research
∙
01/11/2022
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles
Traffic forecasting models rely on data that needs to be sensed, process...
share
research
∙
12/02/2020
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Deep Learning methods have been proven to be flexible to model complex p...
research
∙
05/08/2020
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls
This work aims at unveiling the potential of Transfer Learning (TL) for ...
research
∙
04/17/2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment
In short-term traffic forecasting, the goal is to accurately predict fut...
research
∙
03/27/2020
