Anna Monreale

发表

Privacy by Design for Mobility Data Analytics

Francesca Pratesi, Anna Monreale, Dino Pedreschi, 2018, Handbook of Mobile Data Privacy.

The AI Black Box Explanation Problem

Anna Monreale, Dino Pedreschi, Riccardo Guidotti, 2019, ERCIM News.

Anonymity: A Comparison Between the Legal and Computer Science Perspectives

Anna Monreale, Sergio Mascetti, Annarita Ricci, 2013, European Data Protection.

Privacy in Distributed Monitoring

Anna Monreale, Dino Pedreschi, Roberto Trasarti, 2013 .

Discovering Eras in Evolving Social Networks

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010 .

CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud

Jaideep Vaidya, Anna Monreale, Dino Pedreschi, 2014, 2014 IEEE 6th International Conference on Cloud Computing Technology and Science.

A risk model for privacy in trajectory data

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2015, Journal of Trust Management.

Location prediction within the mobility data analysis environment DAEDALUS

Anna Monreale, Fosca Giannotti, Roberto Trasarti, 2008, Mobiquitous 2008.

Injecting Discrimination and Privacy Awareness Into Pattern Discovery

Josep Domingo-Ferrer, Anna Monreale, Dino Pedreschi, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Movement data anonymity through generalization

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

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.

Realising the European Open Science Cloud

Stefanie N. Lindstaedt, Anna Monreale, Ross Wilkinson, 2016 .

ECML PKDD 2018 Workshops

Anna Monreale, Carlos Alzate, C. Alzate, 2018, Lecture Notes in Computer Science.

Partition-Based Clustering Using Constraint Optimization

Anna Monreale, Tias Guns, Siegfried Nijssen, 2016, Data Mining and Constraint Programming.

Correction to: ECML PKDD 2018 Workshops

Anna Monreale, Carlos Alzate, 2018 .

Classifying Trust/Distrust Relationships in Online Social Networks

Anna Monreale, Fosca Giannotti, Michele Coscia, 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

Explaining Multi-label Black-Box Classifiers for Health Applications

Anna Monreale, Dino Pedreschi, Riccardo Guidotti, 2019, Precision Health and Medicine.

Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis

Anna Monreale, Luca Pappalardo, Riccardo Guidotti, 2018, MIDAS/PAP@PKDD/ECML.

Exploring Real Mobility Data with M-Atlas

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

Evolving networks: Eras and turning points

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2013, Intell. Data Anal..

Quantification in social networks

Fabrizio Sebastiani, Anna Monreale, Dino Pedreschi, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

ECML PKDD 2018 Workshops

Krishna M. Sivalingam, Daniel Paurat, Xiaoyong Du, 2018, Communications in Computer and Information Science.

Clustering Formulation Using Constraint Optimization

Franco Turini, Anna Monreale, Dino Pedreschi, 2015, SEFM Workshops.

Preserving privacy in semantic-rich trajectories of human mobility

Vania Bogorny, Anna Monreale, Dino Pedreschi, 2010, SPRINGL '10.

PRUDEnce: a System for Assessing Privacy Risk vs Utility in Data Sharing Ecosystems

Francesca Pratesi, Anna Monreale, Dino Pedreschi, 2018, Trans. Data Priv..

Clustering Individual Transactional Data for Masses of Users

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2017, KDD.

Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases

Laks V. S. Lakshmanan, Wendy Hui Wang, Anna Monreale, 2013, IEEE Systems Journal.

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.

Multidimensional networks: foundations of structural analysis

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2013, World Wide Web.

Unveiling mobility complexity through complex network analysis

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

MyWay: Location prediction via mobility profiling

Anna Monreale, Fosca Giannotti, Roberto Trasarti, 2017, Inf. Syst..

Anonymous Sequences from Trajectory Data

Ruggero G. Pensa, Anna Monreale, Dino Pedreschi, 2009, SEBD.

A Survey of Methods for Explaining Black Box Models

Franco Turini, Anna Monreale, Dino Pedreschi, 2018, ACM Comput. Surv..

Privacy Risk for Individual Basket Patterns

Anna Monreale, Riccardo Guidotti, Roberto Pellungrini, 2018, MIDAS/PAP@PKDD/ECML.

A Generalisation-based Approach to Anonymising Movement Data

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010 .

Foundations of Multidimensional Network Analysis

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

Distributed monitoring of cluster quality for car insurance customer segmentation

Anna Monreale, Dino Pedreschi, Roberto Trasarti, 2013 .

C-safety: a framework for the anonymization of semantic trajectories

Vania Bogorny, Anna Monreale, Dino Pedreschi, 2011, Trans. Data Priv..

On Predicting the Future Locations of Moving Objects: The State of the Art

Anna Monreale, Fosca Giannotti, Roberto Trasarti, 2014 .

Privacy-Preserving Distributed Movement Data Aggregation

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

Explaining Any Time Series Classifier

Anna Monreale, Fosca Giannotti, Riccardo Guidotti, 2020, 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI).

The pursuit of hubbiness: Analysis of hubs in large multidimensional networks

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2011, J. Comput. Sci..

Authenticated Outlier Mining for Outsourced Databases

Boxiang Dong, Anna Monreale, Dino Pedreschi, 2020, IEEE Transactions on Dependable and Secure Computing.

A Data Mining Approach to Assess Privacy Risk in Human Mobility Data

Francesca Pratesi, Anna Monreale, Luca Pappalardo, 2017, ACM Trans. Intell. Syst. Technol..

Discovering temporal regularities in retail customers’ shopping behavior

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2018, EPJ Data Science.

AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems

Wendy Hui Wang, Anna Monreale, Dino Pedreschi, 2012, ECML/PKDD.

Privacy Preserving Multidimensional Profiling

Francesca Pratesi, Anna Monreale, Dino Pedreschi, 2017, GOODTECHS.

GLocalX - From Local to Global Explanations of Black Box AI Models pdf

Franco Turini, Anna Monreale, Dino Pedreschi, 2021, Artif. Intell..

As Time Goes by: Discovering Eras in Evolving Social Networks

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010, PAKDD.

A Privacy Risk Model for Trajectory Data

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2014, IFIPTM.

WhereNext: a location predictor on trajectory pattern mining

Anna Monreale, Fosca Giannotti, Roberto Trasarti, 2009, KDD.

Discrimination- and privacy-aware patterns

Josep Domingo-Ferrer, Anna Monreale, Dino Pedreschi, 2014, Data Mining and Knowledge Discovery.

Modeling Adversarial Behavior Against Mobility Data Privacy

Anna Monreale, Filippo Simini, Luca Pappalardo, 2020, IEEE Transactions on Intelligent Transportation Systems.

Anonymity preserving sequential pattern mining

Ruggero G. Pensa, Anna Monreale, Dino Pedreschi, 2014, Artificial Intelligence and Law.

Privacy-Aware Distributed Mobility Data Analytics

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

PRIMULE: Privacy risk mitigation for user profiles

Francesca Pratesi, Anna Monreale, Fosca Giannotti, 2020, Data Knowl. Eng..

Meaningful Explanations of Black Box AI Decision Systems

Franco Turini, Anna Monreale, Dino Pedreschi, 2019, AAAI.

Fair pattern discovery

Josep Domingo-Ferrer, Anna Monreale, Dino Pedreschi, 2014, SAC.

Local Rule-Based Explanations of Black Box Decision Systems pdf

Franco Turini, Anna Monreale, Dino Pedreschi, 2018, ArXiv.

Analyzing Privacy Risk in Human Mobility Data

Francesca Pratesi, Anna Monreale, Luca Pappalardo, 2018, STAF Workshops.

Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining

Ruggero G. Pensa, Anna Monreale, Dino Pedreschi, 2008, PiLBA.

Discovering Eras in Evolving Social Networks (Extended Abstract)

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010, SEBD.

Quantification Trees

Fabrizio Sebastiani, Anna Monreale, Dino Pedreschi, 2013, 2013 IEEE 13th International Conference on Data Mining.

Privacy-Preserving Outsourcing of Data Mining

Wendy Hui Wang, Anna Monreale, Wendy Hui Wang, 2016, 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC).

Privacy-Preserving Data Mining from Outsourced Databases

Laks V. S. Lakshmanan, Wendy Hui Wang, Anna Monreale, 2011, Computers, Privacy and Data Protection.

Anonymity Technologies for Privacy-Preserving Data Publishing and Mining

Anna Monreale, Dino Pedreschi, Ruggero G. Pensa, 2010 .

Personal Analytics and Privacy. An Individual and Collective Perspective

Serge Abiteboul, Anna Monreale, Dino Pedreschi, 2017, Lecture Notes in Computer Science.

Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers

Anna Monreale, Riccardo Guidotti, Leonardo Cariaggi, 2019, PAKDD.

Driving Profiles Computation and Monitoring for Car Insurance CRM

Anna Monreale, Dino Pedreschi, Roberto Trasarti, 2016, ACM Trans. Intell. Syst. Technol..

Retrieving Points of Interest from Human Systematic Movements

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

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations

Stan Matwin, Anna Monreale, Dino Pedreschi, 2020, AAAI.

Open the Black Box Data-Driven Explanation of Black Box Decision Systems pdf

Franco Turini, Anna Monreale, Dino Pedreschi, 2018, ArXiv.

Towards discovery of eras in social networks

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).

Guest editors' foreword

Paolo Milazzo, Anna Monreale, Vashti Galpin, 2019, J. Log. Algebraic Methods Program..

Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data - A Use-Case from Process Industry

Benjamin Klöpper, Anna Monreale, Martin W. Krüger, 2016, 2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom).

Learning Data Mining

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

Location prediction within the mobility data analysis environment DAEDALUS

Anna Monreale, Fosca Giannotti, Roberto Trasarti, 2008, MobiQuitous.

On multidimensional network measures

Anna Monreale, Giulio Rossetti, Fosca Giannotti, 2013, SEBD.

ECML PKDD 2018 Workshops

Yuzuru Tanaka, Anna Monreale, Randy Goebel, 2018, Lecture Notes in Computer Science.

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Stan Matwin, Anna Monreale, Dino Pedreschi, 2019, ECML/PKDD.

Mobility Data and Privacy

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2013, Mobility Data.

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

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

Location Prediction through Trajectory Pattern Mining (Extended Abstract)

Anna Monreale, Fosca Giannotti, Roberto Trasarti, 2010, Sistemi Evoluti per Basi di Dati.

Fast Estimation of Privacy Risk in Human Mobility Data

Francesca Pratesi, Anna Monreale, Luca Pappalardo, 2017, SAFECOMP Workshops.

Factual and Counterfactual Explanations for Black Box Decision Making

Franco Turini, Anna Monreale, Dino Pedreschi, 2019, IEEE Intelligent Systems.

Differential Privacy in Distributed Mobility Analytics

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

From depression to suicidal discourse on Reddit

Anna Monreale, Benedetta Iavarone, A. Monreale, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals

Davide Bacciu, Anna Monreale, Michele Resta, 2021, Entropy.

Correction to: An ethico-legal framework for social data science

Francesca Pratesi, Anna Monreale, Dino Pedreschi, 2021, Int. J. Data Sci. Anal..

Making Sense of Learning Log Data pdf

Anna Monreale, Giuseppe Fiorentino, Daniela Rotelli, 2021, ArXiv.

Privacy Risk Assessment of Individual Psychometric Profiles

Anna Monreale, Giacomo Mariani, Francesca Naretto, 2021, DS.

A new approach for cross-silo federated learning and its privacy risks

Anna Monreale, Francesca Naretto, Michele Fontana, 2021, 2021 18th International Conference on Privacy, Security and Trust (PST).

Designing Shapelets for Interpretable Data-Agnostic Classification

Anna Monreale, Riccardo Guidotti, A. Monreale, 2021, AIES.

Deriving a Single Interpretable Model by Merging Tree-Based Classifiers

Anna Monreale, Riccardo Guidotti, Valerio Bonsignori, 2021, DS.

A modularized framework for explaining hierarchical attention networks on text classifiers

Stan Matwin, Anna Monreale, Dino Pedreschi, 2021, Canadian Conference on AI.

Gastroesophageal reflux symptoms among Italian university students: epidemiology and dietary correlates using automatically recorded transactions

Anna Monreale, Dino Pedreschi, Luca Pappalardo, 2018, BMC Gastroenterology.