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alexandra renouard
alexandra renouard
在 ic.ac.uk 的电子邮件经过验证
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Toward false event detection and quarry blast versus earthquake discrimination in an operational setting using semiautomated machine learning
A Renouard, A Maggi, M Grunberg, C Doubre, C Hibert
Seismological Society of America 92 (6), 3725-3742, 2021
222021
Paleogene V‐shaped basins and Neogene subsidence of the Northern Lesser Antilles Forearc
M Boucard, B Marcaillou, JF Lebrun, M Laurencin, F Klingelhoefer, ...
Tectonics 40 (3), e2020TC006524, 2021
222021
Context-based learning for Inhibition of alternative conceptions: the next step forward in science education
A Renouard, Y Mazabraud
npj Science of Learning 3 (1), 10, 2018
32018
Automatic detection and machine learning-based discrimination of earthquakes in northwestern intraplate Europe using SeisComP3 and the AlpArray network.
A Renouard, M Grunberg, C Doubre, A Maggi
Geophysical Research Abstracts 21, 2019
12019
The 2016 Mw 7.8 Pedernales, Ecuador earthquake: Minimum 1D Velocity Model and Regional Moment Tensors Based on the Aftershock Sequence
S Leon-Rios, AL Aguiar, L Bie, B Edwards, AJ Fuenzalida Velasco, J Holt, ...
AGU Fall Meeting Abstracts 2017, S53C-0717, 2017
12017
Conceptions of risk in the face of crises and the memory of events in tropical island territories. Ways of establishing a risk culture in the French West Indies
Y Mazabraud, AA Alou, A Renouard, B Jeannot-Fourcaud, T Forissier
37e International Geological Congress 2024 (IGC 2024), 2024
2024
Languages and natural risk prevention in diglossic territories: a study in Guadeloupe
B Jeannot-Fourcaud, Y Mazabraud, AA Alou, A Renouard, C Rousseau
37e International Geological Congress 2024 (IGC 2024), 2024
2024
How to Limit the Epistemic Failure of Machine Learning Models?
A Renouard, P Stafford, S Goes, A Whittaker, S Hicks
EGU24, 2024
2024
Unsupervised probabilistic machine learning applied to seismicity declustering: a new approach to represent earthquake catalogues with fewer assumptions
A Septier, A Renouard, J Déverchère, J Perrot
Authorea Preprints, 2023
2023
Can Seismicity Declustering be solved by Unsupervised Artificial Intelligence?
A Septier, A Renouard, J Déverchère, J Perrot
EGU General Assembly Conference Abstracts, EGU-5934, 2023
2023
Can Probabilistic Machine Learning Extract the Physical Mechanism of Induced Earthquakes in the Delaware Basin, West Texas?
A Renouard, P Stafford, SP Hicks, AC Whittaker, SDB Goes
AGU Fall Meeting Abstracts 2022, S33A-08, 2022
2022
Les conceptions du risque face aux crises et la mémoire des événements en territoire insulaire tropical. Modalités d’établissement d’une culture du risque aux Antilles
Y Mazabraud, AA Alou, M Clerveau, T Forissier, B Jeannot-Fourcaud, ...
10ème colloque du RIA, 2022
2022
The conceptions of Natural Risks in an archipelagic tropical environment: example with the perceptions of hurricane and earthquake risks in La Désirade island, Guadeloupe, FWI
C Alizée, Y Mazabraud, A Renouard, E Beck, T Forissier, ...
The Caribbean Academy of Sciences 22nd Biennial Conference, Guyana Chapter, 2021
2021
Détection automatique et classification basée sur l'apprentissage machine des séismes de faible magnitude dans une région continentale stable
A Renouard
Université de Strasbourg, 2020
2020
Contribution of Machine Learning to Earthquake Detection in High Anthropogenic Context
A Renouard, M Grunberg, C Doubre, A Maggi
AGU Fall Meeting Abstracts 2019, S43D-0685, 2019
2019
Reconnecting the students and their environment with geological field work.
Y Mazabraud, DO Ravachol, A Renouard
Geophysical Research Abstracts 21, 2019
2019
Building a precise seismic catalog in the intraplate northwestern European region from the AlpArray experiment
A Renouard, M Grunberg, C Doubre, A Maggi, M Bès de Berc, R Dretzen, ...
EGU General Assembly Conference Abstracts, 15328, 2018
2018
Focusing on interactions between individuals and their learning environment: a new step forward for Geoscience education
A Renouard, Y Mazabraud
EGU General Assembly Conference Abstracts, 10636, 2018
2018
Les facteurs majeurs contrôlant les conceptions initiales en Géosciences: cas de l’enseignement du magmatisme de subduction en Terminale S à Saint Martin, approche quantitative …
A Renouard
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