On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning

3 January 2024

Papers citing "On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning"

7 / 7 papers shown

Title
MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling Robin Zbinden Nina Van Tiel Gencer Sumbul Chiara Vanalli B. Kellenberger D. Tuia 44 0 0 17 Mar 2025
Heterogeneous graph neural networks for species distribution modeling Lauren Harrell Christine Kaeser-Chen Burcu Karagol Ayan Keith Anderson Michelangelo Conserva Elise Kleeman Maxim Neumann Matt Overlan Melissa Chapman Drew Purves 49 0 0 14 Mar 2025
Few-shot Species Range Estimation Christian Lange Max Hamilton Elijah Cole Alexander Shepard Samuel Heinrich Angela Zhu Subhransu Maji Grant Van Horn Oisin Mac Aodha 81 0 0 24 Feb 2025
Multi-Scale and Multimodal Species Distribution Modeling Nina Van Tiel Robin Zbinden Emanuele Dalsasso B. Kellenberger Loïc Pellissier D. Tuia 16 1 0 06 Nov 2024
Generating Binary Species Range Maps Filip Dorm Christian Lange S. Loarie Oisin Mac Aodha 36 3 0 28 Aug 2024
GeoPlant: Spatial Plant Species Prediction Dataset Lukás Picek Christophe Botella Maximilien Servajean César Leblanc Rémi Palard Théo Larcher Benjamin Deneu Diego Marcos P. Bonnet Alexis Joly 30 8 0 25 Aug 2024
Imbalance-aware Presence-only Loss Function for Species Distribution Modeling Robin Zbinden Nina Van Tiel M. Rußwurm D. Tuia 32 4 0 12 Mar 2024