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researcher

Jorge P'erez-Aracil

3 papers hereh-index 237 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • physics.ao-ph1

identity via Semantic Scholar / OpenAlex

most citedAnalysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review

6 citations · 12 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023★ 4 cited

Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information

Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil +3

Each year, wildfires destroy larger areas of Spain, threatening numerous ecosystems. Humans cause 90% of them (negligence or provoked) and the behaviour of individuals is unpredict…

physics.ao-ph2022★ 2 cited

Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques

Dušan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez +2

In this paper three customised Artificial Intelligence (AI) frameworks, considering Deep Learning (convolutional neural networks), Machine Learning algorithms and data reduction te…

cs.LG2022★ 6 cited

Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review

Sancho Salcedo-Sanz, Jorge Pérez-Aracil, Guido Ascenso +9

Atmospheric Extreme Events (EEs) cause severe damages to human societies and ecosystems. The frequency and intensity of EEs and other associated events are increasing in the curren…

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