Science and technology for the explanation of AI decision making

Investigating Debiasing Effects on Classification and Explainability

Autorzy: Marchiori Manerba Marta, Morini Virginia
Opublikowane w: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Wydawca: Springer, Cham
DOI: 10.1007/978-3-031-23618-1_32

Explaining Siamese Networks in Few-Shot Learning for Audio Data

Autorzy: Fedele Andrea, Guidotti Riccardo, Pedreschi Dino
Opublikowane w: Discovery Science 25th International Conference, DS 2022, Proceedings, 2022
Wydawca: Springer, Cham
DOI: 10.1007/978-3-031-18840-4_36

TRIPLEx: Triple Extraction for Explanation

Autorzy: Mattia Setzu, Anna Monreale, Pasquale Minervini
Opublikowane w: IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), 2021
Wydawca: IEEE
DOI: 10.1109/cogmi52975.2021.00015

Geolet: An Interpretable Model for Trajectory Classification

Autorzy: Landi Cristiano,Spinnato Francesco, Guidotti Riccardo, Monreale Anna, Nanni Mirco
Opublikowane w: Proceedings of the 2023 conference Advances in Intelligent Data Analysis XXI, 2023
Wydawca: Springer, Cham
DOI: 10.1007/978-3-031-30047-9_19

Privacy Risk of Global Explainers

Autorzy: Francesca Naretto, Anna Monreale, Fosca Giannotti
Opublikowane w: Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, 2022
Wydawca: IOS Press
DOI: 10.3233/faia220206

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

Autorzy: Guidotti Riccardo, Monreale Anna, Matwin Stan, Pedreschi Dino
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Wydawca: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v34i09.7116

Explaining Any Time Series Classifier

Autorzy: Riccardo Guidotti, Anna Monreale, Francesco Spinnato, Dino Pedreschi, Fosca Giannotti
Opublikowane w: IEEE Second International Conference on Cognitive Machine Intelligence (CogMI), 2020, Strona(/y) 167-176
Wydawca: IEEE
DOI: 10.1109/cogmi50398.2020.00029

Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers

Autorzy: Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
Opublikowane w: Volume 354: HHAI2022: Augmenting Human Intellect, 2022
Wydawca: IOS Press
DOI: 10.3233/faia220209

Data-Agnostic Local Neighborhood Generation

Autorzy: Riccardo Guidotti, Anna Monreale
Opublikowane w: 2020 IEEE International Conference on Data Mining (ICDM), 2020, Strona(/y) 1040-1045, ISBN 978-1-7281-8316-9
Wydawca: 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

Autorzy: Cecilia Panigutti, Andrea Beretta, Fosca Giannotti, Dino Pedreschi
Opublikowane w: CHI '22: CHI Conference on Human Factors in Computing Systems, 2022, ISBN 9781450391573
Wydawca: Association for Computing Machinery
DOI: 10.1145/3491102.3502104

Evaluating the Privacy Exposure of Interpretable Global Explainers

Autorzy: Naretto Francesca, Monreale Anna, Giannotti Fosca
Opublikowane w: IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI), 2022
Wydawca: IEEE
DOI: 10.1109/cogmi56440.2022.00012

FairShades: Fairness Auditing via Explainability in Abusive Language Detection Systems

Autorzy: Marchiori Manerba, Marta; Guidotti, Riccardo
Opublikowane w: 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), 2021
Wydawca: IEEE Computer Society
DOI: 10.1109/cogmi52975.2021.00014

Transparent Latent Space Counterfactual Explanations for Tabular Data

Autorzy: Bodria Francesco, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Opublikowane w: 2022
Wydawca: IEEE
DOI: 10.1109/dsaa54385.2022.10032407

Predicting and Explaining Privacy Risk Exposure in Mobility Data

Autorzy: Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi
Opublikowane w: Discovery Science Conference, 2020, Strona(/y) 403-418
Wydawca: Springer
DOI: 10.1007/978-3-030-61527-7_27

Explaining Crash Predictions on~Multivariate Time Series Data

Autorzy: Spinnato Francesco, Guidotti Riccardo, Nanni Mirco, Maccagnola Daniele, Paciello Giulia, Bencini Farina Antonio
Opublikowane w: Discovery Science 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings, 2022
Wydawca: Springer, Cham
DOI: 10.1007/978-3-031-18840-4_39

Ensemble of Counterfactual Explainers

Autorzy: Guidotti, Riccardo; Ruggieri, Salvatore
Opublikowane w: Discovery Science: 24th International Conference, DS 2021, 2021
Wydawca: ACM
DOI: 10.1007/978-3-030-88942-5_28

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

Autorzy: Francesca Naretto, Roberto Pellungrini, Franco Maria Nardini, Fosca Giannotti
Opublikowane w: ECML PKDD 2020 Workshops, 2020
Wydawca: Springer, Cham
DOI: 10.1007/978-3-030-65965-3_34

AUC-based Selective Classification

Autorzy: Pugnana Andrea, Ruggieri Salvatore
Opublikowane w: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 2023
Wydawca: PMLR

Designing Shapelets for Interpretable Data-Agnostic Classification

Autorzy: Guidotti, Riccardo; Monreale, Anna
Opublikowane w: AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021
Wydawca: ACM
DOI: 10.1145/3461702.3462553

Interpretable Latent Space to Enable Counterfactual Explanations

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

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

Autorzy: Cecilia Panigutti,Alan Perotti,Dino Pedreschi
Opublikowane w: FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020, Strona(/y) 629–639
Wydawca: ACM
DOI: 10.1145/3351095.3372855

Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars

Autorzy: Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri
Opublikowane w: Lecture Notes in Computer Science, 2020
Wydawca: Springer
DOI: 10.1007/978-3-030-61527-7_24

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

Autorzy: Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
Opublikowane w: Artificial Intelligence, Numer 294, 2021, ISSN 0004-3702
Wydawca: Elsevier BV
DOI: 10.1016/j.artint.2021.103457

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

Autorzy: Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
Opublikowane w: International Journal of Data Science and Analytics, 2023, ISSN 2364-415X
Wydawca: Springer Science+Business Media
DOI: 10.1007/s41060-023-00401-z

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

Autorzy: Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
Opublikowane w: IEEE Access (Volume: 10), 2022, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3207765

Evaluating local explanation methods on ground truth

Autorzy: Guidotti, Riccardo
Opublikowane w: Artificial Intelligence, 2020, ISSN 0004-3702
Wydawca: Elsevier BV
DOI: 10.1016/j.artint.2020.103428

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals

Autorzy: Michele Resta, Anna Monreale, Davide Bacciu
Opublikowane w: Entropy, Numer 8, 2021, ISSN 1099-4300
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e23081064

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

Autorzy: Riccardo Guidotti
Opublikowane w: Data Mining and Knowledge Discovery, 2022, ISSN 1384-5810
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10618-022-00831-6

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

Autorzy: Metta, Carlo; Guidotti, Riccardo; Yin, Yuan; Gallinari, Patrick; Rinzivillo, Salvatore
Opublikowane w: 2021 IEEE Symposium on Computers and Communications (ISCC), 2021, ISSN 2642-7389
Wydawca: IEEE
DOI: 10.1109/iscc53001.2021.9631485

FairLens: Auditing black-box clinical decision support systems

Autorzy: Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi
Opublikowane w: Information Processing & Management, Numer 58, 2021, ISSN 0306-4573
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.ipm.2021.102657

Factual and Counterfactual Explanations for Black Box Decision Making

Autorzy: Guidotti, R., Monreale, A., Giannotti, F., Pedreschi, D., Ruggieri, S., Turini, F.
Opublikowane w: IEEE Intelligent Systems, 2019, Strona(/y) 14 - 23, ISSN 1541-1672
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mis.2019.2957223

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

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

Benchmarking and survey of explanation methods for black box models

Autorzy: Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
Opublikowane w: Data Mining and Knowledge Discovery, Numer Volume 37 Numer 3, May 2023, 2023, ISSN 1384-5810
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10618-023-00933-9

Understanding peace through the world news

Autorzy: Voukelatou Vasiliki, Miliou Ioanna, Giannotti Fosca, Pappalardo Luca
Opublikowane w: EPJ Data Science, 2022, ISSN 2193-1127
Wydawca: Springer Science and Business Media LLC
DOI: 10.1140/epjds/s13688-022-00315-z

Deriving a Single Interpretable Model by Merging Tree-Based Classifiers

Autorzy: Valerio Bonsignori, Riccardo Guidotti, Anna Monreale
Opublikowane w: Discovery Science, 2021, ISSN 0302-9743
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-88942-5_27

Principles of Explainable Artificial Intelligence

Autorzy: Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Fosca Giannotti
Opublikowane w: Explainable AI Within the Digital Transformation and Cyber Physical Systems, 2021, Strona(/y) 9-31, ISBN 978-3-030-76409-8
Wydawca: Springer, Cham
DOI: 10.1145/3461702.3462553

Opening the black box: a primer for anti-discrimination

Autorzy: Ruggieri Salvatore, Giannotti Fosca, Guidotti Riccardo, Monreale Anna, Pedreschi Dino, Turini Franco
Opublikowane w: ANNUARIO DI DIRITTO COMPARATO E DI STUDI LEGISLATIVI, 2021, ISSN 2039-9871
Wydawca: Esi - Edizioni scientifiche Italiane

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