Species Distribution Modeling for Machine Learning Practitioners: A
Review

Species Distribution Modeling for Machine Learning Practitioners: A Review

3 July 2021

Papers citing "Species Distribution Modeling for Machine Learning Practitioners: A Review"

17 / 17 papers shown

Title
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 21 1 0 06 Nov 2024
Hybrid Spatial Representations for Species Distribution Modeling Shiran Yuan Hao Zhao 30 0 0 14 Oct 2024
Combining Observational Data and Language for Species Range Estimation Max Hamilton Christian Lange Elijah Cole Alexander Shepard Samuel Heinrich Oisin Mac Aodha Grant Van Horn Subhransu Maji 23 5 0 14 Oct 2024
Generating Binary Species Range Maps Filip Dorm Christian Lange S. Loarie Oisin Mac Aodha 42 3 0 28 Aug 2024
Predicting Species Occurrence Patterns from Partial Observations Hager Radi Abdelwahed Mélisande Teng David Rolnick 11 1 0 26 Mar 2024
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling S. Sastry Xin Xing A. Dhakal Subash Khanal Adeel Ahmad Nathan Jacobs 39 5 0 13 Dec 2023
Active Learning-Based Species Range Estimation Christian Lange Elijah Cole Grant Van Horn Oisin Mac Aodha AI4TS 32 8 0 03 Nov 2023
SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data Mélisande Teng Amna Elmustafa Benjamin Akera Yoshua Bengio Hager Radi Abdelwahed Hugo Larochelle David Rolnick 9 4 0 02 Nov 2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping Elijah Cole Grant Van Horn Christian Lange Alexander Shepard Patrick R. Leary Pietro Perona S. Loarie Oisin Mac Aodha 31 36 0 05 Jun 2023
Bird Distribution Modelling using Remote Sensing and Citizen Science data Mélisande Teng Amna Elmustafa Benjamin Akera Hugo Larochelle David Rolnick 71 8 0 01 May 2023
Conservation Tools: The Next Generation of Engineering--Biology Collaborations Andrew Schulz Cassie Shriver Suzanne Stathatos Benjamin Seleb E. Weigel Young-Hui Chang M. S. Bhamla David Hu Biomolecular Engineering Georgia Tech Zoo Atlanta 16 14 0 03 Jan 2023
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 45 127 0 11 Apr 2022
TIML: Task-Informed Meta-Learning for Agriculture Gabriel Tseng Hannah Kerner David Rolnick 19 7 0 04 Feb 2022
On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa I. Yusuf Kale-ab Tessera Thomas Tumiel Zohra Slim Amine Kerkeni Sella Nevo Arnu Pretorius 14 2 0 06 Nov 2021
Seeing biodiversity: perspectives in machine learning for wildlife conservation D. Tuia B. Kellenberger Sara Beery Blair R. Costelloe Silvia Zuffi ... I. Couzin Grant Van Horn M. Crofoot Chuck Stewart T. Berger-Wolf 33 392 0 25 Oct 2021