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cs.LG2022★ 1 cited
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability
Ibai Laña, Ignacio, Olabarrieta +1
The estimation of the amount of uncertainty featured by predictive machine learning models has acquired a great momentum in recent years. Uncertainty estimation provides the user w…
cs.LG2022
A Graph-based Methodology for the Sensorless Estimation of Road Traffic Profiles
Eric L. Manibardo, Ibai Laña, Esther Villar +1
Traffic forecasting models rely on data that needs to be sensed, processed, and stored. This requires the deployment and maintenance of traffic sensing infrastructure, often leadin…