A Comparative Study on Machine Learning Techniques for Intense Convective Rainfall Events Forecasting

DOI10.1007/978-3-030-56219-9_20OpenAlexW3108444167MaRDI QIDQ5048369

Eugenio Realini, Matteo Sangiorgio, Enrico Solazzo, Riccardo Biondi, Stefano Barindelli, Valerio Guglieri, G. Venuti, Giorgio Guariso

Publication date: 16 November 2022

Published in: Contributions to Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-56219-9_20

zbMATH Keywords

logistic regressionsupport vector machinesnowcastingrandom forestglobal navigation satellite systemdeep neural networkszenith tropospheric delay

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)

Uses Software

• Scikit
• TensorFlow
• Keras

Cites Work

• Unnamed Item
• Measuring classifier performance: a coherent alternative to the area under the ROC curve
• Theoretical foundations of the potential function method in pattern recognition learning
• A random forest guided tour
• Learning Deep Architectures for AI

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