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Benjamin Mercier
Benjamin Mercier
Masters student, Université de Sherbrooke
在 usherbrooke.ca 的电子邮件经过验证
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引用次数
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A roadmap towards predicting species interaction networks (across space and time)
T Strydom, MD Catchen, F Banville, D Caron, G Dansereau, ...
Philosophical Transactions of the Royal Society B 376 (1837), 20210063, 2021
692021
Global knowledge gaps in species interaction networks data
T Poisot, G Bergeron, K Cazelles, T Dallas, D Gravel, A MacDonald, ...
Journal of Biogeography 48 (7), 1552-1563, 2021
65*2021
Food web reconstruction through phylogenetic transfer of low‐rank network representation
T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ...
Methods in Ecology and Evolution 13 (12), 2838-2849, 2022
252022
Graph embedding and transfer learning can help predict potential species interaction networks despite data limitations
T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ...
EcoEvoRxiv, 2022
62022
Environmental Biases in the Study of Ecological Networks at the Planetary Scale.” bioRxiv, 2020.01. 27.921429
T Poisot, G Bergeron, K Cazelles, T Dallas, D Gravel, A Macdonald, ...
52020
Predicting metawebs: transfer of graph embeddings can help alleviate spatial data deficiencies
T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ...
12022
A primer on predicting species interaction networks (across space and time)
T Strydom, MD Catchen, F Banville, D Caron, G Dansereau, ...
EcoEvoRxiv, 2021
12021
Third article
T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ...
Tools’ O the Times: Understanding the common properties of species …, 2023
2023
Second article
T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ...
Tools’ O the Times: Understanding the common properties of species …, 2023
2023
Graph embedding and transfer learning can help pre-dict species interaction networks despite data limita-tions
T Strydom, S Bouskila, F Banville, C Barros, D Caron, MJ Farrell, ...
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