M. Albuquerque

Local versus Regional Soil Screening Levels to Identify Potentially Polluted Areas

J. Taboada, J. Gallego, S. Gerassis, 2019, Mathematical Geosciences.

Understanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering

Eduardo Giráldez, Javier Taboada, Julio F. García, 2019, Reliab. Eng. Syst. Saf..

A coupled multivariate statistics, geostatistical and machine-learning approach to address soil pollution in a prototypical Hg-mining site in a natural reserve.

S. Gerassis, E. Rodríguez-Valdés, E. Rodríguez-Valdés, 2019, Chemosphere.

Future habitat suitability for species under climate change – Lessons learned from the strawberry tree case study

J. Taboada, S. Gerassis, M. Ribeiro, 2021, Forest Ecology and Management.

Mapping occupational health risk factors in the primary sector—A novel supervised machine learning and Area-to-Point Poisson kriging approach

J. Taboada, A. Abad, S. Gerassis, 2020 .

Predicting ore content throughout a machine learning procedure – An Sn-W enrichment case study

Isabel Margarida Horta Ribeiro Antunes, M.T.D. Albuquerque, J. Martínez, 2020 .