Fisher-Shannon Complexity Analysis of High-Frequency Urban Wind Speed Time Series. - Fabian Guignard; Dasaraden Mauree; Michele Lovallo; Mikhail F. Kanevski; Luciano Telesca (Entropy, 2019)

Spatio-temporal evolution of global surface temperature distributions. - Federico Amato; Fabian Guignard; Vincent Humphrey; Mikhail F. Kanevski (CI, 2020)

On Feature Selection Using Anisotropic General Regression Neural Network. - Federico Amato; Fabian Guignard; Philippe Jacquet; Mikhail F. Kanevski (ESANN, 2020)

Model Variance for Extreme Learning Machine. - Fabian Guignard; Mohamed Laib; Mikhail F. Kanevski (ESANN, 2020)

A Novel Framework for Spatio-Temporal Prediction of Climate Data Using Deep Learning. - Federico Amato; Fabian Guignard; Sylvain Robert; Mikhail F. Kanevski (CoRR, 2020)

Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential. - Federico Amato; Fabian Guignard; Alina Walch; Nahid Mohajeri; Jean-Louis Scartezzini; Mikhail F. Kanevski (CoRR, 2021)

Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals. - Fabian Guignard; Federico Amato; Mikhail F. Kanevski (Neurocomputing, 2021)