Search Results for author:
Found 4 papers, 1 papers with code
TripMD: Driving patterns investigation via Motif Analysis
Processing driving data and investigating driving behavior has been receiving an increasing interest in the last decades, with applications ranging from car insurance pricing to policy making.
Exploring time-series motifs through DTW-SOM
In this paper, we argue that visually exploring time-series motifs computed by motif discovery algorithms can be useful to understand and debug results.
Learning the structure of Bayesian Networks: A quantitative assessment of the effect of different algorithmic schemes
One of the most challenging tasks when adopting Bayesian Networks (BNs) is the one of learning their structure from data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
