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Found 8 papers, 2 papers with code
Anomalous Behavior Detection in Trajectory Data of Older Drivers
Given a road network and a set of trajectory data, the anomalous behavior detection (ABD) problem is to identify drivers that show significant directional deviations, hardbrakings, and accelerations in their trips.
In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment
Driving is a complex daily activity indicating age and disease related cognitive declines.
Methods and Tools for Monitoring Driver's Behavior
In-vehicle sensing technology has gained tremendous attention due to its ability to support major technological developments, such as connected vehicles and self-driving cars.
Ontology-based Interpretable Machine Learning for Textual Data
In this paper, we introduce a novel interpreting framework that learns an interpretable model based on an ontology-based sampling technique to explain agnostic prediction models.
Improving Topic Coherence with Regularized Topic Models
To overcome this, we propose two methods to regularize the learning of topic models.
