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05/17/2023
Nine tips for ecologists using machine learning
Due to their high predictive performance and flexibility, machine learni...
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08/25/2021
Trade-off between deep learning for species identification and inference about predator-prey co-occurrence: Reproducible R workflow integrating models in computer vision and ec
Deep learning is used in computer vision problems with important applica...
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07/20/2020
Bayesian Non-Parametric Detection Heterogeneity in Ecological Models
Detection heterogeneity is inherent to ecological data, arising from fac...
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02/24/2020
Uncovering ecological state dynamics with hidden Markov models
Ecological systems can often be characterised by changes among a set of ...
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12/20/2019
A mechanistic-statistical species distribution model to explain and forecast wolf (Canis lupus) colonization in South-Eastern France
Species distribution models (SDMs) are important statistical tools for e...
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04/03/2019
