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National Meteorological Service

Argentina

2 papers here19 citations across 2
fields
  • cs.LG1
  • physics.ao-ph1
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most citedEvaluation of Machine Learning Techniques for Forecast Uncertainty Quantification

19 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • M. Pulido2 · h 16
  • M. Sacco2 · h 5
  • P. Tandeo2 · h 20
  • J. J. Ruiz1 · h 20
  • J. Ruiz1 · h 18
collaborating institutions
  • IMT AtlantiqueFR2 papers
  • Instituto Franco-Argentino sobre Estudios de Clima y sus ImpactosAR2 papers
  • National University of the NortheastAR2 papers
  • Universidad de Buenos AiresAR2 papers
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Consejo Nacional de Investigaciones Científicas y TécnicasAR1 paper
  • Fundación Ciencias Exactas y NaturalesAR1 paper
  • Institute of Astronomy and Space PhysicsAR1 paper
  • Laboratoire des Sciences et Techniques de l’Information de la Communication et de la ConnaissanceFR1 paper
  • Université de Bretagne OccidentaleFR1 paper
Showing cs.LGShow all

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cs.LG2021★ 19 cited

Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification

Maximiliano A. Sacco, Juan J. Ruiz, Manuel Pulido +1

Ensemble forecasting is, so far, the most successful approach to produce relevant forecasts with an estimation of their uncertainty. The main limitations of ensemble forecasting ar…

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