algorithm
- saliency map
- eye tracking
- eye movements
- focus of attention
- decision trees
- vision system
- machine learning methods
- learning problems
- random forests
- visual search
- visual perception
- visual saliency
- machine learning approaches
- visual attention model
- higher level
- predictive accuracy
- visual scene
- data sets
- salient regions
- eye tracking data
- attention mechanism
- visual motion
- machine learning models
- data mining
- machine learning systems
- artificial neural networks