Fabian Guignard

Publication Activity (10 Years)

Years Active: 2019-2021
Publications (10 Years): 10

Top Topics

General Regression Neural Network

Feature Selection

Top Venues

Publications

Fabian Guignard, Federico Amato, Mikhail F. Kanevski
Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals. Neurocomputing 456 (2021)
Federico Amato, Fabian Guignard, Alina Walch, Nahid Mohajeri, Jean-Louis Scartezzini, Mikhail F. Kanevski
Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential. CoRR (2021)
Federico Amato, Fabian Guignard, Sylvain Robert, Mikhail F. Kanevski
A Novel Framework for Spatio-Temporal Prediction of Climate Data Using Deep Learning. CoRR (2020)
Fabian Guignard, Federico Amato, Mikhail F. Kanevski
Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals. CoRR (2020)
Federico Amato, Fabian Guignard, Vincent Humphrey, Mikhail F. Kanevski
Spatio-temporal evolution of global surface temperature distributions. CI (2020)
Federico Amato, Fabian Guignard, Philippe Jacquet, Mikhail F. Kanevski
On Feature Selection Using Anisotropic General Regression Neural Network. ESANN (2020)
Federico Amato, Fabian Guignard, Vincent Humphrey, Mikhail F. Kanevski
Spatio-temporal evolution of global surface temperature distributions. CoRR (2020)
Fabian Guignard, Mohamed Laib, Mikhail F. Kanevski
Model Variance for Extreme Learning Machine. ESANN (2020)
Federico Amato, Fabian Guignard, Philippe Jacquet, Mikhail F. Kanevski
On Feature Selection Using Anisotropic General Regression Neural Network. CoRR (2020)
Fabian Guignard, Dasaraden Mauree, Michele Lovallo, Mikhail F. Kanevski, Luciano Telesca
Fisher-Shannon Complexity Analysis of High-Frequency Urban Wind Speed Time Series. Entropy 21 (1) (2019)