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2020 – today
- 2024
[j36]Fernanda Oliveira Gomes
, Roberto Pellungrini, Anna Monreale, Chiara Renso, Jean Everson Martina:
TrajectGuard: A Comprehensive Privacy-Risk Framework for Multiple-Aspects Trajectories. IEEE Access 12: 136354-136378 (2024)- [j35]Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni:
Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields. IEEE Access 12: 137893-137912 (2024) - [j34]Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Francesca Naretto, Franco Turini, Dino Pedreschi, Fosca Giannotti:
Stable and actionable explanations of black-box models through factual and counterfactual rules. Data Min. Knowl. Discov. 38(5): 2825-2862 (2024) - [j33]Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani:
Explainable Authorship Identification in Cultural Heritage Applications. ACM Journal on Computing and Cultural Heritage 17(3): 44:1-44:23 (2024) - [j32]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): 49-58 (2024) - [j31]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): 36:1-36:34 (2024) - [c76]Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi:
Generative Model for Decision Trees. AAAI 2024: 21116-21124 - [c75]Andrea Beretta, Gianmario Ercoli, Alfonso Ferraro, Riccardo Guidotti, Andrea Iommi, Antonio Mastropietro, Anna Monreale, Daniela Rotelli, Salvatore Ruggieri:
Requirements of eXplainable AI in Algorithmic Hiring. AIMMES 2024 - [c74]Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis:
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning. ECAI 2024: 1639-1647 - [c73]Davide Bacciu, Vincenzo Ambriola, Bahador Bahrami, Andrea Ceni, Andrea Cossu, Valerio De Caro, Cosimo Della Santina, Ophelia Deroy, Claudio Gallicchio, Riccardo Guidotti, Sabine Hauert, Simon Jones, Jurgis Karpus, Suet Lee, Jingyue Liu, Vincenzo Lomonaco, Nadine Meertens, Emma Milner, Anna Monreale, Renan Picoreti Nakahara, Mariano Ramírez Montero, Ebrahim Shahabi, Maximilian Stölzle:
EMERGE - Emergent Awareness from Minimal Collectives. ERF (1) 2024: 87-91 - [c72]Rami Haffar, Francesca Naretto, David Sánchez, Anna Monreale, Josep Domingo-Ferrer:
GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning. FUZZ 2024: 1-9 - [c71]Luca Corbucci, Anna Monreale, Roberto Pellungrini:
Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection. SECRYPT 2024: 592-602 - [c70]Saloni Kwatra, Anna Monreale, Francesca Naretto:
Balancing Act: Navigating the Privacy-Utility Spectrum in Principal Component Analysis. SECRYPT 2024: 850-857 - [c69]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 - [i14]Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis:
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning. CoRR abs/2407.15224 (2024) - [i13]Lorenzo Mannocci, Michele Mazza, Anna Monreale, Maurizio Tesconi, Stefano Cresci:
Detection and Characterization of Coordinated Online Behavior: A Survey. CoRR abs/2408.01257 (2024) - 2023
- [j30]Daniela Rotelli, Anna Monreale:
Processing and Understanding Moodle Log Data and Their Temporal Dimension. J. Learn. Anal. 10(2): 126-141 (2023) - [j29]Aleksandra Maslennikova, Daniela Rotelli, Anna Monreale:
Session-Based Time-Window Identification in Virtual Learning Environments. J. Learn. Anal. 10(3): 7-27 (2023) - [j28]Anna Monreale, Roberto Pellungrini:
A Survey on Privacy in Human Mobility. Trans. Data Priv. 16(1): 51-82 (2023) - [c68]Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi:
Semantic Enrichment of Explanations of AI Models for Healthcare. DS 2023: 216-229 - [c67]Cristiano Landi, Riccardo Guidotti, Mirco Nanni, Anna Monreale:
The Trajectory Interval Forest Classifier for Trajectory Classification. SIGSPATIAL/GIS 2023: 67:1-67:4 - [c66]Chiara Bodei, Gianpiero Costantino, Marco De Vincenzi, Ilaria Matteucci, Anna Monreale:
Vehicle Data Collection: A Privacy Policy Analysis and Comparison. ICISSP 2023: 626-633 - [c65]Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni:
Geolet: An Interpretable Model for Trajectory Classification. IDA 2023: 236-248 - [c64]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: 388-393 - [c63]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: 425-432 - [c62]Anna Monreale, Francesca Naretto, Simone Rizzo:
Agnostic Label-Only Membership Inference Attack. NSS 2023: 249-264 - [c61]Luca Corbucci, Riccardo Guidotti, Anna Monreale:
Explaining Black-Boxes in Federated Learning. xAI (2) 2023: 151-163 - [e11]Cataldo Musto, Riccardo Guidotti, Anna Monreale, Erasmo Purificato, Giovanni Semeraro:
Proceedings of the 4th Italian Workshop on Explainable Artificial Intelligence co-located with 22nd International Conference of the Italian Association for Artificial Intelligence(AIxIA 2023), Roma, Italy, November 8, 2023. CEUR Workshop Proceedings 3518, CEUR-WS.org 2023 [contents] - [e10]Fabrizio Falchi, Fosca Giannotti, Anna Monreale, Chiara Boldrini, Salvatore Rinzivillo, Sara Colantonio:
Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023), Pisa, Italy, May 29-30, 2023. CEUR Workshop Proceedings 3486, CEUR-WS.org 2023 [contents] - [e9]Budi Arief, Anna Monreale, Michael Sirivianos, Shujun Li:
Security and Privacy in Social Networks and Big Data - 9th International Symposium, SocialSec 2023, Canterbury, UK, August 14-16, 2023, Proceedings. Lecture Notes in Computer Science 14097, Springer 2023, ISBN 978-981-99-5176-5 [contents] - [i12]Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani:
Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective. CoRR abs/2311.02237 (2023) - [i11]Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni:
A Bag of Receptive Fields for Time Series Extrinsic Predictions. CoRR abs/2311.18029 (2023) - [i10]Francesco Spinnato, Riccardo Guidotti, Anna Monreale:
An Explanation that LASTS: Understanding Any Time Series Classifier. ERCIM News 2023(134) (2023) - 2022
- [j27]Roberto Pellungrini, Luca Pappalardo, Filippo Simini, Anna Monreale:
Modeling Adversarial Behavior Against Mobility Data Privacy. IEEE Trans. Intell. Transp. Syst. 23(2): 1145-1158 (2022) - [c60]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. Canadian AI 2022 - [c59]Lorenzo Mannocci, Stefano Cresci, Anna Monreale, Athina Vakali, Maurizio Tesconi:
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series. IEEE Big Data 2022: 1485-1494 - [c58]Francesca Naretto, Anna Monreale, Fosca Giannotti:
Evaluating the Privacy Exposure of Interpretable Global Explainers. CogMI 2022: 13-19 - [c57]Daniela Rotelli, Anna Monreale, Riccardo Guidotti:
Uncovering Student Temporal Learning Patterns. EC-TEL 2022: 340-353 - [c56]Michele Fontana, Francesca Naretto, Anna Monreale, Fosca Giannotti:
Monitoring Fairness in HOLDA. HHAI 2022: 246-248 - [c55]Francesca Naretto, Anna Monreale, Fosca Giannotti:
Privacy Risk of Global Explainers. HHAI 2022: 249-251 - [c54]Aleksandra Maslennikova, Daniela Rotelli, Anna Monreale:
Visual Analytics for Session-based Time-Windows Identification in Virtual Learning Environments. IV 2022: 251-258 - [c53]Daniela Rotelli, Anna Monreale:
Time-on-Task Estimation by data-driven Outlier Detection based on Learning Activities. LAK 2022: 336-346 - [c52]Anna Monreale, Benedetta Iavarone, Elena Rossetto, Andrea Beretta:
Detecting Addiction, Anxiety, and Depression by Users Psychometric Profiles. WWW (Companion Volume) 2022: 1189-1197 - [e8]Cataldo Musto, Riccardo Guidotti, Anna Monreale, Giovanni Semeraro:
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28 - December 3, 2022. CEUR Workshop Proceedings 3277, CEUR-WS.org 2022 [contents] - [i9]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 abs/2203.15514 (2022) - [i8]Lorenzo Mannocci, Stefano Cresci, Anna Monreale, Athina Vakali, Maurizio Tesconi:
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series. CoRR abs/2209.10361 (2022) - 2021
- [j26]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: 103457 (2021) - [j25]Michele Resta, Anna Monreale, Davide Bacciu:
Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals. Entropy 23(8): 1064 (2021) - [j24]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, 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): 1-6 (2021) - [j23]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): 377-390 (2021) - [j22]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): 79 (2021) - [c51]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 AI 2021 - [c50]Riccardo Guidotti, Anna Monreale:
Designing Shapelets for Interpretable Data-Agnostic Classification. AIES 2021: 532-542 - [c49]Benedetta Iavarone, Anna Monreale:
From depression to suicidal discourse on Reddit. IEEE BigData 2021: 437-445 - [c48]Mattia Setzu, Anna Monreale, Pasquale Minervini:
TRIPLEx: Triple Extraction for Explanation. CogMI 2021: 44-53 - [c47]Valerio Bonsignori, Riccardo Guidotti, Anna Monreale:
Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. DS 2021: 347-357 - [c46]Giacomo Mariani, Anna Monreale, Francesca Naretto:
Privacy Risk Assessment of Individual Psychometric Profiles. DS 2021: 411-421 - [c45]Michele Fontana, Francesca Naretto, Anna Monreale:
A new approach for cross-silo federated learning and its privacy risks. PST 2021: 1-10 - [e7]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e6]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i7]Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti:
GLocalX - From Local to Global Explanations of Black Box AI Models. CoRR abs/2101.07685 (2021) - 2020
- [j21]Francesca Pratesi, Lorenzo Gabrielli, Paolo Cintia, Anna Monreale, Fosca Giannotti:
PRIMULE: Privacy risk mitigation for user profiles. Data Knowl. Eng. 125: 101786 (2020) - [j20]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, 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): 61-66 (2020) - [j19]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): 222-235 (2020) - [c44]Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi:
Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. AAAI 2020: 13665-13668 - [c43]Riccardo Guidotti, Anna Monreale, Francesco Spinnato, Dino Pedreschi, Fosca Giannotti:
Explaining Any Time Series Classifier. CogMI 2020: 167-176 - [c42]Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi:
Predicting and Explaining Privacy Risk Exposure in Mobility Data. DS 2020: 403-418 - [c41]Riccardo Guidotti, Anna Monreale:
Data-Agnostic Local Neighborhood Generation. ICDM 2020: 1040-1045 - [p6]Cecilia Panigutti, Riccardo Guidotti, Anna Monreale, Dino Pedreschi:
Explaining Multi-label Black-Box Classifiers for Health Applications. Precision Health and Medicine 2020: 97-110 - [e5]Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents] - [i6]Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi:
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. CoRR abs/2002.03746 (2020) - [i5]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, 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 abs/2004.05222 (2020)
2010 – 2019
- 2019
- [j18]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): 93:1-93:42 (2019) - [j17]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): 14-23 (2019) - [j16]Vashti Galpin, Paolo Milazzo, Anna Monreale:
Guest editors' foreword. J. Log. Algebraic Methods Program. 109 (2019) - [c40]Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini:
Meaningful Explanations of Black Box AI Decision Systems. AAAI 2019: 9780-9784 - [c39]Anna Monreale:
Explainable AI. CCIA 2019: 5 - [c38]Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi:
Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers. PAKDD (1) 2019: 55-68 - [c37]Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini:
Global Explanations with Local Scoring. PKDD/ECML Workshops (1) 2019: 159-171 - [c36]Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi:
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. ECML/PKDD (1) 2019: 189-205 - [e4]Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro:
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers. Communications in Computer and Information Science 967, Springer 2019, ISBN 978-3-030-14879-9 [contents] - [e3]Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Céline Robardet, Tiziano Squartini:
ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11054, Springer 2019, ISBN 978-3-030-13462-4 [contents] - [e2]Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - [i4]Riccardo Guidotti, Anna Monreale, Dino Pedreschi:
The AI Black Box Explanation Problem. ERCIM News 2019(116) (2019) - 2018
- [j15]Riccardo Guidotti, Lorenzo Gabrielli, Anna Monreale, Dino Pedreschi, Fosca Giannotti:
Discovering temporal regularities in retail customers' shopping behavior. EPJ Data Sci. 7(1): 6 (2018) - [j14]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): 139-167 (2018) - [j13]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): 31:1-31:27 (2018) - [c35]Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo:
Learning Data Mining. DSAA 2018: 361-370 - [c34]Roberto Pellungrini, Anna Monreale, Riccardo Guidotti:
Privacy Risk for Individual Basket Patterns. MIDAS/PAP@PKDD/ECML 2018: 141-155 - [c33]Michela Natilli, Anna Monreale, Riccardo Guidotti, Luca Pappalardo:
Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis. MIDAS/PAP@PKDD/ECML 2018: 156-171 - [c32]Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale:
Analyzing Privacy Risk in Human Mobility Data. STAF Workshops 2018: 114-129 - [p5]Giuseppe Amato, Leonardo Candela, Donatella Castelli, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Fosca Giannotti, Anna Monreale, Mirco Nanni, Pasquale Pagano, Luca Pappalardo, Dino Pedreschi, Francesca Pratesi, Fausto Rabitti, Salvatore Rinzivillo, Giulio Rossetti, Salvatore Ruggieri, Fabrizio Sebastiani, Maurizio Tesconi:
How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. A Comprehensive Guide Through the Italian Database Research 2018: 287-306 - [r1]Francesca Pratesi, Anna Monreale, Dino Pedreschi:
Privacy by Design for Mobility Data Analytics. Handbook of Mobile Data Privacy 2018: 253-277 - [i3]Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti:
A Survey Of Methods For Explaining Black Box Models. CoRR abs/1802.01933 (2018) - [i2]Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Dino Pedreschi, Franco Turini, Fosca Giannotti:
Local Rule-Based Explanations of Black Box Decision Systems. CoRR abs/1805.10820 (2018) - [i1]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 abs/1806.09936 (2018) - 2017
- [j12]Roberto Trasarti, Riccardo Guidotti, Anna Monreale, Fosca Giannotti:
MyWay: Location prediction via mobility profiling. Inf. Syst. 64: 350-367 (2017) - [c31]Francesca Pratesi, Anna Monreale, Fosca Giannotti, Dino Pedreschi:
Privacy Preserving Multidimensional Profiling. GOODTECHS 2017: 142-152 - [c30]Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi:
Clustering Individual Transactional Data for Masses of Users. KDD 2017: 195-204 - [c29]Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale:
Fast Estimation of Privacy Risk in Human Mobility Data. SAFECOMP Workshops 2017: 415-426 - [e1]Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Serge Abiteboul:
Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, PAP 2017, Held in Conjunction with ECML PKDD 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10708, Springer 2017, ISBN 978-3-319-71969-6 [contents] - 2016
- [j11]Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti:
Unveiling mobility complexity through complex network analysis. Soc. Netw. Anal. Min. 6(1): 59:1-59:21 (2016) - [j10]Mirco Nanni, Roberto Trasarti, Anna Monreale, Valerio Grossi, Dino Pedreschi