Federico Amato

According to our database, Federico Amato authored at least 18 papers between 2014 and 2023.

Collaborative distances:

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

2023

Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation.

Antonino Pagano, Federico Amato, Matteo Ippolito, Dario De Caro, Daniele Croce, Antonio Motisi, Giuseppe Provenzano, Ilenia Tinnirello

Ecol. Informatics, September, 2023

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

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

2018

Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal.

Federico Amato, Marj Tonini, Beniamino Murgante, Mikhail F. Kanevski

Environ. Model. Softw., 2018

2017

Hierarchical Spatial Distribution of Seismic Risk of Italian RC Buildings Stock.

Marco Vona, Monica Mastroberti, Federico Amato

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Conflicts Between Environmental Protection and Energy Regeneration of the Historic Heritage in the Case of the City of Matera: Tools for Assessing and Dimensioning of Sustainable Energy Action Plans (SEAP).

Francesco Scorza, Luigi Santopietro, Beatrice Giuzio, Federico Amato, Beniamino Murgante, Giuseppe B. Las Casas

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Change Detection and Classification of Seismic Damage with LiDAR and RADAR Surveys in Supporting Emergency Planning. The Case of Amatrice.

Lucia Saganeiti, Federico Amato, Michele Potleca, Gabriele Nolè, Marco Vona, Beniamino Murgante

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

A Quantitative Measure of Habitat Quality to Support the Implementation of Sustainable Urban Planning Measures.

Rosa Epifani, Federico Amato, Beniamino Murgante, Gabriele Nolè

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2016

A SMAP Supervised Classification of Landsat Images for Urban Sprawl Evaluation.

Flavia Di Palma, Federico Amato, Gabriele Nolè, Federico Martellozzo, Beniamino Murgante

ISPRS Int. J. Geo Inf., 2016

Urban Solar Energy Potential in Europe.

Federico Amato, Federico Martellozzo, Beniamino Murgante, Gabriele Nolè

Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

2015

Supporting planning activities with the assessment and the prediction of urban sprawl using spatio-temporal analysis.

Federico Amato, Piergiuseppe Pontrandolfi, Beniamino Murgante

Ecol. Informatics, 2015

Citizens Participation in Improving Rural Communities Quality of Life.

Roberta Soligno, Francesco Scorza, Federico Amato, Giuseppe B. Las Casas, Beniamino Murgante

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

A Quantitative Prediction of Soil Consumption in Southern Italy.

Federico Amato, Federico Martellozzo, Beniamino Murgante, Gabriele Nolè

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

"Serpentone Reload" an Experience of Citizens Involvement in Regeneration of Peripheral Urban Spaces.

Federico Amato, Sara Bellarosa, Giuseppe Biscaglia, Luca Catalano, Antonio Graziadei, Annalisa Metta, Beniamino Murgante, Maria Livia Olivetti, Pasquale Passannante, Annalisa Percoco, Gerardo Sassano, Francesco Scaringi

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

2014

Using Spatiotemporal Analysis in Urban Sprawl Assessment and Prediction.

Federico Amato, Piergiuseppe Pontrandolfi, Beniamino Murgante

Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014