Science and technology for the explanation of AI decision making

GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning

Autorzy: Rami Haffar, Francesca Naretto, David Sánchez, Anna Monreale, Josep Domingo-Ferrer
Opublikowane w: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2024, Strona(/y) 1-9
Wydawca: IEEE
DOI: 10.1109/fuzz-ieee60900.2024.10611878

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

Social Bias Probing: Fairness Benchmarking for Language Models

Autorzy: Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein
Opublikowane w: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024, Strona(/y) 14653-14671
Wydawca: Association for Computational Linguistics
DOI: 10.18653/v1/2024.emnlp-main.812

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

Demo: an Interactive Visualization Combining Rule-Based and Feature Importance Explanations

Autorzy: Eleonora Cappuccio, Daniele Fadda, Rosa Lanzilotti, Salvatore Rinzivillo
Opublikowane w: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023, Strona(/y) 1-4
Wydawca: ACM
DOI: 10.1145/3605390.3610811

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

Enhancing Echo State Networks with Gradient-based Explainability Methods

Autorzy: Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu
Opublikowane w: ESANN 2024 proceesdings, 2024, Strona(/y) 17-22
Wydawca: Ciaco - i6doc.com
DOI: 10.14428/esann/2024.es2024-78

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

The ethical impact assessment of selling life insurance to titanic passengers

Autorzy: Gezici, Gizem; Mannari, Chiara; Orlandi, Lorenzo
Opublikowane w: HHAI-WS 2023 - Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence, pp. 35–50, Munich, Germany, 26-27/06/2023, Numer 20, 2023
Wydawca: CEUR-WS

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

Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space

Autorzy: Simone Piaggesi, Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Opublikowane w: IEEE Access, Numer 12, 2024, Strona(/y) 168983-169000, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3496114

Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields

Autorzy: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Opublikowane w: IEEE Access, Numer 12, 2024, Strona(/y) 137893-137912, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3464743

Topics in Selective Classification

Autorzy: Andrea Pugnana
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, Numer 37, 2023, Strona(/y) 16129-16130, ISSN 2374-3468
Wydawca: ACM
DOI: 10.1609/aaai.v37i13.26925

Inference through innovation processes tested in the authorship attribution task

Autorzy: Giulio Tani Raffaelli, Margherita Lalli, Francesca Tria
Opublikowane w: Communications Physics, Numer 7, 2024, ISSN 2399-3650
Wydawca: Nature Communications Physics
DOI: 10.1038/s42005-024-01714-6

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 Authorship Identification in Cultural Heritage Applications

Autorzy: Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani
Opublikowane w: Journal on Computing and Cultural Heritage, Numer 17, 2024, Strona(/y) 1-23, ISSN 1556-4673
Wydawca: Association for Computing Machinary, Inc.
DOI: 10.1145/3654675

Commodity-specific triads in the Dutch inter-industry production network

Autorzy: Marzio Di Vece, Frank P. Pijpers, Diego Garlaschelli
Opublikowane w: Scientific Reports, Numer 14, 2024, ISSN 2045-2322
Wydawca: Nature Publishing Group
DOI: 10.1038/s41598-024-53655-3

Understanding Any Time Series Classifier with a Subsequence-based Explainer

Autorzy: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni, Dino Pedreschi, Fosca Giannotti
Opublikowane w: ACM Transactions on Knowledge Discovery from Data, Numer 18, 2023, Strona(/y) 1-34, ISSN 1556-4681
Wydawca: Special Interest Group on Computer Graphics, Association for Computing Machinery
DOI: 10.1145/3624480

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

Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification

Autorzy: Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
Opublikowane w: Diagnostics, Numer 14, 2024, Strona(/y) 753, ISSN 2075-4418
Wydawca: Diagnostics
DOI: 10.3390/diagnostics14070753

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

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Autorzy: Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
Opublikowane w: Information Fusion, Numer 106, 2024, Strona(/y) 102301, ISSN 1566-2535
Wydawca: Elsevier BV
DOI: 10.1016/j.inffus.2024.102301

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

Analysis of exposome and genetic variability suggests stress as a major contributor for development of pancreatic ductal adenocarcinoma

Autorzy: Giulia Peduzzi, Alessio Felici, Roberto Pellungrini, Francesca Giorgolo, Riccardo Farinella, Manuel Gentiluomo, Andrea Spinelli, Gabriele Capurso, Anna Monreale, Federico Canzian, Marco Calderisi, Daniele Campa
Opublikowane w: Digestive and Liver Disease, Numer 56, 2024, Strona(/y) 1054-1063, ISSN 1590-8658
Wydawca: W. B. Saunders Co., Ltd.
DOI: 10.1016/j.dld.2023.10.015

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

Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence

Autorzy: Carlo Metta, Andrea Beretta, Roberto Pellungrini, Salvatore Rinzivillo, Fosca Giannotti
Opublikowane w: Bioengineering, Numer 11, 2024, Strona(/y) 369, ISSN 2306-5354
Wydawca: Bioengineering
DOI: 10.3390/bioengineering11040369

Effects of Route Randomization on Urban Emissions

Autorzy: Giuliano Cornacchia, Mirco Nanni, Dino Pedreschi, Luca Pappalardo
Opublikowane w: SUMO Conference Proceedings, Numer 4, 2024, Strona(/y) 75-87, ISSN 2750-4425
Wydawca: TIB Open Publishing
DOI: 10.52825/scp.v4i.217

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

Generative Model for Decision Trees

Autorzy: Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, Numer 38, 2024, Strona(/y) 21116-21124, ISSN 2374-3468
Wydawca: AAAI Press
DOI: 10.1609/aaai.v38i19.30104

Explaining Black-Boxes in Federated Learning

Autorzy: Luca Corbucci, Riccardo Guidotti, Anna Monreale
Opublikowane w: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024, Strona(/y) 151-163
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44067-0_8

A Frank System for Co-Evolutionary Hybrid Decision-Making

Autorzy: Federico Mazzoni, Riccardo Guidotti, Alessio Malizia
Opublikowane w: Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XXII, 2024, Strona(/y) 236-248
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-58553-1_19

Causality-Aware Local Interpretable Model-Agnostic Explanations

Autorzy: Martina Cinquini, Riccardo Guidotti
Opublikowane w: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024, Strona(/y) 108-124
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63800-8_6

The Importance of Time in Causal Algorithmic Recourse

Autorzy: Isacco Beretta, Martina Cinquini
Opublikowane w: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2023, Strona(/y) 283-298
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44064-9_16

An Interactive Interface for Feature Space Navigation

Autorzy: Eleonora Cappuccio, Isacco Beretta, Marta Marchiori Manerba, Salvatore Rinzivillo
Opublikowane w: Frontiers in Artificial Intelligence and Applications, HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024
Wydawca: IOS Press
DOI: 10.3233/faia240184

Interpretable Data Partitioning Through Tree-Based Clustering Methods

Autorzy: Riccardo Guidotti, Cristiano Landi, Andrea Beretta, Daniele Fadda, Mirco Nanni
Opublikowane w: Lecture Notes in Computer Science, Discovery Science, 2024, Strona(/y) 492-507
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_33

Exploring Large Language Models Capabilities to Explain Decision Trees

Autorzy: Paulo Bruno Serafim, Pierluigi Crescenzi, Gizem Gezici, Eleonora Cappuccio, Salvatore Rinzivillo, Fosca Giannotti
Opublikowane w: Frontiers in Artificial Intelligence and Applications, HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024
Wydawca: IOS Press
DOI: 10.3233/faia240183

Text to Time Series Representations: Towards Interpretable Predictive Models

Autorzy: Mattia Poggioli, Francesco Spinnato, Riccardo Guidotti
Opublikowane w: Lecture Notes in Computer Science, Discovery Science, 2024, Strona(/y) 230-245
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_16

Interpretable and Fair Mechanisms for Abstaining Classifiers

Autorzy: Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
Opublikowane w: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024, Strona(/y) 416-433
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70368-3_25

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

EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories

Autorzy: Francesca Naretto, Roberto Pellungrini, Salvatore Rinzivillo, Daniele Fadda
Opublikowane w: Lecture Notes in Computer Science, Discovery Science, 2024, Strona(/y) 325-340
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_22

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

Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic

Autorzy: Clara Punzi, Aleksandra Maslennikova, Gizem Gezici, Roberto Pellungrini, Fosca Giannotti
Opublikowane w: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024, Strona(/y) 621-635
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44067-0_31

FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers

Autorzy: Guillermo Fernandez, Riccardo Guidotti, Fosca Giannotti, Mattia Setzu, Juan A. Aledo, Jose A. Gámez, Jose M. Puerta
Opublikowane w: Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XXII, 2024, Strona(/y) 197-209
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-58553-1_16

Declarative Reasoning on Explanations Using Constraint Logic Programming

Autorzy: Laura State, Salvatore Ruggieri, Franco Turini
Opublikowane w: Lecture Notes in Computer Science, Logics in Artificial Intelligence, 2023, Strona(/y) 132-141
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-43619-2_10

Semantic Enrichment of Explanations of AI Models for Healthcare

Autorzy: Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi
Opublikowane w: Lecture Notes in Computer Science, Discovery Science, 2024, Strona(/y) 216-229
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_15

Reason to Explain: Interactive Contrastive Explanations (REASONX)

Autorzy: Laura State, Salvatore Ruggieri, Franco Turini
Opublikowane w: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2023, Strona(/y) 421-437
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44064-9_22

Data-Agnostic Pivotal Instances Selection for Decision-Making Models

Autorzy: Alessio Cascione, Mattia Setzu, Riccardo Guidotti
Opublikowane w: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024, Strona(/y) 367-386
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70341-6_22

DINE: Dimensional Interpretability of Node Embeddings

Autorzy: Simone Piaggesi, Megha Khosla, André Panisson, Avishek Anand
Opublikowane w: IEEE Transactions on Knowledge and Data Engineering, Numer 36, 2024, Strona(/y) 7986-7997, ISSN 1041-4347
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2024.3425460

Explaining Siamese networks in few-shot learning

Autorzy: Andrea Fedele, Riccardo Guidotti, Dino Pedreschi
Opublikowane w: Machine Learning, Numer 113, 2024, Strona(/y) 7723-7760, ISSN 0885-6125
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10994-024-06529-8

Mapping the landscape of ethical considerations in explainable AI research

Autorzy: Luca Nannini, Marta Marchiori Manerba, Isacco Beretta
Opublikowane w: Ethics and Information Technology, Numer 26, 2024, ISSN 1388-1957
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10676-024-09773-7

Drifting explanations in continual learning

Autorzy: Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
Opublikowane w: Neurocomputing, Numer 597, 2024, Strona(/y) 127960, ISSN 0925-2312
Wydawca: Elsevier BV
DOI: 10.1016/j.neucom.2024.127960

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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