Salvatore Rinzivillo

Orcid: 0000-0003-4404-4147

According to our database1, Salvatore Rinzivillo authored at least 86 papers between 2003 and 2024.

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Bibliography

2024
Fiper: a Visual-based Explanation Combining Rules and Feature Importance.
CoRR, 2024

Human-in-the-Loop: Visual Analytics for Building Models Recognizing Behavioral Patterns in Time Series.
IEEE Computer Graphics and Applications, 2024

Amplified Contribution Analysis for Federated Learning.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Exploring Large Language Models Capabilities to Explain Decision Trees.
Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

XAI in Healthcare.
Proceedings of the Workshops at the Third International Conference on Hybrid Human-Artificial Intelligence co-located with (HHAI 2024), 2024

An Interactive Interface for Feature Space Navigation.
Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

2023
Co-design of Human-centered, Explainable AI for Clinical Decision Support.
ACM Trans. Interact. Intell. Syst., December, 2023

Benchmarking and survey of explanation methods for black box models.
Data Min. Knowl. Discov., September, 2023

Explainable AI - Introduction to the Special Theme.
ERCIM News, 2023


Data Collaboratives with the Use of Decentralised Learning.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories.
Proceedings of the Discovery Science - 26th International Conference, 2023

Demo: an Interactive Visualization Combining Rule-Based and Feature Importance Explanations.
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023

2022
Explaining Black Box with Visual Exploration of Latent Space.
Proceedings of the 24th Eurographics Conference on Visualization, 2022

Federated Learning as an Analytical Framework for Personal Data Management - a proposition paper.
Proceedings of the Workshop on Imagining the AI Landscape after the AI Act (IAIL 2022) co-located with 1st International Conference on Hybrid Human-Artificial Intelligence (HHAI 2022), 2022

Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers.
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

2021
Predicting seasonal influenza using supermarket retail records.
PLoS Comput. Biol., 2021

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
Ethics Inf. Technol., 2021

NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks.
ERCIM News, 2021

Pandemic Modelling and Simulation - Introduction to the Special Theme.
ERCIM News, 2021

On some Foundational Aspects of Human-Centered Artificial Intelligence.
CoRR, 2021

Explainable Deep Image Classifiers for Skin Lesion Diagnosis.
CoRR, 2021

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

2020
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy.
CoRR, 2020

Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown.
CoRR, 2020

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
CoRR, 2020

2019
A Visual Analytics Platform to Measure Performance on University Entrance Tests.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Analysis and Visualization of Performance Indicators in University Admission Tests.
Proceedings of the Formal Methods. FM 2019 International Workshops, 2019

2018
Boosting Ride Sharing With Alternative Destinations.
IEEE Trans. Intell. Transp. Syst., 2018

NDlib: a python library to model and analyze diffusion processes over complex networks.
Int. J. Data Sci. Anal., 2018

Learning Data Mining.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science.
Proceedings of the A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years., 2018

2017
Never drive alone: Boosting carpooling with network analysis.
Inf. Syst., 2017

NDlib: Studying Network Diffusion Dynamics.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Unveiling mobility complexity through complex network analysis.
Soc. Netw. Anal. Min., 2016

Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics.
Inf. Syst., 2016

The ComeWithMe System for Searching and Ranking Activity-Based Carpooling Rides.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Activity-based Carpooling with ComeWithMe.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

Searching and Ranking Activity-based Carpooling Ride.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016

A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth.
Proceedings of the Complex Networks VII, 2016

Understanding Human Mobility with Big Data.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model.
Proceedings of the 7th International Conference on Ambient Systems, 2016

2015
Exploiting Spatial Abstraction in Predictive Analytics of Vehicle Traffic.
ISPRS Int. J. Geo Inf., 2015

Network-based Measures for Predicting the Outcomes of Football Games.
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

Real Time Detection and Tracking of Spatial Event Clusters.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

ComeWithMe: An Activity-Oriented Carpooling Approach.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Detection, tracking, and visualization of spatial event clusters for real time monitoring.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
The retail market as a complex system.
EPJ Data Sci., 2014

Privacy-by-design in big data analytics and social mining.
EPJ Data Sci., 2014

Retrieving Points of Interest from Human Systematic Movements.
Proceedings of the Software Engineering and Formal Methods, 2014

Use of Mobile Phone Data to Estimate Visitors Mobility Flows.
Proceedings of the Software Engineering and Formal Methods, 2014

Understanding Large Events by Semantic Analysis of Twitter Data.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Investigating semantic regularity of human mobility lifestyle.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

MAPMOLTY: A Web Tool for Discovering Place Loyalty Based on Mobile Crowdsource Data.
Proceedings of the Web Engineering, 14th International Conference, 2014

The purpose of motion: Learning activities from Individual Mobility Networks.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013
Scalable Analysis of Movement Data for Extracting and Exploring Significant Places.
IEEE Trans. Vis. Comput. Graph., 2013

Where Have You Been Today? Annotating Trajectories with DayTag.
Proceedings of the Advances in Spatial and Temporal Databases, 2013

Privacy-Aware Distributed Mobility Data Analytics.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Validating general human mobility patterns on massive GPS data.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

From Tweets to Semantic Trajectories: Mining Anomalous Urban Mobility Patterns.
Proceedings of the Citizen in Sensor Networks - Second International Workshop, 2013

Explaining the product range effect in purchase data.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Analysis of GSM calls data for understanding user mobility behavior.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Privacy-Preserving Distributed Movement Data Aggregation.
Proceedings of the Geographic Information Science at the Heart of Europe, 2013

Car Traffic Monitoring.
Proceedings of the Mobility Data: Modeling, 2013

2012
Discovering the Geographical Borders of Human Mobility.
Künstliche Intell., 2012

Data Science for Simulating the Era of Electric Vehicles.
Künstliche Intell., 2012

Identifying users profiles from mobile calls habits.
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012

Optimal Spatial Resolution for the Analysis of Human Mobility.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Unveiling the complexity of human mobility by querying and mining massive trajectory data.
VLDB J., 2011

Traffic Jams Detection Using Flock Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Who/Where Are My New Customers?
Proceedings of the Emerging Intelligent Technologies in Industry, 2011

From movement tracks through events to places: Extracting and characterizing significant places from mobility data.
Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011

2010
Spatio-temporal clustering.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Movement Data Anonymity through Generalization.
Trans. Data Priv., 2010

Exploring Real Mobility Data with M-Atlas.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Mobility data mining: discovering movement patterns from trajectory data.
Proceedings of the Second International Workshop on Computational Transportation Science, 2010

2009
A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data.
Proceedings of the Advances in Spatial and Temporal Databases, 2009

Interactive visual clustering of large collections of trajectories.
Proceedings of the 4th IEEE Symposium on Visual Analytics Science and Technology, 2009

2008
Knowledge Discovery from Geographical Data.
Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008

Visually driven analysis of movement data by progressive clustering.
Inf. Vis., 2008

2007
Knowledge discovery from spatial transactions.
J. Intell. Inf. Syst., 2007

2006
Examples of Integration of Induction and Deduction in Knowledge Discovery.
Proceedings of the Reasoning, 2006

2005
Knowledge discovery from spatial transactions.
PhD thesis, 2005

Extracting spatial association rules from spatial transactions.
Proceedings of the 13th ACM International Workshop on Geographic Information Systems, 2005

2004
Classification in Geographical Information Systems.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

2003
Using Spin to Generate Testsfrom ASM Specifications.
Proceedings of the Abstract State Machines, 2003


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