Author

F. Lindgren

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Animal Behavior & Cognition· 1 Ecology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:spatial domain detection· 1 Organism:virus· 1

Frequent Co-Authors

C. M. Zariquiey· 1 shared C. Tello· 1 shared D. G. Streicker· 1 shared F. Racimo· 1 shared G. A. Breed· 1 shared G. Gower· 1 shared J. Matthiopoulos· 1 shared P. Ianez Picazo· 1 shared

Activity by Year

2023-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperEcology

C. M. Zariquiey

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Inference of population genetics parameters using discriminator neural networks: an adversarial Monte Carlo approach

G. Gower, P. Ianez Picazo, F. Lindgren, F. Racimo

The paper introduces a discriminator neural network approach for inferring population genetics parameters using an adversarial Monte Carlo method, showing high accuracy on simulated data.

bioRxiv · Apr 27, 2023 · PreprintEvolutionary Biology

Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir.

R. Ribeiro, J. Matthiopoulos, F. Lindgren, C. Tello, C. M. Zariquiey, W. Valderrama, T. E. Rocke, D. G. Streicker

The paper predicts the spatial distribution of vampire bat roosts and identifies undetected hotspots to improve rabies spillover risk assessment.

bioRxiv · Apr 4, 2023Ecology

Accounting for unobserved spatial variation in step selection analyses of animal movement via spatial random effects

R. Arce Guillen, F. Lindgren, S. Muff, T. W. Glass, G. A. Breed, U. E. Schlaegel

This paper extends step selection analysis for animal movement by incorporating spatial random effects to account for spatial correlation, improving inference and prediction in wolverine tracking data.

bioRxiv · Jan 17, 2023Animal Behavior & Cognition