Publications

Linear-In-The-Parameters Oblique Least Squares (LOLS) Provides More Accurate Estimates of Density-Dependent Survival.

Vieira V. M. N. C. S., Engelen, A. H., Huanel, O. R., Guillemin, M.-L., (2016)

PLoS ONE, 11(12), e0167418

https://www.researchgate.net/publication/311549993_Linear-In-The-Parameters_Oblique_Least_Squares_LOLS_Provides_More_Accurate_Estimates_of_Density-Dependent_Survival

Assessing the reliability of a physical-based model and a convolutional neural network in an ungauged watershed for daily streamflow calculation: a case study in southern Portugal

Published in "Environmental Earth Sciences".

2024-04-03
https://link.springer.com/article/10.1007/s12665-024-11498-1