Returners and explorers dichotomy in human mobility L Pappalardo, F Simini, S Rinzivillo, D Pedreschi, F Giannotti, ... Nature communications 6 (1), 8166, 2015 | 482 | 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, 695-719, 2011 | 401 | 2011 |
Spatio-temporal clustering S Kisilevich, F Mansmann, M Nanni, S Rinzivillo Data mining and knowledge discovery handbook, 855-874, 2010 | 321 | 2010 |
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 | 307 | 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 | 285 | 2008 |
Movement data anonymity through generalization. A Monreale, GL Andrienko, NV Andrienko, F Giannotti, D Pedreschi, ... Trans. Data Priv. 3 (2), 91-121, 2010 | 226 | 2010 |
Benchmarking and survey of explanation methods for black box models F Bodria, F Giannotti, R Guidotti, F Naretto, D Pedreschi, S Rinzivillo Data Mining and Knowledge Discovery 37 (5), 1719-1778, 2023 | 198 | 2023 |
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 | 159 | 2011 |
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 | 128 | 2015 |
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 | 125 | 2012 |
Understanding the patterns of car travel L Pappalardo, S Rinzivillo, Z Qu, D Pedreschi, F Giannotti The European Physical Journal Special Topics 215, 61-73, 2013 | 123 | 2013 |
Using Spin to generate tests from ASM specifications A Gargantini, E Riccobene, S Rinzivillo International Workshop on Abstract State Machines, 263-277, 2003 | 107 | 2003 |
Discovering the geographical borders of human mobility S Rinzivillo, S Mainardi, F Pezzoni, M Coscia, D Pedreschi, F Giannotti KI-Künstliche Intelligenz 26, 253-260, 2012 | 99 | 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 | 96 | 2013 |
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 | 90 | 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, 1-26, 2014 | 87 | 2014 |
NDlib: a python library to model and analyze diffusion processes over complex networks G Rossetti, L Milli, S Rinzivillo Companion Proceedings of the The Web Conference 2018, 183-186, 2018 | 86 | 2018 |
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment M Nanni, G Andrienko, AL Barabási, C Boldrini, F Bonchi, C Cattuto, ... Ethics and Information Technology 23 (1), 1-6, 2021 | 73 | 2021 |
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 | 69 | 2014 |
Human mobility modelling: exploration and preferential return meet the gravity model L Pappalardo, S Rinzivillo, F Simini Procedia Computer Science 83, 934-939, 2016 | 66 | 2016 |