Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach.
Mashael Al-LuhaybiStephen SwiftSteve CounsellAllan TuckerPublished in: ICMLA (2022)
Keyphrases
- multi label
- multi label classification
- machine learning
- learning tasks
- class labels
- text classification
- text categorization
- machine learning algorithms
- feature selection
- classifier training
- semi supervised learning
- image classification
- binary classification
- machine learning methods
- image annotation
- graph cuts
- naive bayes
- decision trees
- multi label image annotation
- classification algorithm
- multi label learning
- training data
- supervised learning
- multi instance
- learning problems
- max margin
- multiple labels
- data mining
- knowledge discovery
- training set
- support vector
- neural network
- text mining
- protein function prediction
- automatic text classification
- natural language processing
- support vector machine
- binary classifiers
- training samples
- hierarchical text categorization
- learning algorithm
- multi class
- feature set
- svm classifier
- data analysis
- image retrieval
- active learning