Reduction of detection limit and quantification uncertainty due to interferent by neural classification with abstention.
Alex HagenKen JarmanJesse WardGreg EidenCharles BarinagaEmily MaceCraig AalsethAnthony CaradoPublished in: CoRR (2022)
Keyphrases
- classification models
- classification scheme
- classification accuracy
- feature selection
- classification process
- classification systems
- machine learning
- robust detection
- feature vectors
- image classification
- detection algorithm
- support vector machine svm
- false positives
- microcalcification clusters
- automatic detection
- decision trees
- supervised learning
- preprocessing
- model selection
- uncertain data
- neural network
- neyman pearson
- discriminative classifiers
- robust optimization
- support vector
- pattern recognition
- false alarms
- object detection
- pattern classification
- classification rules
- machine learning methods
- classification algorithm
- decision rules
- data sets
- machine learning algorithms
- text classification