Using Spatiotemporal Analysis in Urban Sprawl Assessment and Prediction. - Federico Amato; Piergiuseppe Pontrandolfi; Beniamino Murgante (ICCSA (2), 2014)

"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 (ICCSA (2), 2015)

A Quantitative Prediction of Soil Consumption in Southern Italy. - Federico Amato; Federico Martellozzo; Beniamino Murgante; Gabriele Nolè (ICCSA (3), 2015)

Citizens Participation in Improving Rural Communities Quality of Life. - Roberta Soligno; Francesco Scorza; Federico Amato; Giuseppe B. Las Casas; Beniamino Murgante (ICCSA (2), 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)

Urban Solar Energy Potential in Europe. - Federico Amato; Federico Martellozzo; Beniamino Murgante; Gabriele Nolè (ICCSA (3), 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)

A Quantitative Measure of Habitat Quality to Support the Implementation of Sustainable Urban Planning Measures. - Rosa Epifani; Federico Amato; Beniamino Murgante; Gabriele Nolè (ICCSA (6), 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 (ICCSA (4), 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 (ICCSA (6), 2017)

Hierarchical Spatial Distribution of Seismic Risk of Italian RC Buildings Stock. - Marco Vona; Monica Mastroberti; Federico Amato (ICCSA (2), 2017)

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)

Spatio-temporal evolution of global surface temperature distributions. - Federico Amato; Fabian Guignard; Vincent Humphrey; Mikhail F. Kanevski (CI, 2020)

On Feature Selection Using Anisotropic General Regression Neural Network. - Federico Amato; Fabian Guignard; Philippe Jacquet; Mikhail F. Kanevski (ESANN, 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)

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)

Uncertainty quantification in extreme learning machine: Analytical developments, variance estimates and confidence intervals. - Fabian Guignard; Federico Amato; Mikhail F. Kanevski (Neurocomputing, 2021)

Internet of Things and Artificial Intelligence for Sustainable Agriculture: A Use Case in Citrus Orchards. - Antonino Pagano; Federico Amato; Matteo Ippolito; Dario De Caro; Daniele Croce; Antonio Motisi; Giuseppe Provenzano; Ilenia Tinnirello (WF-IoT, 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, 2023)

An Analysis of the Airbnb Market: A Detailed Look at Four Italian Cities. - Francesco Paolo Del Giudice; Benedetto Manganelli; Pierfrancesco De Paola; Francesco Tajani; Federico Amato (ICCSA (Workshops 8), 2024)

A machine learning framework to estimate crop coefficient dynamics of citrus orchards. - Antonino Pagano; Federico Amato; Matteo Ippolito; Dario De Caro; Daniele Croce (Comput. Electron. Agric., 2025)