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Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach.
Mashael Al-Luhaybi
Stephen Swift
Steve Counsell
Allan Tucker
Published in:
ICMLA (2022)
Keyphrases
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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