Salvatore Rinzivillo

发表

MOBILITY ATLAS BOOKLET: AN URBAN DASHBOARD DESIGN AND IMPLEMENTATION

Fosca Giannotti, Lorenzo Gabrielli, M. Rossi, 2018, SDSC 2018.

Movement data anonymity through generalization

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2009, SPRINGL '09.

Understanding Large Events by Semantic Analysis of Twitter Data

Francesco Ronzano, Lorenzo Gabrielli, Salvatore Rinzivillo, 2014, SEBD.

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science

Andrea Esuli, Claudio Gennaro, Fabrizio Sebastiani, 2018, A Comprehensive Guide Through the Italian Database Research.

Understanding Human Mobility with Big Data

Dino Pedreschi, Fosca Giannotti, Lorenzo Gabrielli, 2016, Solving Large Scale Learning Tasks.

Using Spin to Generate Testsfrom ASM Specifications

Angelo Gargantini, Elvinia Riccobene, Salvatore Rinzivillo, 2003, Abstract State Machines.

Validating general human mobility patterns on massive GPS data

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2013, SEBD.

Knowledge discovery from spatial transactions

Franco Turini, Salvatore Rinzivillo, F. Turini, 2007, Journal of Intelligent Information Systems.

Extracting spatial association rules from spatial transactions

Franco Turini, Salvatore Rinzivillo, F. Turini, 2005, GIS '05.

Spatio-temporal clustering

Slava Kisilevich, Florian Mansmann, Salvatore Rinzivillo, 2010, Data Mining and Knowledge Discovery Handbook.

Understanding the patterns of car travel

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2013 .

A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth

Giulio Rossetti, Luca Pappalardo, Salvatore Rinzivillo, 2016, CompleNet.

Exploring Real Mobility Data with M-Atlas

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010, ECML/PKDD.

Identifying users profiles from mobile calls habits

Chiara Renso, Barbara Furletti, Lorenzo Gabrielli, 2012, UrbComp '12.

Real Time Detection and Tracking of Spatial Event Clusters

Gennady L. Andrienko, Natalia V. Andrienko, Georg Fuchs, 2015, ECML/PKDD.

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment pdf

Dirk Helbing, Josep Domingo-Ferrer, Alex Pentland, 2020, Ethics and Information Technology.

Spatial and Temporal Evaluation of Network-Based Analysis of Human Mobility

Dino Pedreschi, Fosca Giannotti, Michele Coscia, 2014 .

Who/Where Are My New Customers?

Salvatore Ruggieri, Salvatore Rinzivillo, 2011, ISMIS Industrial Session.

Detection, tracking, and visualization of spatial event clusters for real time monitoring

Gennady L. Andrienko, Natalia V. Andrienko, Georg Fuchs, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data

Dino Pedreschi, Gennady L. Andrienko, Natalia V. Andrienko, 2009, SSTD.

Knowledge Discovery from Geographical Data

Franco Turini, Bart Kuijpers, Michael May, 2008, Mobility, Data Mining and Privacy.

Unveiling mobility complexity through complex network analysis

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2016, Social Network Analysis and Mining.

Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model

Luca Pappalardo, Filippo Simini, Salvatore Rinzivillo, 2016, ANT/SEIT.

A Generalisation-based Approach to Anonymising Movement Data

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010 .

Optimal Spatial Resolution for the Analysis of Human Mobility

Dino Pedreschi, Fosca Giannotti, Michele Coscia, 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

NDlib: a python library to model and analyze diffusion processes over complex networks

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2017, International Journal of Data Science and Analytics.

Unveiling the complexity of human mobility by querying and mining massive trajectory data

Dino Pedreschi, Fosca Giannotti, Chiara Renso, 2011, The VLDB Journal.

Classification in Geographical Information Systems

Franco Turini, Salvatore Rinzivillo, 2004, PKDD.

Privacy-Preserving Distributed Movement Data Aggregation

Wendy Hui Wang, Francesca Pratesi, Anna Monreale, 2013, AGILE Conf..

Car Traffic Monitoring

Davy Janssens, Mirco Nanni, Salvatore Rinzivillo, 2013, Mobility Data.

The retail market as a complex system

Dino Pedreschi, Fosca Giannotti, Michele Coscia, 2014, EPJ Data Science.

Explaining the product range effect in purchase data

Dino Pedreschi, Fosca Giannotti, Michele Coscia, 2013, 2013 IEEE International Conference on Big Data.

Traffic Jams Detection Using Flock Mining

Fosca Giannotti, Chiara Renso, Roberto Trasarti, 2011, ECML/PKDD.

6th IEEE Conference on Visual Analytics Science and Technology, IEEE VAST 2011, Providence, RI, USA, October 23-28, 2011

Xiao Zhang, Alex Endert, Matthew O. Ward, 2011, IEEE VAST.

Analysis and Visualization of Performance Indicators in University Admission Tests

Dino Pedreschi, Federica Licari, Daniele Fadda, 2019, FM Workshops.

Pandemic Modelling and Simulation - Introduction to the Special Theme

Joakim Sundnes, Salvatore Rinzivillo, Karin Rainer, 2021, ERCIM News.

Predicting seasonal influenza using supermarket retail records pdf

Alessandro Vespignani, Dino Pedreschi, Giulio Rossetti, 2020, PLoS Comput. Biol..

Never drive alone: Boosting carpooling with network analysis

Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, 2017, Inf. Syst..

Returners and explorers dichotomy in human mobility

Dino Pedreschi, Fosca Giannotti, Albert-László Barabási, 2015, Nature Communications.

Scalable Analysis of Movement Data for Extracting and Exploring Significant Places

Christophe Hurter, Stefan Wrobel, Gennady L. Andrienko, 2013, IEEE Transactions on Visualization and Computer Graphics.

Leveraging Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics

Gennady L. Andrienko, Natalia V. Andrienko, Salvatore Rinzivillo, 2016, ECML/PKDD.

Boosting Ride Sharing With Alternative Destinations

Raffaele Perego, Chiara Renso, Salvatore Rinzivillo, 2018, IEEE Transactions on Intelligent Transportation Systems.

Network-based Measures for Predicting the Outcomes of Football Games

Luca Pappalardo, Salvatore Rinzivillo, Paolo Cintia, 2015, MLSA@PKDD/ECML.

Discovering the Geographical Borders of Human Mobility

Dino Pedreschi, Fosca Giannotti, Fabio Pezzoni, 2012, KI - Künstliche Intelligenz.

The purpose of motion: Learning activities from Individual Mobility Networks

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2014, 2014 International Conference on Data Science and Advanced Analytics (DSAA).

Data Science for Simulating the Era of Electric Vehicles

Davy Janssens, Dino Pedreschi, Fosca Giannotti, 2012, KI - Künstliche Intelligenz.

Small Area Model-Based Estimators Using Big Data Sources

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2015 .

Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown pdf

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2020, ArXiv.

Examples of Integration of Induction and Deduction in Knowledge Discovery

Franco Turini, Miriam Baglioni, Barbara Furletti, 2006, Reasoning, Action and Interaction in AI Theories and Systems.

The ComeWithMe System for Searching and Ranking Activity-Based Carpooling Rides

Valéria Cesário Times, Raffaele Perego, Chiara Renso, 2016, SIGIR.

ComeWithMe: An Activity-Oriented Carpooling Approach

Valéria Cesário Times, Chiara Renso, Vinicius Monteiro de Lira, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

Privacy-Aware Distributed Mobility Data Analytics

Wendy Hui Wang, Francesca Pratesi, Anna Monreale, 2013, SEBD.

Visually driven analysis of movement data by progressive clustering

Dino Pedreschi, Fosca Giannotti, Gennady L. Andrienko, 2008, Inf. Vis..

NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks

Giulio Rossetti, Salvatore Rinzivillo, Letizia Milli, 2018, WWW.

Mobility data mining: discovering movement patterns from trajectory data

Dino Pedreschi, Fosca Giannotti, Chiara Renso, 2010, IWCTS '10.

NDlib: Studying Network Diffusion Dynamics

Dino Pedreschi, Giulio Rossetti, Fosca Giannotti, 2017, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Use of Mobile Phone Data to Estimate Visitors Mobility Flows

Fosca Giannotti, Mirco Nanni, Barbara Furletti, 2014, SEFM Workshops.

From movement tracks through events to places: Extracting and characterizing significant places from mobility data

Christophe Hurter, Stefan Wrobel, Gennady L. Andrienko, 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).

From Tweets to Semantic Trajectories: Mining Anomalous Urban Mobility Patterns

Daniel Villatoro, Francesco Ronzano, Lorenzo Gabrielli, 2013, CitiSens.

Analysis of GSM calls data for understanding user mobility behavior

Chiara Renso, Barbara Furletti, Lorenzo Gabrielli, 2013, 2013 IEEE International Conference on Big Data.

Investigating semantic regularity of human mobility lifestyle

Valéria Cesário Times, Chiara Renso, Vinicius Monteiro de Lira, 2014, IDEAS.

Exploiting Spatial Abstraction in Predictive Analytics of Vehicle Traffic

Gennady L. Andrienko, Natalia V. Andrienko, Salvatore Rinzivillo, 2015, ISPRS Int. J. Geo Inf..

Retrieving Points of Interest from Human Systematic Movements

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2014, SEFM Workshops.

A Visual Analytics Platform to Measure Performance on University Entrance Tests

Dino Pedreschi, Giuseppe Forte, Federica Licari, 2019, SEBD.

Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics

Gennady L. Andrienko, Natalia V. Andrienko, Salvatore Rinzivillo, 2016, Inf. Syst..

Learning Data Mining

Anna Monreale, Riccardo Guidotti, Salvatore Rinzivillo, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

Where Have You Been Today? Annotating Trajectories with DayTag

Vania Bogorny, Chiara Renso, Lorenzo Gabrielli, 2013, SSTD.

Privacy-by-design in big data analytics and social mining

Francesca Pratesi, Anna Monreale, Dino Pedreschi, 2014, EPJ Data Science.

Searching and Ranking Activity-based Carpooling Ride

Valéria Cesário Times, Raffaele Perego, Chiara Renso, 2016, IIR.

Activity-based Carpooling with ComeWithMe

Valéria Cesário Times, Raffaele Perego, Chiara Renso, 2016, SEBD.

Differential Privacy in Distributed Mobility Analytics

Wendy Hui Wang, Francesca Pratesi, Anna Monreale, 2013 .

Interactive visual clustering of large collections of trajectories

Dino Pedreschi, Fosca Giannotti, Gennady L. Andrienko, 2009, 2009 IEEE Symposium on Visual Analytics Science and Technology.

MAPMOLTY: A Web Tool for Discovering Place Loyalty Based on Mobile Crowdsource Data

Valéria Cesário Times, Chiara Renso, Vinicius Monteiro de Lira, 2014, ICWE.

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling

Patrick Gallinari, Riccardo Guidotti, Carlo Metta, 2021, 2021 IEEE Symposium on Computers and Communications (ISCC).

Explainable Deep Image Classifiers for Skin Lesion Diagnosis pdf

Fosca Giannotti, Patrick Gallinari, Riccardo Guidotti, 2021, ArXiv.

On some Foundational Aspects of Human-Centered Artificial Intelligence pdf

Teresa Scantamburlo, Alessandro Saffiotti, Paolo Traverso, 2021, ArXiv.

A network-based approach to evaluate the performance of football teams

Luca Pappalardo, Salvatore Rinzivillo, Paolo Cintia, 2015 .

Comparing General Mobility and Mobility by Car

Dino Pedreschi, Fosca Giannotti, Luca Pappalardo, 2013, 2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence.

Evaluation of Spatio-Temporal Microsimulation Systems

Luca Pappalardo, Bruno Kochan, Michael May, 2014 .

Experiences from Supporting Predictive Analytics of Vehicle Traffic

Gennady Andrienko, Natalia Andrienko, Salvatore Rinzivillo, 2014 .

44 Spatio-temporal clustering

Slava Kisilevich, Mirco Nanni, Florian Mansmann, 2010 .