Ricardo Navares

Direct assessment of health impacts on hospital admission from traffic intensity in Madrid.

C. Linares, Julio Díaz, Ricardo Navares, 2020, Environmental research.

Forecasting Plantago pollen: improving feature selection through random forests, clustering, and Friedman tests

Ricardo Navares, J. Aznarte, 2019, Theoretical and Applied Climatology.

What are the most important variables for Poaceae airborne pollen forecasting?

Ricardo Navares, J. Aznarte, 2017, The Science of the total environment.

Predicting the Poaceae pollen season: six month-ahead forecasting and identification of relevant features

Ricardo Navares, José Luis Aznarte, Ricardo Navares, 2017, International Journal of Biometeorology.

Predicting air quality with deep learning LSTM: Towards comprehensive models

Ricardo Navares, José Luis Aznarte, Ricardo Navares, 2020, Ecol. Informatics.

Deep learning architecture to predict daily hospital admissions

Ricardo Navares, J. Aznarte, 2020, Neural Computing and Applications.

Deep learning architecture to predict daily hospital admissions

Ricardo Navares, José L. Aznarte, Ricardo Navares, 2020, Neural Computing and Applications.

Geographical Imputation of Missing Poaceae Pollen Data via Convolutional Neural Networks

Ricardo Navares, José Luis Aznarte, Ricardo Navares, 2019, Atmosphere.

Comparing ARIMA and computational intelligence methods to forecast daily hospital admissions due to circulatory and respiratory causes in Madrid

Ricardo Navares, Julio Díaz, Cristina Linares, 2018, Stochastic Environmental Research and Risk Assessment.