Science and technology for the explanation of AI decision making

Investigating Debiasing Effects on Classification and Explainability

Author(s): Marchiori Manerba Marta, Morini Virginia
Published in: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-23618-1_32

Explaining Siamese Networks in Few-Shot Learning for Audio Data

Author(s): Fedele Andrea, Guidotti Riccardo, Pedreschi Dino
Published in: Discovery Science 25th International Conference, DS 2022, Proceedings, 2022
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-18840-4_36

TRIPLEx: Triple Extraction for Explanation

Author(s): Mattia Setzu, Anna Monreale, Pasquale Minervini
Published in: IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), 2021
Publisher: IEEE
DOI: 10.1109/cogmi52975.2021.00015

Geolet: An Interpretable Model for Trajectory Classification

Author(s): Landi Cristiano,Spinnato Francesco, Guidotti Riccardo, Monreale Anna, Nanni Mirco
Published in: Proceedings of the 2023 conference Advances in Intelligent Data Analysis XXI, 2023
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-30047-9_19

Privacy Risk of Global Explainers

Author(s): Francesca Naretto, Anna Monreale, Fosca Giannotti
Published in: Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, 2022
Publisher: IOS Press
DOI: 10.3233/faia220206

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

Author(s): Guidotti Riccardo, Monreale Anna, Matwin Stan, Pedreschi Dino
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v34i09.7116

Explaining Any Time Series Classifier

Author(s): Riccardo Guidotti, Anna Monreale, Francesco Spinnato, Dino Pedreschi, Fosca Giannotti
Published in: IEEE Second International Conference on Cognitive Machine Intelligence (CogMI), 2020, Page(s) 167-176
Publisher: IEEE
DOI: 10.1109/cogmi50398.2020.00029

Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers

Author(s): Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
Published in: Volume 354: HHAI2022: Augmenting Human Intellect, 2022
Publisher: IOS Press
DOI: 10.3233/faia220209

Data-Agnostic Local Neighborhood Generation

Author(s): Riccardo Guidotti, Anna Monreale
Published in: 2020 IEEE International Conference on Data Mining (ICDM), 2020, Page(s) 1040-1045, ISBN 978-1-7281-8316-9
Publisher: IEEE
DOI: 10.1109/icdm50108.2020.00122

Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems

Author(s): Cecilia Panigutti, Andrea Beretta, Fosca Giannotti, Dino Pedreschi
Published in: CHI '22: CHI Conference on Human Factors in Computing Systems, 2022, ISBN 9781450391573
Publisher: Association for Computing Machinery
DOI: 10.1145/3491102.3502104

Evaluating the Privacy Exposure of Interpretable Global Explainers

Author(s): Naretto Francesca, Monreale Anna, Giannotti Fosca
Published in: IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI), 2022
Publisher: IEEE
DOI: 10.1109/cogmi56440.2022.00012

FairShades: Fairness Auditing via Explainability in Abusive Language Detection Systems

Author(s): Marchiori Manerba, Marta; Guidotti, Riccardo
Published in: 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), 2021
Publisher: IEEE Computer Society
DOI: 10.1109/cogmi52975.2021.00014

Transparent Latent Space Counterfactual Explanations for Tabular Data

Author(s): Bodria Francesco, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Published in: 2022
Publisher: IEEE
DOI: 10.1109/dsaa54385.2022.10032407

Predicting and Explaining Privacy Risk Exposure in Mobility Data

Author(s): Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi
Published in: Discovery Science Conference, 2020, Page(s) 403-418
Publisher: Springer
DOI: 10.1007/978-3-030-61527-7_27

Explaining Crash Predictions on~Multivariate Time Series Data

Author(s): Spinnato Francesco, Guidotti Riccardo, Nanni Mirco, Maccagnola Daniele, Paciello Giulia, Bencini Farina Antonio
Published in: Discovery Science 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings, 2022
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-18840-4_39

Ensemble of Counterfactual Explainers

Author(s): Guidotti, Riccardo; Ruggieri, Salvatore
Published in: Discovery Science: 24th International Conference, DS 2021, 2021
Publisher: ACM
DOI: 10.1007/978-3-030-88942-5_28

Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks

Author(s): Francesca Naretto, Roberto Pellungrini, Franco Maria Nardini, Fosca Giannotti
Published in: ECML PKDD 2020 Workshops, 2020
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-65965-3_34

AUC-based Selective Classification

Author(s): Pugnana Andrea, Ruggieri Salvatore
Published in: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 2023
Publisher: PMLR

Designing Shapelets for Interpretable Data-Agnostic Classification

Author(s): Guidotti, Riccardo; Monreale, Anna
Published in: AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021
Publisher: ACM
DOI: 10.1145/3461702.3462553

Interpretable Latent Space to Enable Counterfactual Explanations

Author(s): Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Published in: Lecture Notes in Artificial Intelligence (LNAI), 2022, ISSN 0302-9743
Publisher: Springer Cham
DOI: 10.1007/978-3-031-18840-4_37

Doctor XAI: an ontology-based approach to black-box sequential data classification explanations

Author(s): Cecilia Panigutti,Alan Perotti,Dino Pedreschi
Published in: FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020, Page(s) 629–639
Publisher: ACM
DOI: 10.1145/3351095.3372855

Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars

Author(s): Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri
Published in: Lecture Notes in Computer Science, 2020
Publisher: Springer
DOI: 10.1007/978-3-030-61527-7_24

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

Author(s): Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
Published in: Artificial Intelligence, Issue 294, 2021, ISSN 0004-3702
Publisher: Elsevier BV
DOI: 10.1016/j.artint.2021.103457

Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning

Author(s): Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
Published in: International Journal of Data Science and Analytics, 2023, ISSN 2364-415X
Publisher: Springer Science+Business Media
DOI: 10.1007/s41060-023-00401-z

Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions

Author(s): Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
Published in: IEEE Access (Volume: 10), 2022, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3207765

Evaluating local explanation methods on ground truth

Author(s): Guidotti, Riccardo
Published in: Artificial Intelligence, 2020, ISSN 0004-3702
Publisher: Elsevier BV
DOI: 10.1016/j.artint.2020.103428

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals

Author(s): Michele Resta, Anna Monreale, Davide Bacciu
Published in: Entropy, Issue 8, 2021, ISSN 1099-4300
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e23081064

Counterfactual explanations and how to find them: literature review and benchmarking

Author(s): Riccardo Guidotti
Published in: Data Mining and Knowledge Discovery, 2022, ISSN 1384-5810
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10618-022-00831-6

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling

Author(s): Metta, Carlo; Guidotti, Riccardo; Yin, Yuan; Gallinari, Patrick; Rinzivillo, Salvatore
Published in: 2021 IEEE Symposium on Computers and Communications (ISCC), 2021, ISSN 2642-7389
Publisher: IEEE
DOI: 10.1109/iscc53001.2021.9631485

FairLens: Auditing black-box clinical decision support systems

Author(s): Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi
Published in: Information Processing & Management, Issue 58, 2021, ISSN 0306-4573
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.ipm.2021.102657

Factual and Counterfactual Explanations for Black Box Decision Making

Author(s): Guidotti, R., Monreale, A., Giannotti, F., Pedreschi, D., Ruggieri, S., Turini, F.
Published in: IEEE Intelligent Systems, 2019, Page(s) 14 - 23, ISSN 1541-1672
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mis.2019.2957223

Co-design of human-centered, explainable AI for clinical decision support

Author(s): Panigutti, C., Beretta, A., Fadda, D., Giannotti, F., Pedreschi, D., Perotti, A., Rinzivillo, S.
Published in: ACM Transactions on Interactive Intelligent Systems, 2023, ISSN 2160-6455
Publisher: Association for Computing Machinery (ACM)
DOI: 10.1145/3587271

Benchmarking and survey of explanation methods for black box models

Author(s): Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
Published in: Data Mining and Knowledge Discovery, Issue Volume 37 Issue 3, May 2023, 2023, ISSN 1384-5810
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10618-023-00933-9

Understanding peace through the world news

Author(s): Voukelatou Vasiliki, Miliou Ioanna, Giannotti Fosca, Pappalardo Luca
Published in: EPJ Data Science, 2022, ISSN 2193-1127
Publisher: Springer Science and Business Media LLC
DOI: 10.1140/epjds/s13688-022-00315-z

Deriving a Single Interpretable Model by Merging Tree-Based Classifiers

Author(s): Valerio Bonsignori, Riccardo Guidotti, Anna Monreale
Published in: Discovery Science, 2021, ISSN 0302-9743
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-88942-5_27

Principles of Explainable Artificial Intelligence

Author(s): Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Fosca Giannotti
Published in: Explainable AI Within the Digital Transformation and Cyber Physical Systems, 2021, Page(s) 9-31, ISBN 978-3-030-76409-8
Publisher: Springer, Cham
DOI: 10.1145/3461702.3462553

Opening the black box: a primer for anti-discrimination

Author(s): Ruggieri Salvatore, Giannotti Fosca, Guidotti Riccardo, Monreale Anna, Pedreschi Dino, Turini Franco
Published in: ANNUARIO DI DIRITTO COMPARATO E DI STUDI LEGISLATIVI, 2021, ISSN 2039-9871
Publisher: Esi - Edizioni scientifiche Italiane

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