On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory - Guignard, Fabian
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Présentation On Spatio - Temporal Data Modelling And Uncertainty Quantification Using Machine Learning And Information Theory ...
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Résumé :
Dr. Fabian Guignard is an environmental data scientist born in 1983 in Switzerland. He received a M.S. degree in Mathematics from Ecole Polytechnique F?d?rale de Lausanne (EPFL, Switzerland) in 2015 and a Ph.D. in Environmental Sciences from the University of Lausanne (UNIL, Switzerland) in 2021. His main research interests lie at the intersection of applied mathematics and computer science, including machine learning, uncertainty quantification and their applications to environmental spatio-temporal statistics....
Biographie:
Dr. Fabian Guignard is an environmental data scientist born in 1983 in Switzerland. He received a M.S. degree in Mathematics from Ecole Polytechnique F?d?rale de Lausanne (EPFL, Switzerland) in 2015 and a Ph.D. in Environmental Sciences from the University of Lausanne (UNIL, Switzerland) in 2021. His main research interests lie at the intersection of applied mathematics and computer science, including machine learning, uncertainty quantification and their applications to environmental spatio-temporal statistics.
Sommaire: Introduction.- Study Area and Data Sets.- Advanced Exploratory Data Analysis.- Fisher-Shannon Analysis.- Spatio-Temporal Prediction with Machine Learning.- Uncertainty Quantification with Extreme Learning Machine.- Spatio-Temporal Modelling using Extreme Learning Machine.- Conclusions, Perspectives and Recommendations.
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