Classification in data streams: dealing with anomalies, novelties and scarcity of ...
Data stream classification in the presence of concept drifts using non-supervised ...
Exploring visual analytics for supporting the user in active learning
Novelty Detection in Multi-Label Data Streams Classification
Active learning model with neural networks for applications with costly labeling
Classification and quantification in non-stationary data streams with concept drift
Evaluation of novelty detection algorithms for multi-label data streams classifica...