4 papers
SOCAIRE: Forecasting and Monitoring Urban Air Quality in Madrid
Rodrigo de Medrano, Víctor de Buen Remiro, José L. Aznarte
Air quality has become one of the main issues in public health and urban planning management, due to the proven adverse effects of high pollutant concentrations. Considering the mi…
On the Inclusion of Spatial Information for Spatio-Temporal Neural Networks
Rodrigo de Medrano, José L. Aznarte
When confronting a spatio-temporal regression, it is sensible to feed the model with any available prior information about the spatial dimension. For example, it is common to defin…
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction
Rodrigo de Medrano, José L. Aznarte
Spatio-temporal forecasting is an open research field whose interest is growing exponentially. In this work we focus on creating a complex deep neural framework for spatio-temporal…
Probabilistic forecasting approaches for extreme NO episodes: a comparison of models
Sebastián Pérez Vasseur, José L. Aznarte
High concentration episodes for NO are increasingly dealt with by authorities through traffic restrictions which are activated when air quality deteriorates beyond certain thre…