Federico Amato

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

General Regression Neural Network

Machine Learning

Top Venues

Ecol. Informatics

Publications

Francesco Paolo Del Giudice, Benedetto Manganelli, Pierfrancesco De Paola, Francesco Tajani, Federico Amato
An Analysis of the Airbnb Market: A Detailed Look at Four Italian Cities. ICCSA (Workshops 8) (2024)
Antonino Pagano, Federico Amato, Matteo Ippolito, Dario De Caro, Daniele Croce, Antonio Motisi, Giuseppe Provenzano, Ilenia Tinnirello
Internet of Things and Artificial Intelligence for Sustainable Agriculture: A Use Case in Citrus Orchards. WF-IoT (2023)
Antonino Pagano, Federico Amato, Matteo Ippolito, Dario De Caro, Daniele Croce, Antonio Motisi, Giuseppe Provenzano, Ilenia Tinnirello
Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation. Ecol. Informatics 76 (2023)
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)
Federico Amato, Fabian Guignard, Philippe Jacquet, Mikhail F. Kanevski
On Feature Selection Using Anisotropic General Regression Neural Network. CoRR (2020)
Federico Amato, Marj Tonini, Beniamino Murgante, Mikhail F. Kanevski
Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal. Environ. Model. Softw. 104 (2018)
Rosa Epifani, Federico Amato, Beniamino Murgante, Gabriele Nolè
A Quantitative Measure of Habitat Quality to Support the Implementation of Sustainable Urban Planning Measures. ICCSA (6) (2017)
Marco Vona, Monica Mastroberti, Federico Amato
Hierarchical Spatial Distribution of Seismic Risk of Italian RC Buildings Stock. ICCSA (2) (2017)
Francesco Scorza, Luigi Santopietro, Beatrice Giuzio, Federico Amato, Beniamino Murgante, Giuseppe B. Las Casas
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). ICCSA (6) (2017)
Lucia Saganeiti, Federico Amato, Michele Potleca, Gabriele Nolè, Marco Vona, Beniamino Murgante
Change Detection and Classification of Seismic Damage with LiDAR and RADAR Surveys in Supporting Emergency Planning. The Case of Amatrice. ICCSA (4) (2017)
Flavia Di Palma, Federico Amato, Gabriele Nolè, Federico Martellozzo, Beniamino Murgante
A SMAP Supervised Classification of Landsat Images for Urban Sprawl Evaluation. ISPRS Int. J. Geo Inf. 5 (7) (2016)
Federico Amato, Federico Martellozzo, Beniamino Murgante, Gabriele Nolè
Urban Solar Energy Potential in Europe. ICCSA (3) (2016)
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
"Serpentone Reload" an Experience of Citizens Involvement in Regeneration of Peripheral Urban Spaces. ICCSA (2) (2015)
Federico Amato, Federico Martellozzo, Beniamino Murgante, Gabriele Nolè
A Quantitative Prediction of Soil Consumption in Southern Italy. ICCSA (3) (2015)
Roberta Soligno, Francesco Scorza, Federico Amato, Giuseppe B. Las Casas, Beniamino Murgante
Citizens Participation in Improving Rural Communities Quality of Life. ICCSA (2) (2015)
Federico Amato, Piergiuseppe Pontrandolfi, Beniamino Murgante
Supporting planning activities with the assessment and the prediction of urban sprawl using spatio-temporal analysis. Ecol. Informatics 30 (2015)
Federico Amato, Piergiuseppe Pontrandolfi, Beniamino Murgante
Using Spatiotemporal Analysis in Urban Sprawl Assessment and Prediction. ICCSA (2) (2014)