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Federico Amato
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2020 – today
- 2024
- [c13]Francesco Paolo Del Giudice
, Benedetto Manganelli
An Analysis of the Airbnb Market: A Detailed Look at Four Italian Cities. ICCSA (Workshops 8) 2024: 49-65 - 2023
- [j5]Antonino Pagano
Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation. Ecol. Informatics 76: 102133 (2023) - [c12]Antonino Pagano
Internet of Things and Artificial Intelligence for Sustainable Agriculture: A Use Case in Citrus Orchards. WF-IoT 2023: 1-6 - 2021
- [j4]Fabian Guignard, Federico Amato, Mikhail F. Kanevski:
Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals. Neurocomputing 456: 436-449 (2021) - [i5]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 abs/2108.00859 (2021) - 2020
- [c11]Federico Amato, Fabian Guignard, Vincent Humphrey, Mikhail F. Kanevski:
Spatio-temporal evolution of global surface temperature distributions. CI 2020: 37-43 - [c10]Federico Amato, Fabian Guignard, Philippe Jacquet, Mikhail F. Kanevski:
On Feature Selection Using Anisotropic General Regression Neural Network. ESANN 2020: 411-416 - [i4]Federico Amato, Fabian Guignard, Vincent Humphrey, Mikhail F. Kanevski:
Spatio-temporal evolution of global surface temperature distributions. CoRR abs/2006.12386 (2020) - [i3]Federico Amato, Fabian Guignard, Sylvain Robert, Mikhail F. Kanevski:
A Novel Framework for Spatio-Temporal Prediction of Climate Data Using Deep Learning. CoRR abs/2007.11836 (2020) - [i2]Federico Amato, Fabian Guignard, Philippe Jacquet, Mikhail F. Kanevski:
On Feature Selection Using Anisotropic General Regression Neural Network. CoRR abs/2010.05744 (2020) - [i1]Fabian Guignard, Federico Amato, Mikhail F. Kanevski:
Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals. CoRR abs/2011.01704 (2020)
2010 – 2019
- 2018
- [j3]Federico Amato
Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal. Environ. Model. Softw. 104: 171-187 (2018) - 2017
- [c9]Marco Vona, Monica Mastroberti, Federico Amato
Hierarchical Spatial Distribution of Seismic Risk of Italian RC Buildings Stock. ICCSA (2) 2017: 217-229 - [c8]Francesco Scorza
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: 527-539 - [c7]Rosa Epifani, Federico Amato
A Quantitative Measure of Habitat Quality to Support the Implementation of Sustainable Urban Planning Measures. ICCSA (6) 2017: 585-600 - [c6]Lucia Saganeiti
Change Detection and Classification of Seismic Damage with LiDAR and RADAR Surveys in Supporting Emergency Planning. The Case of Amatrice. ICCSA (4) 2017: 722-731 - 2016
- [j2]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): 109 (2016) - [c5]Federico Amato, Federico Martellozzo, Beniamino Murgante
Urban Solar Energy Potential in Europe. ICCSA (3) 2016: 443-453 - 2015
- [j1]Federico Amato
Supporting planning activities with the assessment and the prediction of urban sprawl using spatio-temporal analysis. Ecol. Informatics 30: 365-378 (2015) - [c4]Federico Amato
"Serpentone Reload" an Experience of Citizens Involvement in Regeneration of Peripheral Urban Spaces. ICCSA (2) 2015: 698-713 - [c3]Roberta Soligno, Francesco Scorza
Citizens Participation in Improving Rural Communities Quality of Life. ICCSA (2) 2015: 731-746 - [c2]Federico Amato, Federico Martellozzo, Beniamino Murgante
A Quantitative Prediction of Soil Consumption in Southern Italy. ICCSA (3) 2015: 798-812 - 2014
- [c1]Federico Amato
Using Spatiotemporal Analysis in Urban Sprawl Assessment and Prediction. ICCSA (2) 2014: 758-773
Coauthor Index
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last updated on 2024-10-07 21:13 CEST by the dblp team
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