A novel deep ordinal classification approach for aesthetic quality control classification.
Riccardo RosatiLuca RomeoVíctor Manuel VargasPedro Antonio GutiérrezCésar Hervás-MartínezEmanuele FrontoniPublished in: Neural Comput. Appl. (2022)
Keyphrases
- quality control
- ordinal classification
- quality assurance
- machine vision
- manufacturing systems
- multi class classification
- automated visual inspection
- feature selection
- classification accuracy
- training samples
- manufacturing process
- unsupervised learning
- machine learning
- machine learning algorithms
- training set
- support vector
- product quality
- decision trees
- image classification
- benchmark datasets
- support vector machine
- cost sensitive
- evolutionary algorithm
- multi agent systems
- feature extraction
- monotonicity constraints
- learning algorithm