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ORCIDEnrico Collini
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2020 – today
- 2024
[j10]Enrico Collini
, Paolo Nesi, Claudia Raffaelli, Francesco Scandiffio:
Explainable Artificial Intelligence for Agile Mediation Propensity Assessment. IEEE Access 12: 37782-37798 (2024)- [j9]Enrico Collini, Luciano Alessandro Ipsaro Palesi, Paolo Nesi, Gianni Pantaleo, William Zhao:
Flexible thermal camera solution for Smart city people detection and counting. Multim. Tools Appl. 83(7): 20457-20485 (2024) - [j8]Pierfrancesco Bellini, Stefano Bilotta, Enrico Collini, Marco Fanfani, Paolo Nesi:
Data Sources and Models for Integrated Mobility and Transport Solutions. Sensors 24(2): 441 (2024) - [j7]Lorenzo Adreani, Pierfrancesco Bellini, Stefano Bilotta, Daniele Bologna, Enrico Collini, Marco Fanfani, Paolo Nesi:
Smart City Scenario Editor for General What-If Analysis. Sensors 24(7): 2225 (2024) - [c3]Edoardo Canti, Enrico Collini, Luciano Alessandro Ipsaro Palesi, Paolo Nesi:
Comparing Techniques for Temporal Explainable Artificial Intelligence. BigDataService 2024: 87-91 - [i1]Stefano Bilotta, Enrico Collini, Luciano Alessandro Ipsaro Palesi, Paolo Nesi:
Optimizing Mobility and Transport Infrastructures. ERCIM News 2024(138) (2024) - 2023
- [j6]Pierfrancesco Bellini, Enrico Collini, Paolo Nesi, Luciano Alessandro Ipsaro Palesi, Gianni Pantaleo:
Decision Support Enhancement Through Big Data Visual Analytics. J. Vis. Lang. Comput. 2023(1): 1-8 (2023) - [j5]Enrico Collini, Paolo Nesi, Gianni Pantaleo:
Reputation assessment and visitor arrival forecasts for data driven tourism attractions assessment. Online Soc. Networks Media 37-38: 100274 (2023) - [c2]Pierfrancesco Bellini, Stefano Bilotta, Enrico Collini, Marco Fanfani, Paolo Nesi:
Mobility and Transport Data for City Digital Twin Modeling and Exploitation. ISC2 2023: 1-7 - 2022
- [j4]Enrico Collini, Luciano Alessandro Ipsaro Palesi, Paolo Nesi, Gianni Pantaleo, Nicola Nocentini, Ascanio Rosi:
Predicting and Understanding Landslide Events With Explainable AI. IEEE Access 10: 31175-31189 (2022) - [j3]Stefano Bilotta, Enrico Collini, Paolo Nesi, Gianni Pantaleo:
Short-Term Prediction of City Traffic Flow via Convolutional Deep Learning. IEEE Access 10: 113086-113099 (2022) - 2021
- [j2]Enrico Collini, Paolo Nesi, Gianni Pantaleo:
Deep Learning for Short-Term Prediction of Available Bikes on Bike-Sharing Stations. IEEE Access 9: 124337-124347 (2021) - [j1]Enrico Collini, Paolo Nesi, Gianni Pantaleo:
Long-Term Predictions of Bike-Sharing Stations? Bikes Availability. J. Vis. Lang. Comput. 2021(1): 35-43 (2021) - [c1]Pierfrancesco Bellini, Stefano Bilotta, Daniele Cenni, Enrico Collini, Paolo Nesi, Gianni Pantaleo, Michela Paolucci:
Long Term Predictions of NO2 Average Values via Deep Learning. ICCSA (8) 2021: 595-610
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