Using Spin to Generate Testsfrom ASM Specifications. - Angelo Gargantini; Elvinia Riccobene; Salvatore Rinzivillo (Abstract State Machines, 2003)

Classification in Geographical Information Systems. - Salvatore Rinzivillo; Franco Turini (PKDD, 2004)

Extracting spatial association rules from spatial transactions. - Salvatore Rinzivillo; Franco Turini (GIS, 2005)

Knowledge discovery from spatial transactions. - Salvatore Rinzivillo (2005)

Examples of Integration of Induction and Deduction in Knowledge Discovery. - Franco Turini; Miriam Baglioni; Barbara Furletti; Salvatore Rinzivillo (Reasoning, Action and Interaction in AI Theories and Systems, 2006)

Knowledge discovery from spatial transactions. - Salvatore Rinzivillo; Franco Turini (J. Intell. Inf. Syst., 2007)

Visually driven analysis of movement data by progressive clustering. - Salvatore Rinzivillo; Dino Pedreschi; Mirco Nanni; Fosca Giannotti; Natalia V. Andrienko; Gennady L. Andrienko (Inf. Vis., 2008)

Knowledge Discovery from Geographical Data. - Salvatore Rinzivillo; Franco Turini; Vania Bogorny; Christine Körner; Bart Kuijpers; Michael May 001 (Mobility, Data Mining and Privacy, 2008)

Interactive visual clustering of large collections of trajectories. - Gennady L. Andrienko; Natalia V. Andrienko; Salvatore Rinzivillo; Mirco Nanni; Dino Pedreschi; Fosca Giannotti (IEEE VAST, 2009)

A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data. - Gennady L. Andrienko; Natalia V. Andrienko; Salvatore Rinzivillo; Mirco Nanni; Dino Pedreschi (SSTD, 2009)

Mobility data mining: discovering movement patterns from trajectory data. - Fosca Giannotti; Mirco Nanni; Dino Pedreschi; Fabio Pinelli; Chiara Renso; Salvatore Rinzivillo; Roberto Trasarti (Computational Transportation Science, 2010)

Exploring Real Mobility Data with M-Atlas. - Roberto Trasarti; Salvatore Rinzivillo; Fabio Pinelli; Mirco Nanni; Anna Monreale; Chiara Renso; Dino Pedreschi; Fosca Giannotti (ECML/PKDD (3), 2010)

Movement Data Anonymity through Generalization. - Anna Monreale; Gennady L. Andrienko; Natalia V. Andrienko; Fosca Giannotti; Dino Pedreschi; Salvatore Rinzivillo; Stefan Wrobel (Trans. Data Priv., 2010)

Spatio-temporal clustering. - Slava Kisilevich; Florian Mansmann; Mirco Nanni; Salvatore Rinzivillo (Data Mining and Knowledge Discovery Handbook, 2010)

From movement tracks through events to places: Extracting and characterizing significant places from mobility data. - Gennady L. Andrienko; Natalia V. Andrienko; Christophe Hurter; Salvatore Rinzivillo; Stefan Wrobel (IEEE VAST, 2011)

Who/Where Are My New Customers? - Salvatore Rinzivillo; Salvatore Ruggieri (ISMIS Industrial Session, 2011)

Traffic Jams Detection Using Flock Mining. - Rebecca Ong; Fabio Pinelli; Roberto Trasarti; Mirco Nanni; Chiara Renso; Salvatore Rinzivillo; Fosca Giannotti (ECML/PKDD (3), 2011)

Unveiling the complexity of human mobility by querying and mining massive trajectory data. - Fosca Giannotti; Mirco Nanni; Dino Pedreschi; Fabio Pinelli; Chiara Renso; Salvatore Rinzivillo; Roberto Trasarti (VLDB J., 2011)

Optimal Spatial Resolution for the Analysis of Human Mobility. - Michele Coscia; Salvatore Rinzivillo; Fosca Giannotti; Dino Pedreschi (ASONAM, 2012)

Identifying users profiles from mobile calls habits. - Barbara Furletti; Lorenzo Gabrielli; Chiara Renso; Salvatore Rinzivillo (UrbComp@KDD, 2012)

Data Science for Simulating the Era of Electric Vehicles. - Davy Janssens; Fosca Giannotti; Mirco Nanni; Dino Pedreschi; Salvatore Rinzivillo (Künstliche Intell., 2012)

Discovering the Geographical Borders of Human Mobility. - Salvatore Rinzivillo; Simone Mainardi; Fabio Pezzoni; Michele Coscia; Dino Pedreschi; Fosca Giannotti (Künstliche Intell., 2012)

Car Traffic Monitoring. - Davy Janssens; Mirco Nanni; Salvatore Rinzivillo (Mobility Data, 2013)

Privacy-Preserving Distributed Movement Data Aggregation. - Anna Monreale; Wendy Hui Wang; Francesca Pratesi; Salvatore Rinzivillo; Dino Pedreschi; Gennady L. Andrienko; Natalia V. Andrienko (AGILE Conf., 2013)

Analysis of GSM calls data for understanding user mobility behavior. - Barbara Furletti; Lorenzo Gabrielli; Chiara Renso; Salvatore Rinzivillo (IEEE BigData, 2013)

Explaining the product range effect in purchase data. - Diego Pennacchioli; Michele Coscia; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (IEEE BigData, 2013)

From Tweets to Semantic Trajectories: Mining Anomalous Urban Mobility Patterns. - Lorenzo Gabrielli; Salvatore Rinzivillo; Francesco Ronzano; Daniel Villatoro (CitiSens, 2013)

Validating general human mobility patterns on massive GPS data. - Luca Pappalardo; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (SEBD, 2013)

Privacy-Aware Distributed Mobility Data Analytics. - Francesca Pratesi; Anna Monreale; Hui Wang 013; Salvatore Rinzivillo; Dino Pedreschi; Gennady L. Andrienko; Natalia V. Andrienko (SEBD, 2013)

Where Have You Been Today? Annotating Trajectories with DayTag. - Salvatore Rinzivillo; Fernando de Lucca Siqueira; Lorenzo Gabrielli; Chiara Renso; Vania Bogorny (SSTD, 2013)

Scalable Analysis of Movement Data for Extracting and Exploring Significant Places. - Gennady L. Andrienko; Natalia V. Andrienko; Christophe Hurter; Salvatore Rinzivillo; Stefan Wrobel (IEEE Trans. Vis. Comput. Graph., 2013)

The purpose of motion: Learning activities from Individual Mobility Networks. - Salvatore Rinzivillo; Lorenzo Gabrielli; Mirco Nanni; Luca Pappalardo; Dino Pedreschi; Fosca Giannotti (DSAA, 2014)

MAPMOLTY: A Web Tool for Discovering Place Loyalty Based on Mobile Crowdsource Data. - Vinicius Monteiro de Lira; Salvatore Rinzivillo; Valéria Cesário Times; Chiara Renso (ICWE, 2014)

Investigating semantic regularity of human mobility lifestyle. - Vinicius Monteiro de Lira; Salvatore Rinzivillo; Chiara Renso; Valéria Cesário Times; Patrícia C. A. R. Tedesco (IDEAS, 2014)

Understanding Large Events by Semantic Analysis of Twitter Data. - Lorenzo Gabrielli; Salvatore Rinzivillo; Francesco Ronzano; Daniel Villatore (SEBD, 2014)

Use of Mobile Phone Data to Estimate Visitors Mobility Flows. - Lorenzo Gabrielli; Barbara Furletti; Fosca Giannotti; Mirco Nanni; Salvatore Rinzivillo (SEFM Workshops, 2014)

Retrieving Points of Interest from Human Systematic Movements. - Riccardo Guidotti; Anna Monreale; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (SEFM Workshops, 2014)

Privacy-by-design in big data analytics and social mining. - Anna Monreale; Salvatore Rinzivillo; Francesca Pratesi; Fosca Giannotti; Dino Pedreschi (EPJ Data Sci., 2014)

The retail market as a complex system. - Diego Pennacchioli; Michele Coscia; Salvatore Rinzivillo; Fosca Giannotti; Dino Pedreschi (EPJ Data Sci., 2014)

Detection, tracking, and visualization of spatial event clusters for real time monitoring. - Natalia V. Andrienko; Gennady L. Andrienko; Georg Fuchs; Salvatore Rinzivillo; Hans-Dieter Betz (DSAA, 2015)

ComeWithMe: An Activity-Oriented Carpooling Approach. - Vinicius Monteiro de Lira; Valéria Cesário Times; Chiara Renso; Salvatore Rinzivillo (ITSC, 2015)

Real Time Detection and Tracking of Spatial Event Clusters. - Natalia V. Andrienko; Gennady L. Andrienko; Georg Fuchs; Salvatore Rinzivillo; Hans-Dieter Betz (ECML/PKDD (3), 2015)

Network-based Measures for Predicting the Outcomes of Football Games. - Paolo Cintia; Salvatore Rinzivillo; Luca Pappalardo (MLSA@PKDD/ECML, 2015)

Exploiting Spatial Abstraction in Predictive Analytics of Vehicle Traffic. - Natalia V. Andrienko; Gennady L. Andrienko; Salvatore Rinzivillo (ISPRS Int. J. Geo Inf., 2015)

Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model. - Luca Pappalardo; Salvatore Rinzivillo; Filippo Simini (ANT/SEIT, 2016)

Understanding Human Mobility with Big Data. - Fosca Giannotti; Lorenzo Gabrielli; Dino Pedreschi; Salvatore Rinzivillo (Solving Large Scale Learning Tasks, 2016)

A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth. - Giulio Rossetti; Luca Pappalardo; Salvatore Rinzivillo (CompleNet, 2016)

Searching and Ranking Activity-based Carpooling Ride. - Chiara Renso; Salvatore Rinzivillo; Valéria Cesário Times; Vinicius Monteiro de Lira; Raffaele Perego 001 (IIR, 2016)

Activity-based Carpooling with ComeWithMe. - Vinicius Monteiro de Lira; Salvatore Rinzivillo; Valéria Cesário Times; Chiara Renso; Raffaele Perego 001 (SEBD, 2016)

The ComeWithMe System for Searching and Ranking Activity-Based Carpooling Rides. - Vinicius Monteiro de Lira; Chiara Renso; Raffaele Perego 001; Salvatore Rinzivillo; Valéria Cesário Times (SIGIR, 2016)

Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics. - Natalia V. Andrienko; Gennady L. Andrienko; Salvatore Rinzivillo (Inf. Syst., 2016)

Unveiling mobility complexity through complex network analysis. - Riccardo Guidotti; Anna Monreale; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (Soc. Netw. Anal. Min., 2016)

NDlib: Studying Network Diffusion Dynamics. - Giulio Rossetti; Letizia Milli; Salvatore Rinzivillo; Alina Sîrbu; Dino Pedreschi; Fosca Giannotti (DSAA, 2017)

Never drive alone: Boosting carpooling with network analysis. - Riccardo Guidotti; Mirco Nanni; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (Inf. Syst., 2017)

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. - Giuseppe Amato 001; Leonardo Candela; Donatella Castelli; Andrea Esuli; Fabrizio Falchi; Claudio Gennaro; Fosca Giannotti; Anna Monreale; Mirco Nanni; Pasquale Pagano; Luca Pappalardo; Dino Pedreschi; et al. (A Comprehensive Guide Through the Italian Database Research, 2018)

Learning Data Mining. - Riccardo Guidotti; Anna Monreale; Salvatore Rinzivillo (DSAA, 2018)

NDlib: a python library to model and analyze diffusion processes over complex networks. - Giulio Rossetti; Letizia Milli; Salvatore Rinzivillo; Alina Sîrbu; Dino Pedreschi; Fosca Giannotti (Int. J. Data Sci. Anal., 2018)

Boosting Ride Sharing With Alternative Destinations. - Vinicius Monteiro de Lira; Raffaele Perego 001; Chiara Renso; Salvatore Rinzivillo; Valéria Cesário Times (IEEE Trans. Intell. Transp. Syst., 2018)

Analysis and Visualization of Performance Indicators in University Admission Tests. - Michela Natilli; Daniele Fadda; Salvatore Rinzivillo; Dino Pedreschi; Federica Licari (FM Workshops (1), 2019)

A Visual Analytics Platform to Measure Performance on University Entrance Tests. - Daniele Boncoraglio; Francesca Deri; Francesco Distefano; Daniele Fadda; Giorgio Filippi; Giuseppe Forte; Federica Licari; Michela Natilli; Dino Pedreschi; Salvatore Rinzivillo (SEBD, 2019)

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. - Mirco Nanni; Gennady L. Andrienko; Albert-László Barabási; Chiara Boldrini; Francesco Bonchi; Ciro Cattuto; Francesca Chiaromonte; Giovanni Comandè; Marco Conti; Mark Coté; Frank Dignum; Virginia Dignum; et al. (CoRR, 2020)

Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown. - Pietro Bonato; Paolo Cintia; Francesco Fabbri; Daniele Fadda; Fosca Giannotti; Pier Luigi Lopalco; Sara Mazzilli; Mirco Nanni; Luca Pappalardo; Dino Pedreschi; Francesco Penone; Salvatore Rinzivillo; et al. (CoRR, 2020)

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. - Paolo Cintia; Daniele Fadda; Fosca Giannotti; Luca Pappalardo; Giulio Rossetti; Dino Pedreschi; Salvo Rinzivillo; Pietro Bonato; Francesco Fabbri; Francesco Penone; Marcello Savarese; Daniele Checchi; et al. (CoRR, 2020)

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. - Carlo Metta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo (ISCC, 2021)

Explainable Deep Image Classifiers for Skin Lesion Diagnosis. - Carlo Metta; Andrea Beretta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo; Fosca Giannotti (CoRR, 2021)

On some Foundational Aspects of Human-Centered Artificial Intelligence. - Luciano Serafini; Raul Barbosa; Jasmin Grosinger 001; Luca Iocchi; Christian Napoli 001; Salvatore Rinzivillo; Jacques Robin; Alessandro Saffiotti; Teresa Scantamburlo; Peter Schüller; Paolo Traverso; Javier Vázquez-Salceda (CoRR, 2021)

Pandemic Modelling and Simulation - Introduction to the Special Theme. - Salvatore Rinzivillo; Joakim Sundnes; Karin Rainer (ERCIM News, 2021)

NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks. - Giulio Rossetti; Letizia Milli; Salvatore Rinzivillo (ERCIM News, 2021)

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. - Mirco Nanni; Gennady L. Andrienko; Albert-László Barabási; Chiara Boldrini; Francesco Bonchi; Ciro Cattuto; Francesca Chiaromonte; Giovanni Comandè; Marco Conti; Mark Coté; Frank Dignum; Virginia Dignum; et al. (Ethics Inf. Technol., 2021)

Predicting seasonal influenza using supermarket retail records. - Ioanna Miliou; Xinyue Xiong; Salvatore Rinzivillo; Qian Zhang 016; Giulio Rossetti; Fosca Giannotti; Dino Pedreschi; Alessandro Vespignani (PLoS Comput. Biol., 2021)

Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. - Carlo Metta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo (HHAI, 2022)

Federated Learning as an Analytical Framework for Personal Data Management - a proposition paper. - Maciej Zuziak; Salvatore Rinzivillo (IAIL@HHAI, 2022)

Explaining Black Box with Visual Exploration of Latent Space. - Francesco Bodria; Salvatore Rinzivillo; Daniele Fadda; Riccardo Guidotti; Fosca Giannotti; Dino Pedreschi (EuroVis (Short Papers), 2022)

Demo: an Interactive Visualization Combining Rule-Based and Feature Importance Explanations. - Eleonora Cappuccio; Daniele Fadda; Rosa Lanzilotti; Salvatore Rinzivillo (CHItaly, 2023)

EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories. - Francesca Naretto; Roberto Pellungrini; Salvatore Rinzivillo; Daniele Fadda (DS, 2023)

Data Collaboratives with the Use of Decentralised Learning. - Maciej Krzysztof Zuziak; Onntje Hinrichs; Aizhan Abdrassulova; Salvatore Rinzivillo (FAccT, 2023)

Trustworthy AI at KDD Lab. - Fosca Giannotti; Riccardo Guidotti; Anna Monreale; Luca Pappalardo; Dino Pedreschi; Roberto Pellungrini; Francesca Pratesi; Salvatore Rinzivillo; Salvatore Ruggieri; Mattia Setzu; Rosaria Deluca (Ital-IA, 2023)

Towards a Hybrid Human-Machine Discovery of Complex Movement Patterns. - Natalia V. Andrienko; Gennady L. Andrienko; Alexander Artikis; Periklis Mantenoglou; Salvatore Rinzivillo (PKDD/ECML Workshops (2), 2023)

FIPER: A Visual-Based Explanation Combining Rules and Feature Importance. - Eleonora Cappuccio; Daniele Fadda; Rosa Lanzilotti; Salvatore Rinzivillo (PKDD/ECML Workshops (3), 2023)

Explainable AI - Introduction to the Special Theme. - Manjunatha Veerappa; Salvo Rinzivillo (ERCIM News, 2023)

Benchmarking and survey of explanation methods for black box models. - Francesco Bodria; Fosca Giannotti; Riccardo Guidotti; Francesca Naretto; Dino Pedreschi; Salvatore Rinzivillo (Data Min. Knowl. Discov., 2023)

Co-design of Human-centered, Explainable AI for Clinical Decision Support. - Cecilia Panigutti; Andrea Beretta; Daniele Fadda; Fosca Giannotti; Dino Pedreschi; Alan Perotti; Salvatore Rinzivillo (ACM Trans. Interact. Intell. Syst., 2023)

One-Shot Clustering for Federated Learning. - Maciej Krzysztof Zuziak; Roberto Pellungrini; Salvatore Rinzivillo (IEEE Big Data, 2024)

Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model. - Fabio Michele Russo; Carlo Metta; Anna Monreale; Salvatore Rinzivillo; Fabio Pinelli (DS (2), 2024)

An Interactive Interface for Feature Space Navigation. - Eleonora Cappuccio; Isacco Beretta; Marta Marchiori Manerba; Salvatore Rinzivillo (HHAI, 2024)

XAI in Healthcare. - Gizem Gezici; Carlo Metta; Andrea Beretta; Roberto Pellungrini; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (HHAI Workshops, 2024)

Exploring Large Language Models Capabilities to Explain Decision Trees. - Paulo Bruno S. Serafim; Pierluigi Crescenzi; Gizem Gezici; Eleonora Cappuccio; Salvatore Rinzivillo; Fosca Giannotti (HHAI, 2024)

Amplified Contribution Analysis for Federated Learning. - Maciej Krzysztof Zuziak; Salvatore Rinzivillo (IDA (2), 2024)

Treemob: Expressive Mobility Data Representation Through Tree-Based Structures. - Marta Fioravanti; Eleonora Cappuccio; Salvatore Rinzivillo; Riccardo Guidotti (INTSYS, 2024)

Human-in-the-Loop: Visual Analytics for Building Models Recognizing Behavioral Patterns in Time Series. - Natalia V. Andrienko; Gennady L. Andrienko; Alexander Artikis; Periklis Mantenoglou; Salvatore Rinzivillo (IEEE Computer Graphics and Applications, 2024)

Interactive Visual Exploration of Latent Spaces for Explainable AI: Bridging Concepts and Features. - Carlo Metta; Eleonora Cappuccio; Salvatore Rinzivillo (IUI Workshops, 2025)

Can Contributing More Put You at a Higher Leakage Risk? The Relationship Between Shapley Value and Training Data Leakage Risks in Federated Learning. - Soumia Zohra El Mestari; Maciej Krzysztof Zuziak; Gabriele Lenzini; Salvatore Rinzivillo (SECRYPT, 2025)

Explanation User Interfaces: A Systematic Literature Review. - Eleonora Cappuccio; Andrea Esposito 002; Francesco Greco; Giuseppe Desolda; Rosa Lanzilotti; Salvatore Rinzivillo (CoRR, 2025)

Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning. - Carlo Metta; Andrea Beretta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo; Fosca Giannotti (Int. J. Data Sci. Anal., 2025)