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Lanco Bertrand, Sophie
52  Ergebnisse:
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1

Machine and deep learning approaches to understand and pred..:

Garcia‐Quintas, Antonio ; Roy, Amédée ; Barbraud, Christophe...
Ecology and Evolution.  13 (2023)  9 - p. , 2023
Link: https://doi.org/10.1002/..
 
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2

From the light blue sky to the dark deep sea: Trophic and r..:

Eduardo, Leandro Nolé ; Lucena-Frédou, Flávia ; Lanco Bertrand, Sophie...
Science of The Total Environment.  878 (2023)  - p. 163098 , 2023
Link: https://doi.org/10.1016/..
 
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3

Deep inference of seabird dives from GPS-only records: Perf..:

Roy, Amédée ; Lanco Bertrand, Sophie ; Fablet, Ronan.
PLOS Computational Biology.  18 (2022)  3 - p. e1009890 , 2022
Link: https://doi.org/10.1371/..
 
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4

Producing a Diverse Set of Near-Optimal Reserve Solutions w..:

Brunel, Adrien ; Omer, Jérémy ; Lanco Bertrand, Sophie
Environmental Modeling & Assessment.  28 (2022)  4 - p. 619-634 , 2022
Link: https://doi.org/10.1007/..
 
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5

Mercury concentrations, biomagnification and isotopic discr..:

Le Croizier, Gaël ; Point, David ; Renedo, Marina...
Marine Pollution Bulletin.  177 (2022)  - p. 113481 , 2022
Link: https://doi.org/10.1016/..
 
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6

Biogeographic variation on dietary aspects of a widely dist..:

Jacoby, Júlia ; Luciano Mancini, Patricia ; Bertrand, Sophie Lanco...
Marine Biology.  170 (2023)  2 - p. , 2023
Link: https://doi.org/10.1007/..
 
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7

Using generative adversarial networks (GAN) to simulate cen..:

Roy, Amédée ; Fablet, Ronan ; Bertrand, Sophie Lanco
Methods in Ecology and Evolution.  13 (2022)  6 - p. 1275-1287 , 2022
Link: https://doi.org/10.1111/..
 
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8

ENSO Climate Forcing of the Marine Mercury Cycle in the Per..:

Renedo, Marina ; Point, David ; Sonke, Jeroen E....
Environmental Science & Technology.  55 (2021)  23 - p. 15754-15765 , 2021
Link: https://doi.org/10.1021/..
 
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9

Machine and deep learning approaches to understand and pred..:

Garcia‐Quintas, Antonio ; Roy, Amédée ; Barbraud, Christophe...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505760/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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10

Deep inference of seabird dives from GPS-only records: Perf..:

Roy, Amédée ; Lanco Bertrand, Sophie ; Fablet, Ronan
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1009890.  , 2022
Link: https://hal.umontpellier..
 
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11

Deep inference of seabird dives from GPS-only records: Perf..:

Roy, Amédée ; Lanco Bertrand, Sophie ; Fablet, Ronan
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1009890.  , 2022
Link: https://hal.umontpellier..
 
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12

Using generative adversarial networks (GAN) to simulate cen..:

Roy, Amédée ; Fablet, Ronan ; Lanco Bertrand, Sophie
info:eu-repo/semantics/altIdentifier/doi/10.1111/2041-210X.13853.  , 2022
Link: https://hal.umontpellier..
 
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13

Using generative adversarial networks (GAN) to simulate cen..:

Roy, Amédée ; Fablet, Ronan ; Lanco Bertrand, Sophie
info:eu-repo/semantics/altIdentifier/doi/10.1111/2041-210X.13853.  , 2022
Link: https://hal.umontpellier..
 
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14

Using generative adversarial networks (GAN) to simulate cen..:

Roy, Amédée ; Fablet, Ronan ; Lanco Bertrand, Sophie
info:eu-repo/semantics/altIdentifier/doi/10.1111/2041-210X.13853.  , 2022
Link: https://hal.umontpellier..
 
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15

Using generative adversarial networks (GAN) to simulate cen..:

Roy, Amédée ; Fablet, Ronan ; Lanco Bertrand, Sophie
info:eu-repo/semantics/altIdentifier/doi/10.1111/2041-210X.13853.  , 2022
Link: https://hal.umontpellier..
 
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