Science and technology for the explanation of AI decision making

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

Autores: Rami Haffar, Francesca Naretto, David Sánchez, Anna Monreale, Josep Domingo-Ferrer
Publicado en: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2024, Página(s) 1-9
Editor: IEEE
DOI: 10.1109/fuzz-ieee60900.2024.10611878

Investigating Debiasing Effects on Classification and Explainability

Autores: Marchiori Manerba Marta, Morini Virginia
Publicado en: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Editor: Springer, Cham
DOI: 10.1007/978-3-031-23618-1_32

Explaining Siamese Networks in Few-Shot Learning for Audio Data

Autores: Fedele Andrea, Guidotti Riccardo, Pedreschi Dino
Publicado en: Discovery Science 25th International Conference, DS 2022, Proceedings, 2022
Editor: Springer, Cham
DOI: 10.1007/978-3-031-18840-4_36

TRIPLEx: Triple Extraction for Explanation

Autores: Mattia Setzu, Anna Monreale, Pasquale Minervini
Publicado en: IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), 2021
Editor: IEEE
DOI: 10.1109/cogmi52975.2021.00015

Geolet: An Interpretable Model for Trajectory Classification

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

Privacy Risk of Global Explainers

Autores: Francesca Naretto, Anna Monreale, Fosca Giannotti
Publicado en: Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, 2022
Editor: IOS Press
DOI: 10.3233/faia220206

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

Autores: Guidotti Riccardo, Monreale Anna, Matwin Stan, Pedreschi Dino
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Editor: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v34i09.7116

Social Bias Probing: Fairness Benchmarking for Language Models

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

Explaining Any Time Series Classifier

Autores: Riccardo Guidotti, Anna Monreale, Francesco Spinnato, Dino Pedreschi, Fosca Giannotti
Publicado en: IEEE Second International Conference on Cognitive Machine Intelligence (CogMI), 2020, Página(s) 167-176
Editor: IEEE
DOI: 10.1109/cogmi50398.2020.00029

Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers

Autores: Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
Publicado en: Volume 354: HHAI2022: Augmenting Human Intellect, 2022
Editor: IOS Press
DOI: 10.3233/faia220209

Data-Agnostic Local Neighborhood Generation

Autores: Riccardo Guidotti, Anna Monreale
Publicado en: 2020 IEEE International Conference on Data Mining (ICDM), 2020, Página(s) 1040-1045, ISBN 978-1-7281-8316-9
Editor: IEEE
DOI: 10.1109/icdm50108.2020.00122

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

Autores: Eleonora Cappuccio, Daniele Fadda, Rosa Lanzilotti, Salvatore Rinzivillo
Publicado en: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter, 2023, Página(s) 1-4
Editor: ACM
DOI: 10.1145/3605390.3610811

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

Autores: Cecilia Panigutti, Andrea Beretta, Fosca Giannotti, Dino Pedreschi
Publicado en: CHI '22: CHI Conference on Human Factors in Computing Systems, 2022, ISBN 9781450391573
Editor: Association for Computing Machinery
DOI: 10.1145/3491102.3502104

Evaluating the Privacy Exposure of Interpretable Global Explainers

Autores: Naretto Francesca, Monreale Anna, Giannotti Fosca
Publicado en: IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI), 2022
Editor: IEEE
DOI: 10.1109/cogmi56440.2022.00012

FairShades: Fairness Auditing via Explainability in Abusive Language Detection Systems

Autores: Marchiori Manerba, Marta; Guidotti, Riccardo
Publicado en: 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), 2021
Editor: IEEE Computer Society
DOI: 10.1109/cogmi52975.2021.00014

Transparent Latent Space Counterfactual Explanations for Tabular Data

Autores: Bodria Francesco, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Publicado en: 2022
Editor: IEEE
DOI: 10.1109/dsaa54385.2022.10032407

Predicting and Explaining Privacy Risk Exposure in Mobility Data

Autores: Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi
Publicado en: Discovery Science Conference, 2020, Página(s) 403-418
Editor: Springer
DOI: 10.1007/978-3-030-61527-7_27

Enhancing Echo State Networks with Gradient-based Explainability Methods

Autores: Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu
Publicado en: ESANN 2024 proceesdings, 2024, Página(s) 17-22
Editor: Ciaco - i6doc.com
DOI: 10.14428/esann/2024.es2024-78

Explaining Crash Predictions on~Multivariate Time Series Data

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

Ensemble of Counterfactual Explainers

Autores: Guidotti, Riccardo; Ruggieri, Salvatore
Publicado en: Discovery Science: 24th International Conference, DS 2021, 2021
Editor: ACM
DOI: 10.1007/978-3-030-88942-5_28

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

Autores: Francesca Naretto, Roberto Pellungrini, Franco Maria Nardini, Fosca Giannotti
Publicado en: ECML PKDD 2020 Workshops, 2020
Editor: Springer, Cham
DOI: 10.1007/978-3-030-65965-3_34

AUC-based Selective Classification

Autores: Pugnana Andrea, Ruggieri Salvatore
Publicado en: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 2023
Editor: PMLR

Designing Shapelets for Interpretable Data-Agnostic Classification

Autores: Guidotti, Riccardo; Monreale, Anna
Publicado en: AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021
Editor: ACM
DOI: 10.1145/3461702.3462553

Interpretable Latent Space to Enable Counterfactual Explanations

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

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

Autores: Cecilia Panigutti,Alan Perotti,Dino Pedreschi
Publicado en: FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020, Página(s) 629–639
Editor: ACM
DOI: 10.1145/3351095.3372855

The ethical impact assessment of selling life insurance to titanic passengers

Autores: Gezici, Gizem; Mannari, Chiara; Orlandi, Lorenzo
Publicado en: HHAI-WS 2023 - Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence, pp. 35–50, Munich, Germany, 26-27/06/2023, Edición 20, 2023
Editor: CEUR-WS

Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars

Autores: Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri
Publicado en: Lecture Notes in Computer Science, 2020
Editor: Springer
DOI: 10.1007/978-3-030-61527-7_24

Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space

Autores: Simone Piaggesi, Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Publicado en: IEEE Access, Edición 12, 2024, Página(s) 168983-169000, ISSN 2169-3536
Editor: 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

Autores: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Publicado en: IEEE Access, Edición 12, 2024, Página(s) 137893-137912, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3464743

Topics in Selective Classification

Autores: Andrea Pugnana
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 37, 2023, Página(s) 16129-16130, ISSN 2374-3468
Editor: ACM
DOI: 10.1609/aaai.v37i13.26925

Inference through innovation processes tested in the authorship attribution task

Autores: Giulio Tani Raffaelli, Margherita Lalli, Francesca Tria
Publicado en: Communications Physics, Edición 7, 2024, ISSN 2399-3650
Editor: Nature Communications Physics
DOI: 10.1038/s42005-024-01714-6

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

Autores: Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
Publicado en: Artificial Intelligence, Edición 294, 2021, ISSN 0004-3702
Editor: Elsevier BV
DOI: 10.1016/j.artint.2021.103457

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

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

Explainable Authorship Identification in Cultural Heritage Applications

Autores: Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani
Publicado en: Journal on Computing and Cultural Heritage, Edición 17, 2024, Página(s) 1-23, ISSN 1556-4673
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3654675

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

Autores: Marzio Di Vece, Frank P. Pijpers, Diego Garlaschelli
Publicado en: Scientific Reports, Edición 14, 2024, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/s41598-024-53655-3

Understanding Any Time Series Classifier with a Subsequence-based Explainer

Autores: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni, Dino Pedreschi, Fosca Giannotti
Publicado en: ACM Transactions on Knowledge Discovery from Data, Edición 18, 2023, Página(s) 1-34, ISSN 1556-4681
Editor: 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

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

Evaluating local explanation methods on ground truth

Autores: Guidotti, Riccardo
Publicado en: Artificial Intelligence, 2020, ISSN 0004-3702
Editor: Elsevier BV
DOI: 10.1016/j.artint.2020.103428

Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification

Autores: Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
Publicado en: Diagnostics, Edición 14, 2024, Página(s) 753, ISSN 2075-4418
Editor: Diagnostics
DOI: 10.3390/diagnostics14070753

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals

Autores: Michele Resta, Anna Monreale, Davide Bacciu
Publicado en: Entropy, Edición 8, 2021, ISSN 1099-4300
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e23081064

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

Autores: 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
Publicado en: Information Fusion, Edición 106, 2024, Página(s) 102301, ISSN 1566-2535
Editor: Elsevier BV
DOI: 10.1016/j.inffus.2024.102301

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

Autores: Riccardo Guidotti
Publicado en: Data Mining and Knowledge Discovery, 2022, ISSN 1384-5810
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10618-022-00831-6

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

Autores: Metta, Carlo; Guidotti, Riccardo; Yin, Yuan; Gallinari, Patrick; Rinzivillo, Salvatore
Publicado en: 2021 IEEE Symposium on Computers and Communications (ISCC), 2021, ISSN 2642-7389
Editor: 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

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

FairLens: Auditing black-box clinical decision support systems

Autores: Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi
Publicado en: Information Processing & Management, Edición 58, 2021, ISSN 0306-4573
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.ipm.2021.102657

Factual and Counterfactual Explanations for Black Box Decision Making

Autores: Guidotti, R., Monreale, A., Giannotti, F., Pedreschi, D., Ruggieri, S., Turini, F.
Publicado en: IEEE Intelligent Systems, 2019, Página(s) 14 - 23, ISSN 1541-1672
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mis.2019.2957223

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

Autores: Carlo Metta, Andrea Beretta, Roberto Pellungrini, Salvatore Rinzivillo, Fosca Giannotti
Publicado en: Bioengineering, Edición 11, 2024, Página(s) 369, ISSN 2306-5354
Editor: Bioengineering
DOI: 10.3390/bioengineering11040369

Effects of Route Randomization on Urban Emissions

Autores: Giuliano Cornacchia, Mirco Nanni, Dino Pedreschi, Luca Pappalardo
Publicado en: SUMO Conference Proceedings, Edición 4, 2024, Página(s) 75-87, ISSN 2750-4425
Editor: TIB Open Publishing
DOI: 10.52825/scp.v4i.217

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

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

Benchmarking and survey of explanation methods for black box models

Autores: Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
Publicado en: Data Mining and Knowledge Discovery, Edición Volume 37 Edición 3, May 2023, 2023, ISSN 1384-5810
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10618-023-00933-9

Understanding peace through the world news

Autores: Voukelatou Vasiliki, Miliou Ioanna, Giannotti Fosca, Pappalardo Luca
Publicado en: EPJ Data Science, 2022, ISSN 2193-1127
Editor: Springer Science and Business Media LLC
DOI: 10.1140/epjds/s13688-022-00315-z

Generative Model for Decision Trees

Autores: Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 38, 2024, Página(s) 21116-21124, ISSN 2374-3468
Editor: AAAI Press
DOI: 10.1609/aaai.v38i19.30104

Explaining Black-Boxes in Federated Learning

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

A Frank System for Co-Evolutionary Hybrid Decision-Making

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

Causality-Aware Local Interpretable Model-Agnostic Explanations

Autores: Martina Cinquini, Riccardo Guidotti
Publicado en: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024, Página(s) 108-124
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63800-8_6

The Importance of Time in Causal Algorithmic Recourse

Autores: Isacco Beretta, Martina Cinquini
Publicado en: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2023, Página(s) 283-298
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44064-9_16

An Interactive Interface for Feature Space Navigation

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

Interpretable Data Partitioning Through Tree-Based Clustering Methods

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

Exploring Large Language Models Capabilities to Explain Decision Trees

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

Text to Time Series Representations: Towards Interpretable Predictive Models

Autores: Mattia Poggioli, Francesco Spinnato, Riccardo Guidotti
Publicado en: Lecture Notes in Computer Science, Discovery Science, 2024, Página(s) 230-245
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_16

Interpretable and Fair Mechanisms for Abstaining Classifiers

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

Deriving a Single Interpretable Model by Merging Tree-Based Classifiers

Autores: Valerio Bonsignori, Riccardo Guidotti, Anna Monreale
Publicado en: Discovery Science, 2021, ISSN 0302-9743
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-88942-5_27

EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories

Autores: Francesca Naretto, Roberto Pellungrini, Salvatore Rinzivillo, Daniele Fadda
Publicado en: Lecture Notes in Computer Science, Discovery Science, 2024, Página(s) 325-340
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_22

Principles of Explainable Artificial Intelligence

Autores: Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Fosca Giannotti
Publicado en: Explainable AI Within the Digital Transformation and Cyber Physical Systems, 2021, Página(s) 9-31, ISBN 978-3-030-76409-8
Editor: Springer, Cham
DOI: 10.1145/3461702.3462553

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

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

FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers

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

Declarative Reasoning on Explanations Using Constraint Logic Programming

Autores: Laura State, Salvatore Ruggieri, Franco Turini
Publicado en: Lecture Notes in Computer Science, Logics in Artificial Intelligence, 2023, Página(s) 132-141
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-43619-2_10

Semantic Enrichment of Explanations of AI Models for Healthcare

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

Reason to Explain: Interactive Contrastive Explanations (REASONX)

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

Data-Agnostic Pivotal Instances Selection for Decision-Making Models

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

DINE: Dimensional Interpretability of Node Embeddings

Autores: Simone Piaggesi, Megha Khosla, André Panisson, Avishek Anand
Publicado en: IEEE Transactions on Knowledge and Data Engineering, Edición 36, 2024, Página(s) 7986-7997, ISSN 1041-4347
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2024.3425460

Explaining Siamese networks in few-shot learning

Autores: Andrea Fedele, Riccardo Guidotti, Dino Pedreschi
Publicado en: Machine Learning, Edición 113, 2024, Página(s) 7723-7760, ISSN 0885-6125
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10994-024-06529-8

Mapping the landscape of ethical considerations in explainable AI research

Autores: Luca Nannini, Marta Marchiori Manerba, Isacco Beretta
Publicado en: Ethics and Information Technology, Edición 26, 2024, ISSN 1388-1957
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10676-024-09773-7

Drifting explanations in continual learning

Autores: Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
Publicado en: Neurocomputing, Edición 597, 2024, Página(s) 127960, ISSN 0925-2312
Editor: Elsevier BV
DOI: 10.1016/j.neucom.2024.127960

Opening the black box: a primer for anti-discrimination

Autores: Ruggieri Salvatore, Giannotti Fosca, Guidotti Riccardo, Monreale Anna, Pedreschi Dino, Turini Franco
Publicado en: ANNUARIO DI DIRITTO COMPARATO E DI STUDI LEGISLATIVI, 2021, ISSN 2039-9871
Editor: Esi - Edizioni scientifiche Italiane

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