244 citations · 274 across the 6 of their papers we have counts for
6 papers
Nine tips for ecologists using machine learning
Marine Desprez, Vincent Miele, Olivier Gimenez
Due to their high predictive performance and flexibility, machine learning models are an appropriate and efficient tool for ecologists. However, implementing a machine learning mod…
Trade-off between deep learning for species identification and inference about predator-prey co-occurrence: Reproducible R workflow integrating models in computer vision and ecological statistics
Olivier Gimenez, Maëlis Kervellec, Jean-Baptiste Fanjul +4
Deep learning is used in computer vision problems with important applications in several scientific fields. In ecology for example, there is a growing interest in deep learning for…
Bayesian Non-Parametric Detection Heterogeneity in Ecological Models
Daniel Turek, Claudia Wehrhahn, Olivier Gimenez
Detection heterogeneity is inherent to ecological data, arising from factors such as varied terrain or weather conditions, inconsistent sampling effort, or heterogeneity of individ…
Uncovering ecological state dynamics with hidden Markov models
Brett T. McClintock, Roland Langrock, Olivier Gimenez +4
Ecological systems can often be characterised by changes among a finite set of underlying states pertaining to individuals, populations, communities, or entire ecosystems through t…
A mechanistic-statistical species distribution model to explain and forecast wolf (Canis lupus) colonization in South-Eastern France
Julie Louvrier, Julien Papaïx, Christophe Duchamp +1
Species distribution models (SDMs) are important statistical tools for ecologists to understand and predict species range. However, standard SDMs do not explicitly incorporate dyna…
Fitting stochastic predator-prey models using both population density and kill rate data
Frederic Barraquand, Olivier Gimenez
Most mechanistic predator-prey modelling has involved either parameterization from process rate data or inverse modelling. Here, we take a median road: we aim at identifying the po…