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Wacquet Guillaume

Main Referenced Co-authors
GROSJEAN, Philippe  (5)
Lefebvre, Alain (4)
Artigas, Luis Felipe (2)
Belin, Catherine (2)
Blondel, Camille (2)
Main Referenced Keywords
English Channel (1); HABs (1); harmful algal bloom (1); Machine learning (1); machine learning (1);
Main Referenced Disciplines
Phytobiology (plant sciences, forestry, mycology...) (5)
Mathematics (4)
Environmental sciences & ecology (1)

Publications (total 5)

The most downloaded
168 downloads
Wacquet, G., Lefebvre, A., Blondel, C., Louchart, A., Grosjean, P., & Artigas, L. F. (23 October 2018). Combination of 'machine learning' methodologies and imaging- in-flow system to detect Harmful Algae semi-automatically [Poster presentation]. 18th International Conference on Harmful Algae, Nantes, France. https://hdl.handle.net/20.500.12907/4271

Wacquet, G., Lefebvre, A., Blondel, C., Louchart, A., Grosjean, P., Neaud-Masson, N., Belin, C., & Artigas, L. F. (2020). Combination of 'machine learning' methodologies and imaging- in-flow system to detect Harmful Algae semi-automatically [Paper presentation]. 18th International Conference on Harmful Algae, Nantes, France.

Wacquet, G., Lefebvre, A., Blondel, C., Louchart, A., Grosjean, P., & Artigas, L. F. (23 October 2018). Combination of 'machine learning' methodologies and imaging- in-flow system to detect Harmful Algae semi-automatically [Poster presentation]. 18th International Conference on Harmful Algae, Nantes, France.

Wacquet, G., Lefebvre, A., Neaud-Masson, N., Belin, C., & Grosjean, P. (13 June 2014). Etude et caractérisation de la dynamique et de la diversité phytoplanctonique par analyse d'images et classification semi-automatisée [Paper presentation]. Instrumentation haute fréquence pour l'observation et la surveillance de l'environnement marin, Boulogne-sur-mer, France.

Wacquet, G., Lefebvre, A., Colas, F., & Grosjean, P. (2014). Finalisation d'un outil préopérationnel FlowCAM / ZooPhytoImage.

Ali, N., Wacquet, G., Didry, M., Hamad, D., & Grosjean, P. (2014). Utilisation conjointe de FlowCAM / ZooPhytoImage et de la cytométrie en flux. Premiers résultats et perspectives.

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