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The Science of the Total Environment|August 7, 2023
Machine learning methods for low-cost pollen monitoring - Model optimisation and interpretabilitySophie A Mills, José M Maya-Manzano, Fiona Tummon, et al.
Environmental Research|August 12, 2022
Drivers of the release of the allergens Bet v 1 and Phl p 5 from birch and grass pollenJosé M Maya-Manzano, Jose Oteros, Jesús Rojo, et al.
The Science of the Total Environment|February 8, 2023
Constructing a pollen proxy from low-cost Optical Particle Counter (OPC) data processed with Neural Networks and Random ForestsSophie A Mills, Dimitrios Bousiotis, José M Maya-Manzano, et al.
The World Allergy Organization Journal|December 11, 2023
Environmental exposure and sensitization patterns in a Swiss alpine pediatric cohortKarin B Fieten, José M Maya-Manzano, Beate Rückert, et al.
Plos One|February 2, 2024
Predicting the main pollen season of Broussonetia Papyrifera (paper mulberry) treeAhmad Kakakhail, Aimal Rextin, Jeroen Buters, et al.
The Science of the Total Environment|October 14, 2023
Effects of climate change on Platanus flowering in Western Mediterranean cities: Current trends and future projectionsAntonio Picornell, José M Maya-Manzano, Marta Fernández-Ramos, et al.
Global Change Biology|August 7, 2021
Effects of future climate change on birch abundance and their pollen loadJesús Rojo, Jose Oteros, Antonio Picornell, et al.
The Science of the Total Environment|December 30, 2022
Towards European automatic bioaerosol monitoring: Comparison of 9 automatic pollen observational instruments with classic Hirst-type trapsJosé M Maya-Manzano, Fiona Tummon, Reto Abt, et al.
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