Outlier and anomaly pattern detection on data streams

Predicting the EEG Level of a Driver Based on Driving Information

Emerging topic detection in twitter stream based on high utility pattern mining

An Efficient Concept Drift Detection Method for Streaming Data under Limited Labeling

Concept Drift Detection on Streaming Data under Limited Labeling

An Active Learning Method for Data Streams with Concept Drift

Prototype-based sample selection for active hashing

Query by humming based on multiple spectral hashing and scaled open-end dynamic time warping

Driver workload characteristics analysis using EEG data from an urban road

BATCH MODE ACTIVE LEARNING FOR GRAPH-BASED SEMI-SUPERVISED LEARNING