| 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, 2011 | 324 | 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 | 242 | 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 | 241 | 2008 |
| Spatio-temporal clustering S Kisilevich, F Mansmann, M Nanni, S Rinzivillo Data mining and knowledge discovery handbook, 855-874, 2009 | 198 | 2009 |
| Movement data anonymity through generalization. A Monreale, GL Andrienko, NV Andrienko, F Giannotti, D Pedreschi, ... Trans. Data Privacy 3 (2), 91-121, 2010 | 180 | 2010 |
| Returners and explorers dichotomy in human mobility L Pappalardo, F Simini, S Rinzivillo, D Pedreschi, F Giannotti, ... Nature communications 6, 8166, 2015 | 175 | 2015 |
| 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 | 121 | 2011 |
| Using Spin to generate tests from ASM specifications A Gargantini, E Riccobene, S Rinzivillo International Workshop on Abstract State Machines, 263-277, 2003 | 93 | 2003 |
| 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 | 86 | 2012 |
| Discovering the geographical borders of human mobility S Rinzivillo, S Mainardi, F Pezzoni, M Coscia, D Pedreschi, F Giannotti KI-Künstliche Intelligenz 26 (3), 253-260, 2012 | 73 | 2012 |
| 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 | 69 | 2013 |
| 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 | 66 | 2013 |
| Small area model-based estimators using big data sources S Marchetti, C Giusti, M Pratesi, N Salvati, F Giannotti, D Pedreschi, ... Journal of Official Statistics 31 (2), 263-281, 2015 | 57 | 2015 |
| 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), 10, 2014 | 56 | 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 | 41 | 2012 |
| 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 | 39 | 2015 |
| Analysis of GSM calls data for understanding user mobility behavior B Furletti, L Gabrielli, C Renso, S Rinzivillo 2013 IEEE International Conference on Big Data, 550-555, 2013 | 34 | 2013 |
| 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 | 29 | 2014 |
| Never drive alone: Boosting carpooling with network analysis R Guidotti, M Nanni, S Rinzivillo, D Pedreschi, F Giannotti Information Systems 64, 237-257, 2017 | 28 | 2017 |
| Traffic jams detection using flock mining R Ong, F Pinelli, R Trasarti, M Nanni, C Renso, S Rinzivillo, F Giannotti Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 28 | 2011 |
Dino PedreschiProfessor of Computer Science, University of PisaVerified email at di.unipi.it
