Salvatore Rinzivillo

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Fosca Giannottiprofessor at Scuola Normale Superiore di PisaEmail confirmado em sns.it
Dino PedreschiProfessor of Computer Science, University of PisaEmail confirmado em di.unipi.it
Mirco NanniSenior Researcher at KDD Lab, ISTI-CNR, PisaEmail confirmado em isti.cnr.it
Luca PappalardoSenior Researcher at ISTI-CNR, Associate professor at Scuola Normale Superiore di PisaEmail confirmado em di.unipi.it
Natalia AndrienkoFraunhofer IAIS (lead scientist) & Lamarr Institute & City University London (professor)Email confirmado em iais.fraunhofer.de
Gennady Andrienkolead scientist @ Fraunhofer IAIS & Lamarr Institute & professor @ City University LondonEmail confirmado em iais.fraunhofer.de
Chiara RensoSenior researcher at ISTI - CNREmail confirmado em isti.cnr.it
Riccardo GuidottiAssociate Professor @ University of PisaEmail confirmado em unipi.it
Anna MonrealeUniversity of PisaEmail confirmado em di.unipi.it
Filippo SiminiArgonne National LaboratoryEmail confirmado em anl.gov
Roberto TrasartiKDD Lab, ISTI-CNR, PisaEmail confirmado em isti.cnr.it
Michele CosciaIT University of CopenhagenEmail confirmado em itu.dk
Fabio PinelliAssociate Professor, IMT LuccaEmail confirmado em imtlucca.it
Francesca PratesiUniversità di PisaEmail confirmado em di.unipi.it
Barbara FurlettiISTI - CNREmail confirmado em isti.cnr.it
Franco TuriniProfessor of Computer Science, University of Pisa, ItalyEmail confirmado em di.unipi.it
Christophe HurterProfessor at Fédération ENAC ISAE-SUPAERO ONERA, France. IPAL, SingaporeEmail confirmado em enac.fr
Florian MansmannUniversity of KonstanzEmail confirmado em uni-konstanz.de
Fabio PezzoniIIT-CNREmail confirmado em iit.cnr.it
Diego PennacchioliISTI CNREmail confirmado em isti.cnr.it

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Salvatore Rinzivillo

KDDLab, ISTI, CNR

Email confirmado em isti.cnr.it - Página inicial

Data Mining Mobility Analysis Artificial Intelligence Explainable AI


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Returners and explorers dichotomy in human mobility L Pappalardo, F Simini, S Rinzivillo, D Pedreschi, F Giannotti, ... Nature communications 6 (1), 8166, 2015	546	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	406	2011
Spatio-temporal clustering S Kisilevich, F Mansmann, M Nanni, S Rinzivillo Data mining and knowledge discovery handbook, 855-874, 2010	339	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	315	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	290	2008
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	286	2023
Movement data anonymity through generalization. A Monreale, GL Andrienko, NV Andrienko, F Giannotti, D Pedreschi, ... Trans. Data Priv. 3 (2), 91-121, 2010	236	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	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	137	2015
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	137	2013
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
Using Spin to generate tests from ASM specifications A Gargantini, E Riccobene, S Rinzivillo International Workshop on Abstract State Machines, 263-277, 2003	109	2003
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	107	2018
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	107	2012
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	96	2014
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	94	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	92	2015
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	79	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	73	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	71	2014

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