Within the field of software repository mining, it is common practice to extract change-events from source control systems and then abstract these events to allow for different a...
Multifractal analysis is a new and promising approach to analyze and characterize non-stationary signals such as seismic signals, electrocardiograms, heart rate variability signal...
Soundararajan Ezekiel, Matthew J. Barrick, Matthew...
Electroencephalographic (EEG) correlates of driving performance were studied using an event-related lane-departure paradigm. High-density EEG data were analyzed using independent c...
A pattern is a model or a template used to summarize and describe the behavior (or the trend) of a data having generally some recurrent events. Patterns have received a considerab...
We present a new active learning approach to incorporate
human feedback for on-line unusual event detection. In contrast to most
existing unsupervised methods that perform passiv...