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ORCIDTRAP 2017: Rome, Italy
- Fabio Leuzzi, Stefano Ferilli:
Traffic Mining Applied to Police Activities - Proceedings of the 1st Italian Conference for the Traffic Police (TRAP-2017), Rome, Italy, October 25-26, 2017. Advances in Intelligent Systems and Computing 728, Springer 2018, ISBN 978-3-319-75607-3
Invited Talks
- Raffaele Lillo:
Data and Analytics Framework. How Public Sector Can Profit from Its Immense Asset, Data. 3-9 - Mirco Nanni:
Advancements in Mobility Data Analysis. 11-16
Technical Contributions
- Fabio Leuzzi, Emiliano Del Signore, Rosanna Ferranti:
Towards a Pervasive and Predictive Traffic Police. 19-35 - Stefano Ferilli, Domenico Redavid
:
A Process Mining Approach to the Identification of Normal and Suspect Traffic Behavior. 37-56 - José Manuel Rodríguez-Jiménez:
Detecting Criminal Behaviour Patterns in Spain and Italy Using Formal Concept Analysis. 57-68 - Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Chong Zhang, Mingke He:
Efficient and Accurate Traffic Flow Prediction via Fast Dynamic Tensor Completion. 69-82 - José Manuel Rodríguez-Jiménez, Jesus Cabrerizo, Dario Perez, Ignacio Sanchez:
Reducing the Risk of Accidents with Not Insured British Vehicles in Southern Spain. 83-95 - Massimo Bernaschi, Alessandro Celestini, Stefano Guarino, Flavio Lombardi, Enrico Mastrostefano:
Unsupervised Classification of Routes and Plates from the Trap-2017 Dataset. 97-114 - Samuele Capobianco, Luca Facheris, Fabrizio Cuccoli, Simone Marinai:
Vehicle Classification Based on Convolutional Networks Applied to FMCW Radar Signals. 115-128 - Massimo Bernaschi, Alessandro Celestini, Stefano Guarino, Flavio Lombardi, Enrico Mastrostefano:
Traffic Data: Exploratory Data Analysis with Apache Accumulo. 129-143 - Fabio Fumarola, Pasqua Fabiana Lanotte:
Exploiting Recurrent Neural Networks for Gate Traffic Prediction. 145-153
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