Salvatore Rinzivillo
Salvatore Rinzivillo
Verified email at - Homepage
Cited by
Cited by
Returners and explorers dichotomy in human mobility
L Pappalardo, F Simini, S Rinzivillo, D Pedreschi, F Giannotti, ...
Nature communications 6 (1), 1-8, 2015
Unveiling the complexity of human mobility by querying and mining massive trajectory data
F Giannotti, M Nanni, D Pedreschi, F Pinelli, C Renso, S Rinzivillo, ...
The VLDB Journal 20 (5), 695-719, 2011
Interactive visual clustering of large collections of trajectories
G Andrienko, N Andrienko, S Rinzivillo, M Nanni, D Pedreschi, F Giannotti
2009 IEEE Symposium on visual analytics science and technology, 3-10, 2009
Spatio-temporal clustering
S Kisilevich, F Mansmann, M Nanni, S Rinzivillo
Data mining and knowledge discovery handbook, 855-874, 2009
Visually driven analysis of movement data by progressive clustering
S Rinzivillo, D Pedreschi, M Nanni, F Giannotti, N Andrienko, G Andrienko
Information Visualization 7 (3-4), 225-239, 2008
Movement data anonymity through generalization.
A Monreale, GL Andrienko, NV Andrienko, F Giannotti, D Pedreschi, ...
Trans. Data Priv. 3 (2), 91-121, 2010
From movement tracks through events to places: Extracting and characterizing significant places from mobility data
G Andrienko, N Andrienko, C Hurter, S Rinzivillo, S Wrobel
2011 IEEE conference on visual analytics science and technology (VAST), 161-170, 2011
Scalable analysis of movement data for extracting and exploring significant places
G Andrienko, N Andrienko, C Hurter, S Rinzivillo, S Wrobel
IEEE transactions on visualization and computer graphics 19 (7), 1078-1094, 2012
Small area model-based estimators using big data sources
S Marchetti, C Giusti, M Pratesi, N Salvati, F Giannotti, D Pedreschi, ...
Using Spin to generate tests from ASM specifications
A Gargantini, E Riccobene, S Rinzivillo
International Workshop on Abstract State Machines, 263-277, 2003
Understanding the patterns of car travel
L Pappalardo, S Rinzivillo, Z Qu, D Pedreschi, F Giannotti
The European Physical Journal Special Topics 215 (1), 61-73, 2013
Discovering the geographical borders of human mobility
S Rinzivillo, S Mainardi, F Pezzoni, M Coscia, D Pedreschi, F Giannotti
KI-KŁnstliche Intelligenz 26 (3), 253-260, 2012
From tweets to semantic trajectories: mining anomalous urban mobility patterns
L Gabrielli, S Rinzivillo, F Ronzano, D Villatoro
International Workshop on Citizen in Sensor Networks, 26-35, 2013
Privacy-by-design in big data analytics and social mining
A Monreale, S Rinzivillo, F Pratesi, F Giannotti, D Pedreschi
EPJ Data Science 3, 1-26, 2014
A network-based approach to evaluate the performance of football teams
P Cintia, S Rinzivillo, L Pappalardo
Machine learning and data mining for sports analytics workshop, Porto, Portugal, 2015
NDlib: a python library to model and analyze diffusion processes over complex networks
G Rossetti, L Milli, S Rinzivillo, A SÓrbu, D Pedreschi, F Giannotti
International Journal of Data Science and Analytics 5 (1), 61-79, 2018
Benchmarking and survey of explanation methods for black box models
F Bodria, F Giannotti, R Guidotti, F Naretto, D Pedreschi, S Rinzivillo
arXiv preprint arXiv:2102.13076, 2021
Human mobility modelling: exploration and preferential return meet the gravity model
L Pappalardo, S Rinzivillo, F Simini
Procedia Computer Science 83, 934-939, 2016
The purpose of motion: Learning activities from individual mobility networks
S Rinzivillo, L Gabrielli, M Nanni, L Pappalardo, D Pedreschi, F Giannotti
2014 International conference on data science and advanced analytics (DSAA†…, 2014
Identifying users profiles from mobile calls habits
B Furletti, L Gabrielli, C Renso, S Rinzivillo
Proceedings of the ACM SIGKDD international workshop on urban computing, 17-24, 2012
The system can't perform the operation now. Try again later.
Articles 1–20