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2207.07580
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Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review
3 June 2022
S. Salcedo-Sanz
Jorge Pérez-Aracil
G. Ascenso
Javier Del Ser
D. Casillas-Pérez
C. Kadow
D. Fister
D. Barriopedro
R. García-Herrera
Marcello Restelli
M. Giuliani
A. Castelletti
AI4Cl
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Papers citing
"Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review"
5 / 5 papers shown
Title
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
C. Casanova-Mateo
J. Sanz-Justo
David Camacho
19
10
0
08 Jun 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
27
262
0
02 May 2023
Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques
D. Fister
Jorge Pérez-Aracil
César Peláez-Rodríguez
Javier Del Ser
S. Salcedo-Sanz
23
1
0
29 Sep 2022
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,233
0
24 Jun 2017
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,244
0
09 Jun 2011
1