"Mathilde Mougeot" appeared in Books and Chapters

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Book	Author(s)	Year	Publisher
Renewable Energy: Forecasting and Risk Management: Paris, France, June 7-9, 2017	Philippe Drobinski; Mathilde Mougeot; Dominique Picard; Riwal Plougonven; Peter Tankov	1st ed. 2018	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
11. 1. Functional regression models	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
11. 2. Data Mining using sparse approximation of the intra day load curves	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
11. 2. 1. Choice of a generic dictionary	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
11. 2. 2. Mining and clustering	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
11. 2. 3. Patterns of consumption	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
11. 3. Sparse modeling with adaptive dictionaries	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
11. 4. Forecasting	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
11. 4. 1. The experts	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
11. 4. 2. Aggregation	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
11. 5. Performances & Software	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
11. 6. Conclusion and perspectives	Mathilde Mougeot	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems	Théo Saillant; Jean-Christophe Weill; Mathilde Mougeot	High Performance Computing: 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020, Proceedings	Ponnuswamy Sadayappan; Bradford L. Chamberlain; Guido Juckeland; Hatem Ltaief	1st ed. 2020	Springer International Publishing
Learning out of leaders	Gérard Kerkyacharian; Mathilde Mougeot; Dominique Picard; Karine Tribouley	Multiscale, Nonlinear and Adaptive Approximation: Dedicated to Wolfgang Dahmen on the Occasion of his 60th Birthday	Ronald DeVore; Angela Kunoth	2009	Springer Berlin Heidelberg
Homogeneous Climate Regions Using Learning Algorithms	Mathilde Mougeot; Dominique Picard; Vincent Lefieux; Miranda Marchand	Renewable Energy: Forecasting and Risk Management: Paris, France, June 7-9, 2017	Philippe Drobinski; Mathilde Mougeot; Dominique Picard; Riwal Plougonven; Peter Tankov	1st ed. 2018	Springer International Publishing
Forecasting Intra Day Load Curves Using Sparse Functional Regression	Mathilde Mougeot; Dominique Picard; Vincent Lefieux; Laurence Maillard-Teyssier	Modeling and Stochastic Learning for Forecasting in High Dimensions	Anestis Antoniadis; Jean-Michel Poggi; Xavier Brossat	2015	Springer International Publishing
Machine Learning Based Prediction of Fatigue Events in Railway Rails	Vincent Laurent; Olivier Vo Van; Mathilde Mougeot; Jean-Michel Ghidaglia	15th WCEAM Proceedings	João Onofre Pereira Pinto; Marcio Luiz Magri Kimpara; Renata Rezende Reis; Turuna Seecharan; Belle R. Upadhyaya; Joe Amadi-Echendu	1st ed. 2022	Springer International Publishing
Dictionary Comparison for Anomaly Detection on Aircraft Engine Spectrograms	Mina Abdel-Sayed; Daniel Duclos; Gilles Faÿ; Jérôme Lacaille; Mathilde Mougeot	Machine Learning and Data Mining in Pattern Recognition: 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings	Petra Perner	1st ed. 2016	Springer International Publishing
Unsupervised Multi-source Domain Adaptation for Regression	Guillaume Richard; Antoine de Mathelin; Georges Hébrail; Mathilde Mougeot; Nicolas Vayatis	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part I	Frank Hutter; Kristian Kersting; Jefrey Lijffijt; Isabel Valera	1st ed. 2021	Springer International Publishing
11. 7. Annexes	Mathilde Mougeot.1.1.Introduction /Jean-Jacques Droesbeke /Gilbert Saporta /Christine Thomas-Agnan	Model choice and model aggregation /	Bertrand, Frédéric,; Droesbeke, Jean-Jacques,; Saporta, G.; Thomas-Agnan, Christine,
From Numerical Weather Prediction Outputs to Accurate Local Surface Wind Speed: Statistical Modeling and Forecasts	Bastien Alonzo; Riwal Plougonven; Mathilde Mougeot; Aurélie Fischer; Aurore Dupré; Philippe Drobinski	Renewable Energy: Forecasting and Risk Management: Paris, France, June 7-9, 2017	Philippe Drobinski; Mathilde Mougeot; Dominique Picard; Riwal Plougonven; Peter Tankov	1st ed. 2018	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 21 entries