S. Dray

Zero-shot animal behavior classification with vision-language foundation models

This study uses vision-language foundation models to classify animal behaviors in camera trap images without prior training, achieving over 91% accuracy in three ungulate species.

Being confident in confidence scores : calibration in deep learning models for camera trap image sequences

This study evaluates the calibration of deep learning models for camera trap image sequences, showing that temperature scaling improves confidence score interpretability for ecological applications.

Insights on the effect of mega-carcass abundance on the population dynamics of a facultative scavenger predator and its prey

The paper examines how elephant carcass abundance affects hyaena and prey population dynamics in Hwange National Park using long-term data and statistical models.

PhylteR: efficient identification of outlier sequences in phylogenomic datasets

PhylteR identifies outlier sequences in phylogenomic datasets using DISTATIS, improving gene tree concordance with species trees.

Mycobacterium tuberculosis genetic features associated with pulmonary tuberculosis severity

This study identifies Mtb genetic features linked to pulmonary tuberculosis severity using whole genome sequencing and genome-wide association analysis.

Within-host genetic micro-diversity of Mycobacterium tuberculosis and the link with tuberculosis disease features

The paper shows that genetic diversity within Mycobacterium tuberculosis isolates from the same patient correlates with TB severity and is driven by adaptation to infection sites.

Determinants of genetic diversity and species richness of North American amphibians

The paper examines how resource availability and niche heterogeneity influence genetic diversity and species richness in North American amphibians, finding they predict species richness but not genetic diversity.

Genetic and species-level biodiversity patterns are linked by demography and ecological opportunity

The paper links genetic diversity and species richness patterns using a framework that incorporates ecological and demographic factors, showing shared spatial structure and explaining 78% of genetic diversity and 74% of species richness variation.