Fabian Guignard

According to our database, Fabian Guignard authored at least 8 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

On Spatio-Temporal Data Modelling and Uncertainty Quantification using Machine Learning and Information Theory.

Fabian Guignard

PhD thesis, 2021

Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals.

Fabian Guignard, Federico Amato, Mikhail F. Kanevski

Neurocomputing, 2021

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

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

Model Variance for Extreme Learning Machine.

Fabian Guignard, Mohamed Laib, Mikhail F. Kanevski

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

On Feature Selection Using Anisotropic General Regression Neural Network.

Federico Amato, Fabian Guignard, Philippe Jacquet, Mikhail F. Kanevski

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Spatio-temporal evolution of global surface temperature distributions.

Federico Amato, Fabian Guignard, Vincent Humphrey, Mikhail F. Kanevski

Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2019

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