Anna Monreale
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
27
Active years
2008–2025
Best venue rank
A*
Where they publish
- ADIS6 papers
- A*AAAI3 papers
- A*ICDM3 papers
- AECAI2 papers
- CSECRYPT2 papers
- AustralasianAI2 papers
- BPAKDD2 papers
- BDSAA2 papers
- A*KDD2 papers
- CCloudCom2 papers
- BSEFM2 papers
- BIJCNN1 paper
- AIUI1 paper
- CICISSP1 paper
- BIDA1 paper
- BNSS1 paper
- CIV1 paper
- ALAK1 paper
- A*WWW1 paper
- CAIES1 paper
- CPST1 paper
- BSAFECOMP1 paper
- BCOMPSAC1 paper
- MulticonferenceSAC1 paper
- A*ICDE1 paper
- AESORICS1 paper
- CMobiquitous1 paper
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DIS | Enhancing Local Explanations with GAN-Based Neighborhood Generation. | Luca Corbucci, Francesca Naretto, Anna Monreale |
| 2025 | ECAI | An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items. | Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato, Anna Monreale, Riccardo Guidotti |
| 2025 | IJCNN | Differentially Private FastSHAP for Federated Learning Model Explainability. | Valerio Bonsignori, Luca Corbucci, Francesca Naretto, Anna Monreale |
| 2025 | IUI | Talking Back - human input and explanations to interactive AI systems. | Alan J. Dix, Tommaso Turchi, Ben Wilson, Anna Monreale, Matt J. Roach |
| 2024 | AAAI | Generative Model for Decision Trees. | Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi |
| 2024 | DIS | Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model. | Fabio Michele Russo, Carlo Metta, Anna Monreale, Salvatore Rinzivillo, Fabio Pinelli |
| 2024 | ECAI | PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning. | Luca Corbucci, Mikko A. Heikkil, David Solans Noguero, Anna Monreale, Nicolas Kourtellis |
| 2024 | SECRYPT | Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection. | Luca Corbucci, Anna Monreale, Roberto Pellungrini |
| 2024 | SECRYPT | Balancing Act: Navigating the Privacy-Utility Spectrum in Principal Component Analysis. | Saloni Kwatra, Anna Monreale, Francesca Naretto |
| 2023 | DIS | Semantic Enrichment of Explanations of AI Models for Healthcare. | Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi |
| 2023 | ICISSP | Vehicle Data Collection: A Privacy Policy Analysis and Comparison. | Chiara Bodei, Gianpiero Costantino, Marco De Vincenzi, Ilaria Matteucci, Anna Monreale |
| 2023 | IDA | Geolet: An Interpretable Model for Trajectory Classification. | Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni |
| 2023 | NSS | Agnostic Label-Only Membership Inference Attack. | Anna Monreale, Francesca Naretto, Simone Rizzo |
| 2022 | AI | A Modularized Framework for Explaining Black Box Classifiers for Text Data. | Mahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amlcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi, Stan Matwin |
| 2022 | IV | Visual Analytics for Session-based Time-Windows Identification in Virtual Learning Environments. | Aleksandra Maslennikova, Daniela Rotelli, Anna Monreale |
| 2022 | LAK | Time-on-Task Estimation by data-driven Outlier Detection based on Learning Activities. | Daniela Rotelli, Anna Monreale |
| 2022 | WWW | Detecting Addiction, Anxiety, and Depression by Users Psychometric Profiles. | Anna Monreale, Benedetta Iavarone, Elena Rossetto, Andrea Beretta |
| 2021 | AI | A modularized framework for explaining hierarchical attention networks on text classifiers. | Mahtab Sarvmaili, Amlcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Stan Matwin |
| 2021 | AIES | Designing Shapelets for Interpretable Data-Agnostic Classification. | Riccardo Guidotti, Anna Monreale |
| 2021 | DIS | Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. | Valerio Bonsignori, Riccardo Guidotti, Anna Monreale |
| 2021 | DIS | Privacy Risk Assessment of Individual Psychometric Profiles. | Giacomo Mariani, Anna Monreale, Francesca Naretto |
| 2021 | PST | A new approach for cross-silo federated learning and its privacy risks. | Michele Fontana, Francesca Naretto, Anna Monreale |
| 2020 | AAAI | Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. | Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi |
| 2020 | DIS | Predicting and Explaining Privacy Risk Exposure in Mobility Data. | Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi |
| 2020 | ICDM | Data-Agnostic Local Neighborhood Generation. | Riccardo Guidotti, Anna Monreale |
| 2019 | AAAI | Meaningful Explanations of Black Box AI Decision Systems. | Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini |
| 2019 | PAKDD | Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers. | Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi |
| 2018 | DSAA | Learning Data Mining. | Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo |
| 2017 | KDD | Clustering Individual Transactional Data for Masses of Users. | Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi |
| 2017 | SAFECOMP | Fast Estimation of Privacy Risk in Human Mobility Data. | Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale |
| 2016 | CloudCom | Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data - A Use-Case from Process Industry. | Alessandro Marrella, Anna Monreale, Benjamin Klpper, Martin W. Krueger |
| 2016 | COMPSAC | Privacy-Preserving Outsourcing of Data Mining. | Anna Monreale, Wendy Hui Wang |
| 2015 | DSAA | Quantification in social networks. | Letizia Milli, Anna Monreale, Giulio Rossetti, Dino Pedreschi, Fosca Giannotti, Fabrizio Sebastiani |
| 2015 | SEFM | Clustering Formulation Using Constraint Optimization. | Valerio Grossi, Anna Monreale, Mirco Nanni, Dino Pedreschi, Franco Turini |
| 2014 | CloudCom | CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud. | Anirban Basu, Juan Camilo Corena, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Shinsaku Kiyomoto, Jaideep Vaidya, Yutaka Miyake |
| 2014 | SAC | Fair pattern discovery. | Sara Hajian, Anna Monreale, Dino Pedreschi, Josep Domingo-Ferrer, Fosca Giannotti |
| 2014 | SEFM | Retrieving Points of Interest from Human Systematic Movements. | Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti |
| 2013 | ICDM | Quantification Trees. | Letizia Milli, Anna Monreale, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Fabrizio Sebastiani |
| 2012 | ICDM | Injecting Discrimination and Privacy Awareness Into Pattern Discovery. | Sara Hajian, Anna Monreale, Dino Pedreschi, Josep Domingo-Ferrer, Fosca Giannotti |
| 2010 | ICDE | Towards discovery of eras in social networks. | Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi |
| 2010 | PAKDD | As Time Goes by: Discovering Eras in Evolving Social Networks. | Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi |
| 2009 | KDD | WhereNext: a location predictor on trajectory pattern mining. | Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fosca Giannotti |
| 2008 | ESORICS | Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining. | Ruggero G. Pensa, Anna Monreale, Fabio Pinelli, Dino Pedreschi |
| 2008 | Mobiquitous | Location prediction within the mobility data analysis environment DAEDALUS. | Fabio Pinelli, Anna Monreale, Roberto Trasarti, Fosca Giannotti |