Anna Monreale

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 82

Top Venues

CoRR

CogMI

AAAI

Publications

Tristan Allard, Hira Asghar, Gildas Avoine, Christophe Bobineau, Pierre Cauchois, Elisa Fromont, Anna Monreale, Francesca Naretto, Roberto Pellungrini, Francesca Pratesi, Marie-Christine Rousset, Antonin Voyez
Analyzing and explaining privacy risks on time series data: ongoing work and challenges. SIGKDD Explor. 26 (1) (2024)
Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning. CoRR (2024)
Francesca Maridina Malloci, Paola Mejia, Agathe Merceron, Anna Monreale, Daniela Rotelli
1st International Workshop on User-Centered Practices of Knowledge Discovery in Educational Data. UMAP (Adjunct Publication) (2024)
Rami Haffar, Francesca Naretto, David Sánchez, Anna Monreale, Josep Domingo-Ferrer
GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning. FUZZ (2024)
Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi
Generative Model for Decision Trees. AAAI (2024)
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni, Dino Pedreschi, Fosca Giannotti
Understanding Any Time Series Classifier with a Subsequence-based Explainer. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Cristiano Landi, Riccardo Guidotti, Mirco Nanni, Anna Monreale
The Trajectory Interval Forest Classifier for Trajectory Classification. SIGSPATIAL/GIS (2023)
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
A Bag of Receptive Fields for Time Series Extrinsic Predictions. CoRR (2023)
Anna Monreale, Francesca Naretto, Simone Rizzo
Agnostic Label-Only Membership Inference Attack. NSS (2023)
Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani
Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective. CoRR (2023)
Daniela Rotelli, Anna Monreale
Processing and Understanding Moodle Log Data and Their Temporal Dimension. J. Learn. Anal. 10 (2) (2023)
Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Dino Pedreschi, Roberto Pellungrini, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Mattia Setzu, Rosaria Deluca
Trustworthy AI at KDD Lab. Ital-IA (2023)
Aleksandra Maslennikova, Daniela Rotelli, Anna Monreale
Session-Based Time-Window Identification in Virtual Learning Environments. J. Learn. Anal. 10 (3) (2023)
Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi
Semantic Enrichment of Explanations of AI Models for Healthcare. DS (2023)
Chiara Bodei, Gianpiero Costantino, Marco De Vincenzi, Ilaria Matteucci, Anna Monreale
Data Collection in Automotive: A Deep Analysis of Carmakers' Mobile App Privacy Policies. ITSC (2023)
Chiara Bodei, Gianpiero Costantino, Marco De Vincenzi, Ilaria Matteucci, Anna Monreale
Vehicle Data Collection: A Privacy Policy Analysis and Comparison. ICISSP (2023)
Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Geolet: An Interpretable Model for Trajectory Classification. IDA (2023)
Francesco Spinnato, Riccardo Guidotti, Anna Monreale
An Explanation that LASTS: Understanding Any Time Series Classifier. ERCIM News 2023 (134) (2023)
Anna Monreale, Roberto Pellungrini
A Survey on Privacy in Human Mobility. Trans. Data Priv. 16 (1) (2023)
Luca Corbucci, Riccardo Guidotti, Anna Monreale
Explaining Black-Boxes in Federated Learning. xAI (2) (2023)
Aleksandra Maslennikova, Daniela Rotelli, Anna Monreale
Visual Analytics for Session-based Time-Windows Identification in Virtual Learning Environments. IV (2022)
David Solans, Andrea Beretta, Manuel Portela, Carlos Castillo, Anna Monreale
Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias. CoRR (2022)
Lorenzo Mannocci, Stefano Cresci, Anna Monreale, Athina Vakali, Maurizio Tesconi
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series. CoRR (2022)
Mahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amílcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi, Stan Matwin
A Modularized Framework for Explaining Black Box Classifiers for Text Data. AI (2022)
Michele Fontana, Francesca Naretto, Anna Monreale, Fosca Giannotti
Monitoring Fairness in HOLDA. HHAI (2022)
Roberto Pellungrini, Luca Pappalardo, Filippo Simini, Anna Monreale
Modeling Adversarial Behavior Against Mobility Data Privacy. IEEE Trans. Intell. Transp. Syst. 23 (2) (2022)
Lorenzo Mannocci, Stefano Cresci, Anna Monreale, Athina Vakali, Maurizio Tesconi
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series. Big Data (2022)
Daniela Rotelli, Anna Monreale
Time-on-Task Estimation by data-driven Outlier Detection based on Learning Activities. LAK (2022)
Anna Monreale, Benedetta Iavarone, Elena Rossetto, Andrea Beretta
Detecting Addiction, Anxiety, and Depression by Users Psychometric Profiles. WWW (Companion Volume) (2022)
Francesca Naretto, Anna Monreale, Fosca Giannotti
Privacy Risk of Global Explainers. HHAI (2022)
Francesca Naretto, Anna Monreale, Fosca Giannotti
Evaluating the Privacy Exposure of Interpretable Global Explainers. CogMI (2022)
Daniela Rotelli, Anna Monreale, Riccardo Guidotti
Uncovering Student Temporal Learning Patterns. EC-TEL (2022)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23 (S1) (2021)
Michele Fontana, Francesca Naretto, Anna Monreale
A new approach for cross-silo federated learning and its privacy risks. PST (2021)
Daniela Rotelli, Giuseppe Fiorentino, Anna Monreale
Making Sense of Learning Log Data. CoRR (2021)
Giacomo Mariani, Anna Monreale, Francesca Naretto
Privacy Risk Assessment of Individual Psychometric Profiles. DS (2021)
Michele Resta, Anna Monreale, Davide Bacciu
Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals. Entropy 23 (8) (2021)
Mattia Setzu, Anna Monreale, Pasquale Minervini
TRIPLEx: Triple Extraction for Explanation. CogMI (2021)
Benedetta Iavarone, Anna Monreale
From depression to suicidal discourse on Reddit. IEEE BigData (2021)
Valerio Bonsignori, Riccardo Guidotti, Anna Monreale
Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. DS (2021)
Riccardo Guidotti, Anna Monreale
Designing Shapelets for Interpretable Data-Agnostic Classification. AIES (2021)
Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
GLocalX - From Local to Global Explanations of Black Box AI Models. CoRR (2021)
Nikolaus Forgó, Stefanie Hänold, Jeroen van den Hoven, Tina Krügel, Iryna V. Lishchuk, René Mahieu, Anna Monreale, Dino Pedreschi, Francesca Pratesi, David van Putten
An ethico-legal framework for social data science. Int. J. Data Sci. Anal. 11 (4) (2021)
Mahtab Sarvmaili, Amílcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Stan Matwin
A modularized framework for explaining hierarchical attention networks on text classifiers. Canadian Conference on AI (2021)
Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
GLocalX - From Local to Global Explanations of Black Box AI Models. Artif. Intell. 294 (2021)
Nikolaus Forgó, Stefanie Hänold, Jeroen van den Hoven, Tina Krügel, Iryna V. Lishchuk, René Mahieu, Anna Monreale, Dino Pedreschi, Francesca Pratesi, David van Putten
Correction to: An ethico-legal framework for social data science. Int. J. Data Sci. Anal. 12 (1) (2021)
Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi
Predicting and Explaining Privacy Risk Exposure in Mobility Data. DS (2020)
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. CoRR (2020)
Riccardo Guidotti, Anna Monreale
Data-Agnostic Local Neighborhood Generation. ICDM (2020)
Boxiang Dong, Hui Wang, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Wenge Guo
Authenticated Outlier Mining for Outsourced Databases. IEEE Trans. Dependable Secur. Comput. 17 (2) (2020)
Riccardo Guidotti, Anna Monreale, Francesco Spinnato, Dino Pedreschi, Fosca Giannotti
Explaining Any Time Series Classifier. CogMI (2020)
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. AAAI (2020)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR (2020)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13 (1) (2020)
Francesca Pratesi, Lorenzo Gabrielli, Paolo Cintia, Anna Monreale, Fosca Giannotti
PRIMULE: Privacy risk mitigation for user profiles. Data Knowl. Eng. 125 (2020)
Anna Monreale
Explainable AI. CCIA (2019)
Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti, Dino Pedreschi
A Survey of Methods for Explaining Black Box Models. ACM Comput. Surv. 51 (5) (2019)
Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini
Global Explanations with Local Scoring. PKDD/ECML Workshops (1) (2019)
Vashti Galpin, Paolo Milazzo, Anna Monreale
Guest editors' foreword. J. Log. Algebraic Methods Program. 109 (2019)
Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi
Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers. PAKDD (1) (2019)
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini
Meaningful Explanations of Black Box AI Decision Systems. AAAI (2019)
Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Salvatore Ruggieri, Franco Turini
Factual and Counterfactual Explanations for Black Box Decision Making. IEEE Intell. Syst. 34 (6) (2019)
Riccardo Guidotti, Anna Monreale, Dino Pedreschi
The AI Black Box Explanation Problem. ERCIM News 2019 (116) (2019)
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. ECML/PKDD (1) (2019)
Roberto Pellungrini, Anna Monreale, Riccardo Guidotti
Privacy Risk for Individual Basket Patterns. MIDAS/PAP@PKDD/ECML (2018)
Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
A Data Mining Approach to Assess Privacy Risk in Human Mobility Data. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Michela Natilli, Anna Monreale, Riccardo Guidotti, Luca Pappalardo
Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis. MIDAS/PAP@PKDD/ECML (2018)
Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Dino Pedreschi, Franco Turini, Fosca Giannotti
Local Rule-Based Explanations of Black Box Decision Systems. CoRR (2018)
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Salvatore Ruggieri, Franco Turini
Open the Black Box Data-Driven Explanation of Black Box Decision Systems. CoRR (2018)
Riccardo Guidotti, Lorenzo Gabrielli, Anna Monreale, Dino Pedreschi, Fosca Giannotti
Discovering temporal regularities in retail customers' shopping behavior. EPJ Data Sci. 7 (1) (2018)
Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
Analyzing Privacy Risk in Human Mobility Data. STAF Workshops (2018)
Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo
Learning Data Mining. DSAA (2018)
Francesca Pratesi, Anna Monreale, Roberto Trasarti, Fosca Giannotti, Dino Pedreschi, Tadashi Yanagihara
PRUDEnce: a System for Assessing Privacy Risk vs Utility in Data Sharing Ecosystems. Trans. Data Priv. 11 (2) (2018)
Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
A Survey Of Methods For Explaining Black Box Models. CoRR (2018)
Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale
Fast Estimation of Privacy Risk in Human Mobility Data. SAFECOMP Workshops (2017)
Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi
Clustering Individual Transactional Data for Masses of Users. KDD (2017)
Roberto Trasarti, Riccardo Guidotti, Anna Monreale, Fosca Giannotti
MyWay: Location prediction via mobility profiling. Inf. Syst. 64 (2017)
Francesca Pratesi, Anna Monreale, Fosca Giannotti, Dino Pedreschi
Privacy Preserving Multidimensional Profiling. GOODTECHS (2017)
Anna Monreale, Wendy Hui Wang
Privacy-Preserving Outsourcing of Data Mining. COMPSAC Workshops (2016)
Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti
Unveiling mobility complexity through complex network analysis. Soc. Netw. Anal. Min. 6 (1) (2016)
Alessandro Marrella, Anna Monreale, Benjamin Klöpper, Martin W. Krueger
Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data - A Use-Case from Process Industry. CloudCom (2016)
Mirco Nanni, Roberto Trasarti, Anna Monreale, Valerio Grossi, Dino Pedreschi
Driving Profiles Computation and Monitoring for Car Insurance CRM. ACM Trans. Intell. Syst. Technol. 8 (1) (2016)
Sara Hajian, Josep Domingo-Ferrer, Anna Monreale, Dino Pedreschi, Fosca Giannotti
Discrimination- and privacy-aware patterns. Data Min. Knowl. Discov. 29 (6) (2015)
Letizia Milli, Anna Monreale, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti, Fabrizio Sebastiani
Quantification in social networks. DSAA (2015)
Valerio Grossi, Anna Monreale, Mirco Nanni, Dino Pedreschi, Franco Turini
Clustering Formulation Using Constraint Optimization. SEFM Workshops (2015)
Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti
Retrieving Points of Interest from Human Systematic Movements. SEFM Workshops (2014)
Anna Monreale, Salvatore Rinzivillo, Francesca Pratesi, Fosca Giannotti, Dino Pedreschi
Privacy-by-design in big data analytics and social mining. EPJ Data Sci. 3 (1) (2014)
Anna Monreale, Dino Pedreschi, Ruggero G. Pensa, Fabio Pinelli
Anonymity preserving sequential pattern mining. Artif. Intell. Law 22 (2) (2014)
Sara Hajian, Anna Monreale, Dino Pedreschi, Josep Domingo-Ferrer, Fosca Giannotti
Fair pattern discovery. SAC (2014)
Anirban Basu, Anna Monreale, Juan Camilo Corena, Fosca Giannotti, Dino Pedreschi, Shinsaku Kiyomoto, Yutaka Miyake, Tadashi Yanagihara, Roberto Trasarti
A Privacy Risk Model for Trajectory Data. IFIPTM (2014)
Anirban Basu, Juan Camilo Corena, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Shinsaku Kiyomoto, Jaideep Vaidya, Yutaka Miyake
CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud. CloudCom (2014)
Matteo Magnani, Anna Monreale, Giulio Rossetti, Fosca Giannotti
On multidimensional network measures. SEBD (2013)
Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi
Evolving networks: Eras and turning points. Intell. Data Anal. 17 (1) (2013)
Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi
Multidimensional networks: foundations of structural analysis. World Wide Web 16 (5-6) (2013)
Fosca Giannotti, Laks V. S. Lakshmanan, Anna Monreale, Dino Pedreschi, Wendy Hui Wang
Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases. IEEE Syst. J. 7 (3) (2013)
Francesca Pratesi, Anna Monreale, Hui Wang, Salvatore Rinzivillo, Dino Pedreschi, Gennady L. Andrienko, Natalia V. Andrienko
Privacy-Aware Distributed Mobility Data Analytics. SEBD (2013)
Letizia Milli, Anna Monreale, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Fabrizio Sebastiani
Quantification Trees. ICDM (2013)
Anna Monreale, Wendy Hui Wang, Francesca Pratesi, Salvatore Rinzivillo, Dino Pedreschi, Gennady L. Andrienko, Natalia V. Andrienko
Privacy-Preserving Distributed Movement Data Aggregation. AGILE Conf. (2013)
Sara Hajian, Anna Monreale, Dino Pedreschi, Josep Domingo-Ferrer, Fosca Giannotti
Injecting Discrimination and Privacy Awareness Into Pattern Discovery. ICDM Workshops (2012)
Ruilin Liu, Wendy Hui Wang, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Wenge Guo
utlier-Mining-as-a-Service Systems. ECML/PKDD (2) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Anna Monreale