Salvatore Rinzivillo

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Fosca Giannottiprofessor at Scuola Normale Superiore di PisaVerificeret mail på sns.it
Dino PedreschiProfessor of Computer Science, University of PisaVerificeret mail på di.unipi.it
Mirco NanniSenior Researcher at KDD Lab, ISTI-CNR, PisaVerificeret mail på isti.cnr.it
Luca PappalardoSenior Researcher at ISTI-CNR, Associate professor at Scuola Normale Superiore di PisaVerificeret mail på di.unipi.it
Natalia AndrienkoFraunhofer IAIS (lead scientist) & Lamarr Institute & City University London (professor)Verificeret mail på iais.fraunhofer.de
Gennady Andrienkolead scientist @ Fraunhofer IAIS & Lamarr Institute & professor @ City University LondonVerificeret mail på iais.fraunhofer.de
Chiara RensoSenior researcher at ISTI - CNRVerificeret mail på isti.cnr.it
Riccardo GuidottiAssistant Professor @ University of PisaVerificeret mail på unipi.it
Anna MonrealeUniversity of PisaVerificeret mail på di.unipi.it
Roberto TrasartiKDD Lab, ISTI-CNR, PisaVerificeret mail på isti.cnr.it
Filippo SiminiArgonne National LaboratoryVerificeret mail på anl.gov
Michele CosciaIT University of CopenhagenVerificeret mail på itu.dk
Fabio PinelliAssociate Professor, IMT LuccaVerificeret mail på imtlucca.it
Francesca PratesiUniversità di PisaVerificeret mail på di.unipi.it
Barbara FurlettiISTI - CNRVerificeret mail på isti.cnr.it
Franco TuriniProfessor of Computer Science, University of Pisa, ItalyVerificeret mail på di.unipi.it
Christophe HurterProfessor at Fédération ENAC ISAE-SUPAERO ONERA, France. IPAL, SingaporeVerificeret mail på enac.fr
Florian MansmannUniversity of KonstanzVerificeret mail på uni-konstanz.de
Fabio PezzoniIIT-CNRVerificeret mail på iit.cnr.it
Diego PennacchioliISTI CNRVerificeret mail på isti.cnr.it

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Salvatore Rinzivillo

KDDLab, ISTI, CNR

Verificeret mail på isti.cnr.it - Startside

Data Mining Mobility Analysis Artificial Intelligence Explainable AI


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Returners and explorers dichotomy in human mobility L Pappalardo, F Simini, S Rinzivillo, D Pedreschi, F Giannotti, ... Nature communications 6 (1), 8166, 2015	522	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	410	2011
Spatio-temporal clustering S Kisilevich, F Mansmann, M Nanni, S Rinzivillo Data mining and knowledge discovery handbook, 855-874, 2010	327	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	313	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	289	2008
Movement data anonymity through generalization. A Monreale, GL Andrienko, NV Andrienko, F Giannotti, D Pedreschi, ... Trans. Data Priv. 3 (2), 91-121, 2010	235	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	229	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	160	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	134	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	134	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	126	2012
Using Spin to generate tests from ASM specifications A Gargantini, E Riccobene, S Rinzivillo International Workshop on Abstract State Machines, 263-277, 2003	108	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	105	2012
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	96	2018
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
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	94	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	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	75	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	75	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	69	2016

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