Anna Monreale

Orcid: 0000-0001-8541-0284

According to our database1, Anna Monreale authored at least 114 papers between 2008 and 2024.

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Bibliography

2024
Understanding Any Time Series Classifier with a Subsequence-based Explainer.
ACM Trans. Knowl. Discov. Data, February, 2024

Generative Model for Decision Trees.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Survey on Privacy in Human Mobility.
Trans. Data Priv., January, 2023

Session-Based Time-Window Identification in Virtual Learning Environments.
J. Learn. Anal., 2023

An Explanation that LASTS: Understanding Any Time Series Classifier.
ERCIM News, 2023

A Bag of Receptive Fields for Time Series Extrinsic Predictions.
CoRR, 2023

Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective.
CoRR, 2023

Explaining Black-Boxes in Federated Learning.
Proceedings of the Explainable Artificial Intelligence, 2023

Agnostic Label-Only Membership Inference Attack.
Proceedings of the Network and System Security - 17th International Conference, 2023

Data Collection in Automotive: A Deep Analysis of Carmakers' Mobile App Privacy Policies.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023


Geolet: An Interpretable Model for Trajectory Classification.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Vehicle Data Collection: A Privacy Policy Analysis and Comparison.
Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

The Trajectory Interval Forest Classifier for Trajectory Classification.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Semantic Enrichment of Explanations of AI Models for Healthcare.
Proceedings of the Discovery Science - 26th International Conference, 2023

2022
Modeling Adversarial Behavior Against Mobility Data Privacy.
IEEE Trans. Intell. Transp. Syst., 2022

Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias.
CoRR, 2022

Detecting Addiction, Anxiety, and Depression by Users Psychometric Profiles.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Time-on-Task Estimation by data-driven Outlier Detection based on Learning Activities.
Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Visual Analytics for Session-based Time-Windows Identification in Virtual Learning Environments.
Proceedings of the 26th International Conference Information Visualisation, 2022

Privacy Risk of Global Explainers.
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Monitoring Fairness in HOLDA.
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022

Uncovering Student Temporal Learning Patterns.
Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

Evaluating the Privacy Exposure of Interpretable Global Explainers.
Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022

MulBot: Unsupervised Bot Detection Based on Multivariate Time Series.
Proceedings of the IEEE International Conference on Big Data, 2022

A Modularized Framework for Explaining Black Box Classifiers for Text Data.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021
Correction to: An ethico-legal framework for social data science.
Int. J. Data Sci. Anal., 2021

An ethico-legal framework for social data science.
Int. J. Data Sci. Anal., 2021

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

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals.
Entropy, 2021

GLocalX - From Local to Global Explanations of Black Box AI Models.
Artif. Intell., 2021

A new approach for cross-silo federated learning and its privacy risks.
Proceedings of the 18th International Conference on Privacy, Security and Trust, 2021

Privacy Risk Assessment of Individual Psychometric Profiles.
Proceedings of the Discovery Science - 24th International Conference, 2021

Deriving a Single Interpretable Model by Merging Tree-Based Classifiers.
Proceedings of the Discovery Science - 24th International Conference, 2021

TRIPLEx: Triple Extraction for Explanation.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

From depression to suicidal discourse on Reddit.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Designing Shapelets for Interpretable Data-Agnostic Classification.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

A modularized framework for explaining hierarchical attention networks on text classifiers.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
Explaining Multi-label Black-Box Classifiers for Health Applications.
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Authenticated Outlier Mining for Outsourced Databases.
IEEE Trans. Dependable Secur. Comput., 2020

PRIMULE: Privacy risk mitigation for user profiles.
Data Knowl. Eng., 2020

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

Data-Agnostic Local Neighborhood Generation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Predicting and Explaining Privacy Risk Exposure in Mobility Data.
Proceedings of the Discovery Science - 23rd International Conference, 2020

Explaining Any Time Series Classifier.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Guest editors' foreword.
J. Log. Algebraic Methods Program., 2019

Factual and Counterfactual Explanations for Black Box Decision Making.
IEEE Intell. Syst., 2019

The AI Black Box Explanation Problem.
ERCIM News, 2019

A Survey of Methods for Explaining Black Box Models.
ACM Comput. Surv., 2019

Global Explanations with Local Scoring.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Explainable AI.
Proceedings of the Artificial Intelligence Research and Development, 2019

Meaningful Explanations of Black Box AI Decision Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Privacy by Design for Mobility Data Analytics.
Proceedings of the Handbook of Mobile Data Privacy., 2018

A Data Mining Approach to Assess Privacy Risk in Human Mobility Data.
ACM Trans. Intell. Syst. Technol., 2018

PRUDEnce: a System for Assessing Privacy Risk vs Utility in Data Sharing Ecosystems.
Trans. Data Priv., 2018

Discovering temporal regularities in retail customers' shopping behavior.
EPJ Data Sci., 2018

Open the Black Box Data-Driven Explanation of Black Box Decision Systems.
CoRR, 2018

Local Rule-Based Explanations of Black Box Decision Systems.
CoRR, 2018

A Survey Of Methods For Explaining Black Box Models.
CoRR, 2018

Analyzing Privacy Risk in Human Mobility Data.
Proceedings of the Software Technologies: Applications and Foundations, 2018

Privacy Risk for Individual Basket Patterns.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis.
Proceedings of the ECML PKDD 2018 Workshops, 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
MyWay: Location prediction via mobility profiling.
Inf. Syst., 2017

Fast Estimation of Privacy Risk in Human Mobility Data.
Proceedings of the Computer Safety, Reliability, and Security, 2017

Clustering Individual Transactional Data for Masses of Users.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Privacy Preserving Multidimensional Profiling.
Proceedings of the Smart Objects and Technologies for Social Good, 2017

2016
Partition-Based Clustering Using Constraint Optimization.
Proceedings of the Data Mining and Constraint Programming, 2016

Driving Profiles Computation and Monitoring for Car Insurance CRM.
ACM Trans. Intell. Syst. Technol., 2016

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

Privacy-Preserving Outsourcing of Data Mining.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data - A Use-Case from Process Industry.
Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

2015
Discrimination- and privacy-aware patterns.
Data Min. Knowl. Discov., 2015

Clustering Formulation Using Constraint Optimization.
Proceedings of the Software Engineering and Formal Methods, 2015

Quantification in social networks.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

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

Anonymity preserving sequential pattern mining.
Artif. Intell. Law, 2014

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

Fair pattern discovery.
Proceedings of the Symposium on Applied Computing, 2014

A Privacy Risk Model for Trajectory Data.
Proceedings of the Trust Management VIII - 8th IFIP WG 11.11 International Conference, 2014

CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2013
Multidimensional networks: foundations of structural analysis.
World Wide Web, 2013

Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases.
IEEE Syst. J., 2013

Evolving networks: Eras and turning points.
Intell. Data Anal., 2013

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

On multidimensional network measures.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Quantification Trees.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

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

Anonymity: A Comparison Between the Legal and Computer Science Perspectives.
Proceedings of the European Data Protection: Coming of Age, 2013

Mobility Data and Privacy.
Proceedings of the Mobility Data: Modeling, 2013

2012
Classifying Trust/Distrust Relationships in Online Social Networks.
Proceedings of the 2012 International Conference on Privacy, 2012

AUDIO: An Integrity <i>Audi</i>ting Framework of <i>O</i>utlier-Mining-as-a-Service Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Injecting Discrimination and Privacy Awareness Into Pattern Discovery.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Privacy by Design in Data Mining.
PhD thesis, 2011

C-safety: a framework for the anonymization of semantic trajectories.
Trans. Data Priv., 2011

The pursuit of hubbiness: Analysis of hubs in large multidimensional networks.
J. Comput. Sci., 2011

Foundations of Multidimensional Network Analysis.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Privacy-Preserving Data Mining from Outsourced Databases.
Proceedings of the Computers, Privacy and Data Protection: an Element of Choice, 2011

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

Location Prediction through Trajectory Pattern Mining (Extended Abstract).
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Discovering Eras in Evolving Social Networks (Extended Abstract).
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

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

As Time Goes by: Discovering Eras in Evolving Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Towards discovery of eras in social networks.
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010

Preserving privacy in semantic-rich trajectories of human mobility.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS, 2010

2009
Anonymous Sequences from Trajectory Data.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

WhereNext: a location predictor on trajectory pattern mining.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Movement data anonymity through generalization.
Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS, 2009

2008
Location prediction within the mobility data analysis environment DAEDALUS.
Proceedings of the 5th Annual International Conference on Mobile and Ubiquitous Systems: Computing, 2008

Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining.
Proceedings of the 1st International Workshop on Privacy in Location-Based Applications, 2008


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