Science and technology for the explanation of AI decision making

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

Author(s): Rami Haffar, Francesca Naretto, David Sánchez, Anna Monreale, Josep Domingo-Ferrer
Published in: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2024, Page(s) 1-9
Publisher: IEEE
DOI: 10.1109/fuzz-ieee60900.2024.10611878

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

Social Bias Probing: Fairness Benchmarking for Language Models

Author(s): Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein
Published in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024, Page(s) 14653-14671
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2024.emnlp-main.812

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

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

Author(s): Eleonora Cappuccio, Daniele Fadda, Rosa Lanzilotti, Salvatore Rinzivillo
Published in: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023, Page(s) 1-4
Publisher: ACM
DOI: 10.1145/3605390.3610811

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

Enhancing Echo State Networks with Gradient-based Explainability Methods

Author(s): Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu
Published in: ESANN 2024 proceesdings, 2024, Page(s) 17-22
Publisher: Ciaco - i6doc.com
DOI: 10.14428/esann/2024.es2024-78

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

The ethical impact assessment of selling life insurance to titanic passengers

Author(s): Gezici, Gizem; Mannari, Chiara; Orlandi, Lorenzo
Published in: HHAI-WS 2023 - Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence, pp. 35–50, Munich, Germany, 26-27/06/2023, Issue 20, 2023
Publisher: CEUR-WS

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

Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space

Author(s): Simone Piaggesi, Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Published in: IEEE Access, Issue 12, 2024, Page(s) 168983-169000, ISSN 2169-3536
Publisher: 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

Author(s): Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Published in: IEEE Access, Issue 12, 2024, Page(s) 137893-137912, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3464743

Topics in Selective Classification

Author(s): Andrea Pugnana
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 37, 2023, Page(s) 16129-16130, ISSN 2374-3468
Publisher: ACM
DOI: 10.1609/aaai.v37i13.26925

Inference through innovation processes tested in the authorship attribution task

Author(s): Giulio Tani Raffaelli, Margherita Lalli, Francesca Tria
Published in: Communications Physics, Issue 7, 2024, ISSN 2399-3650
Publisher: Nature Communications Physics
DOI: 10.1038/s42005-024-01714-6

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 Authorship Identification in Cultural Heritage Applications

Author(s): Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani
Published in: Journal on Computing and Cultural Heritage, Issue 17, 2024, Page(s) 1-23, ISSN 1556-4673
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3654675

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

Author(s): Marzio Di Vece, Frank P. Pijpers, Diego Garlaschelli
Published in: Scientific Reports, Issue 14, 2024, ISSN 2045-2322
Publisher: Nature Publishing Group
DOI: 10.1038/s41598-024-53655-3

Understanding Any Time Series Classifier with a Subsequence-based Explainer

Author(s): Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni, Dino Pedreschi, Fosca Giannotti
Published in: ACM Transactions on Knowledge Discovery from Data, Issue 18, 2023, Page(s) 1-34, ISSN 1556-4681
Publisher: 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

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

Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification

Author(s): Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
Published in: Diagnostics, Issue 14, 2024, Page(s) 753, ISSN 2075-4418
Publisher: Diagnostics
DOI: 10.3390/diagnostics14070753

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

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

Author(s): 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
Published in: Information Fusion, Issue 106, 2024, Page(s) 102301, ISSN 1566-2535
Publisher: Elsevier BV
DOI: 10.1016/j.inffus.2024.102301

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

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

Author(s): Giulia Peduzzi, Alessio Felici, Roberto Pellungrini, Francesca Giorgolo, Riccardo Farinella, Manuel Gentiluomo, Andrea Spinelli, Gabriele Capurso, Anna Monreale, Federico Canzian, Marco Calderisi, Daniele Campa
Published in: Digestive and Liver Disease, Issue 56, 2024, Page(s) 1054-1063, ISSN 1590-8658
Publisher: W. B. Saunders Co., Ltd.
DOI: 10.1016/j.dld.2023.10.015

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

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

Author(s): Carlo Metta, Andrea Beretta, Roberto Pellungrini, Salvatore Rinzivillo, Fosca Giannotti
Published in: Bioengineering, Issue 11, 2024, Page(s) 369, ISSN 2306-5354
Publisher: Bioengineering
DOI: 10.3390/bioengineering11040369

Effects of Route Randomization on Urban Emissions

Author(s): Giuliano Cornacchia, Mirco Nanni, Dino Pedreschi, Luca Pappalardo
Published in: SUMO Conference Proceedings, Issue 4, 2024, Page(s) 75-87, ISSN 2750-4425
Publisher: TIB Open Publishing
DOI: 10.52825/scp.v4i.217

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

Generative Model for Decision Trees

Author(s): Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 38, 2024, Page(s) 21116-21124, ISSN 2374-3468
Publisher: AAAI Press
DOI: 10.1609/aaai.v38i19.30104

Explaining Black-Boxes in Federated Learning

Author(s): Luca Corbucci, Riccardo Guidotti, Anna Monreale
Published in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024, Page(s) 151-163
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44067-0_8

A Frank System for Co-Evolutionary Hybrid Decision-Making

Author(s): Federico Mazzoni, Riccardo Guidotti, Alessio Malizia
Published in: Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XXII, 2024, Page(s) 236-248
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-58553-1_19

Causality-Aware Local Interpretable Model-Agnostic Explanations

Author(s): Martina Cinquini, Riccardo Guidotti
Published in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024, Page(s) 108-124
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63800-8_6

The Importance of Time in Causal Algorithmic Recourse

Author(s): Isacco Beretta, Martina Cinquini
Published in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2023, Page(s) 283-298
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44064-9_16

An Interactive Interface for Feature Space Navigation

Author(s): Eleonora Cappuccio, Isacco Beretta, Marta Marchiori Manerba, Salvatore Rinzivillo
Published in: Frontiers in Artificial Intelligence and Applications, HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024
Publisher: IOS Press
DOI: 10.3233/faia240184

Interpretable Data Partitioning Through Tree-Based Clustering Methods

Author(s): Riccardo Guidotti, Cristiano Landi, Andrea Beretta, Daniele Fadda, Mirco Nanni
Published in: Lecture Notes in Computer Science, Discovery Science, 2024, Page(s) 492-507
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_33

Exploring Large Language Models Capabilities to Explain Decision Trees

Author(s): Paulo Bruno Serafim, Pierluigi Crescenzi, Gizem Gezici, Eleonora Cappuccio, Salvatore Rinzivillo, Fosca Giannotti
Published in: Frontiers in Artificial Intelligence and Applications, HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024
Publisher: IOS Press
DOI: 10.3233/faia240183

Text to Time Series Representations: Towards Interpretable Predictive Models

Author(s): Mattia Poggioli, Francesco Spinnato, Riccardo Guidotti
Published in: Lecture Notes in Computer Science, Discovery Science, 2024, Page(s) 230-245
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_16

Interpretable and Fair Mechanisms for Abstaining Classifiers

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

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

EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories

Author(s): Francesca Naretto, Roberto Pellungrini, Salvatore Rinzivillo, Daniele Fadda
Published in: Lecture Notes in Computer Science, Discovery Science, 2024, Page(s) 325-340
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_22

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

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

Author(s): Clara Punzi, Aleksandra Maslennikova, Gizem Gezici, Roberto Pellungrini, Fosca Giannotti
Published in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024, Page(s) 621-635
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44067-0_31

FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers

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

Declarative Reasoning on Explanations Using Constraint Logic Programming

Author(s): Laura State, Salvatore Ruggieri, Franco Turini
Published in: Lecture Notes in Computer Science, Logics in Artificial Intelligence, 2023, Page(s) 132-141
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-43619-2_10

Semantic Enrichment of Explanations of AI Models for Healthcare

Author(s): Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi
Published in: Lecture Notes in Computer Science, Discovery Science, 2024, Page(s) 216-229
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_15

Reason to Explain: Interactive Contrastive Explanations (REASONX)

Author(s): Laura State, Salvatore Ruggieri, Franco Turini
Published in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2023, Page(s) 421-437
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44064-9_22

Data-Agnostic Pivotal Instances Selection for Decision-Making Models

Author(s): Alessio Cascione, Mattia Setzu, Riccardo Guidotti
Published in: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024, Page(s) 367-386
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70341-6_22

DINE: Dimensional Interpretability of Node Embeddings

Author(s): Simone Piaggesi, Megha Khosla, André Panisson, Avishek Anand
Published in: IEEE Transactions on Knowledge and Data Engineering, Issue 36, 2024, Page(s) 7986-7997, ISSN 1041-4347
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2024.3425460

Explaining Siamese networks in few-shot learning

Author(s): Andrea Fedele, Riccardo Guidotti, Dino Pedreschi
Published in: Machine Learning, Issue 113, 2024, Page(s) 7723-7760, ISSN 0885-6125
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10994-024-06529-8

Mapping the landscape of ethical considerations in explainable AI research

Author(s): Luca Nannini, Marta Marchiori Manerba, Isacco Beretta
Published in: Ethics and Information Technology, Issue 26, 2024, ISSN 1388-1957
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10676-024-09773-7

Drifting explanations in continual learning

Author(s): Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
Published in: Neurocomputing, Issue 597, 2024, Page(s) 127960, ISSN 0925-2312
Publisher: Elsevier BV
DOI: 10.1016/j.neucom.2024.127960

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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