Science and technology for the explanation of AI decision making

Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space

Autori: Simone Piaggesi, Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Pubblicato in: IEEE Access, Numero 12, 2024, Pagina/e 168983-169000, ISSN 2169-3536
Editore: 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

Autori: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Pubblicato in: IEEE Access, Numero 12, 2024, Pagina/e 137893-137912, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2024.3464743

Topics in Selective Classification

Autori: Andrea Pugnana
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 37, 2023, Pagina/e 16129-16130, ISSN 2374-3468
Editore: ACM
DOI: 10.1609/aaai.v37i13.26925

Inference through innovation processes tested in the authorship attribution task

Autori: Giulio Tani Raffaelli, Margherita Lalli, Francesca Tria
Pubblicato in: Communications Physics, Numero 7, 2024, ISSN 2399-3650
Editore: Nature Communications Physics
DOI: 10.1038/s42005-024-01714-6

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

Autori: Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
Pubblicato in: Artificial Intelligence, Numero 294, 2021, ISSN 0004-3702
Editore: Elsevier BV
DOI: 10.1016/j.artint.2021.103457

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

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

Explainable Authorship Identification in Cultural Heritage Applications

Autori: Mattia Setzu, Silvia Corbara, Anna Monreale, Alejandro Moreo, Fabrizio Sebastiani
Pubblicato in: Journal on Computing and Cultural Heritage, Numero 17, 2024, Pagina/e 1-23, ISSN 1556-4673
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3654675

Deterministic, quenched, and annealed parameter estimation for heterogeneous network models

Autori: Marzio Di Vece, Diego Garlaschelli, Tiziano Squartini
Pubblicato in: Physical Review E, Numero 108, 2023, Pagina/e 054301, ISSN 2470-0045
Editore: American Physical Society (APS)
DOI: 10.1103/physreve.108.054301

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

Autori: Marzio Di Vece, Frank P. Pijpers, Diego Garlaschelli
Pubblicato in: Scientific Reports, Numero 14, 2024, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-024-53655-3

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

Autori: Himanshi Allahabadi, Julia Amann, Isabelle Balot, Andrea Beretta, Charles Binkley, Jonas Bozenhard, Frederick Bruneault, James Brusseau, Sema Candemir, Luca Alessandro Cappellini, Subrata Chakraborty, Nicoleta Cherciu, Christina Cociancig, Megan Coffee, Irene Ek, Leonardo Espinosa-Leal, Davide Farina, Genevieve Fieux-Castagnet, Thomas Frauenfelder, Alessio Gallucci, Guya Giuliani, Adam Golda, Irmh
Pubblicato in: IEEE Transactions on Technology and Society, Numero 3, 2023, Pagina/e 272-289, ISSN 2637-6415
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/tts.2022.3195114

Matrix Profile-Based Interpretable Time Series Classifier

Autori: Riccardo Guidotti, Matteo D’Onofrio
Pubblicato in: Frontiers in Artificial Intelligence, Numero 4, 2021, ISSN 2624-8212
Editore: Frontiers Media SA
DOI: 10.3389/frai.2021.699448

Understanding Any Time Series Classifier with a Subsequence-based Explainer

Autori: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni, Dino Pedreschi, Fosca Giannotti
Pubblicato in: ACM Transactions on Knowledge Discovery from Data, Numero 18, 2023, Pagina/e 1-34, ISSN 1556-4681
Editore: 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

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

A Practical Approach to Causal Inference over Time

Autori: Martina Cinquini, Isacco Beretta, Salvatore Ruggieri, Isabel Valera
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 39, 2025, Pagina/e 14832-14839, ISSN 2374-3468
Editore: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v39i14.33626

SafeGen: safeguarding privacy and fairness through a genetic method

Autori: Martina Cinquini, Marta Marchiori Manerba, Federico Mazzoni, Francesca Pratesi, Riccardo Guidotti
Pubblicato in: Machine Learning, Numero 114, 2025, Pagina/e 227, ISSN 0885-6125
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10994-025-06835-9

Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification

Autori: Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
Pubblicato in: Diagnostics, Numero 14, 2024, Pagina/e 753, ISSN 2075-4418
Editore: Diagnostics
DOI: 10.3390/diagnostics14070753

Occlusion-Based Explanations in Deep Recurrent Models for Biomedical Signals

Autori: Michele Resta, Anna Monreale, Davide Bacciu
Pubblicato in: Entropy, Numero 8, 2021, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e23081064

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

Autori: 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
Pubblicato in: Information Fusion, Numero 106, 2024, Pagina/e 102301, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2024.102301

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

Autori: Riccardo Guidotti
Pubblicato in: Data Mining and Knowledge Discovery, 2022, ISSN 1384-5810
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10618-022-00831-6

Evaluating the Privacy Exposure of Interpretable Global and Local Explainers

Autori: Francesca Naretto, Anna Monreale, Fosca Giannotti
Pubblicato in: Evaluating the Privacy Exposure of Interpretable Global and Local Explainers, Numero 18(2), 2025, Pagina/e 67–93, ISSN 1888-5063
Editore: Institut d'Investigacio en Intel-ligencia Artificial - Consejo Superior Investigaciones Cientificas (IIIA-CSIC)

The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR

Autori: Laura State, Alejandra Bringas Colmenarejo, Andrea Beretta, Salvatore Ruggieri, Franco Turini, Stephanie Law
Pubblicato in: Artificial Intelligence and Law, 2025, ISSN 0924-8463
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10506-024-09430-w

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

Autori: Giulia Peduzzi, Alessio Felici, Roberto Pellungrini, Francesca Giorgolo, Riccardo Farinella, Manuel Gentiluomo, Andrea Spinelli, Gabriele Capurso, Anna Monreale, Federico Canzian, Marco Calderisi, Daniele Campa
Pubblicato in: Digestive and Liver Disease, Numero 56, 2024, Pagina/e 1054-1063, ISSN 1590-8658
Editore: W. B. Saunders Co., Ltd.
DOI: 10.1016/j.dld.2023.10.015

FairLens: Auditing black-box clinical decision support systems

Autori: Cecilia Panigutti, Alan Perotti, André Panisson, Paolo Bajardi, Dino Pedreschi
Pubblicato in: Information Processing & Management, Numero 58, 2021, ISSN 0306-4573
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.ipm.2021.102657

The ALTAI checklist as a tool to assess ethical and legal implications for a trustworthy AI development in education

Autori: Andrea Fedele, Clara Punzi, Stefano Tramacere
Pubblicato in: Computer Law & Security Review, Numero 53, 2025, Pagina/e 105986, ISSN 2212-473X
Editore: Elsevier BV
DOI: 10.1016/j.clsr.2024.105986

Factual and Counterfactual Explanations for Black Box Decision Making

Autori: Guidotti, R., Monreale, A., Giannotti, F., Pedreschi, D., Ruggieri, S., Turini, F.
Pubblicato in: IEEE Intelligent Systems, 2019, Pagina/e 14 - 23, ISSN 1541-1672
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mis.2019.2957223

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

Autori: Carlo Metta, Andrea Beretta, Roberto Pellungrini, Salvatore Rinzivillo, Fosca Giannotti
Pubblicato in: Bioengineering, Numero 11, 2024, Pagina/e 369, ISSN 2306-5354
Editore: Bioengineering
DOI: 10.3390/bioengineering11040369

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges

Autori: Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo, Fosca Giannotti
Pubblicato in: ACM Computing Surveys, Numero 56, 2025, Pagina/e 1-37, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3618105

Explaining short text classification with diverse synthetic exemplars and counter-exemplars

Autori: Orestis Lampridis, Laura State, Riccardo Guidotti, Salvatore Ruggieri
Pubblicato in: Machine Learning, Numero 112, 2023, Pagina/e 4289-4322, ISSN 0885-6125
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10994-022-06150-7

Effects of Route Randomization on Urban Emissions

Autori: Giuliano Cornacchia, Mirco Nanni, Dino Pedreschi, Luca Pappalardo
Pubblicato in: SUMO Conference Proceedings, Numero 4, 2024, Pagina/e 75-87, ISSN 2750-4425
Editore: TIB Open Publishing
DOI: 10.52825/scp.v4i.217

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

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

Human-AI coevolution

Autori: Dino Pedreschi, Luca Pappalardo, Emanuele Ferragina, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, Alistair Knott, Yannis Ioannidis, Paul Lukowicz, Andrea Passarella, Alex Sandy Pentland, John Shawe-Taylor, Alessandro Vespignani
Pubblicato in: Artificial Intelligence, Numero 339, 2025, Pagina/e 104244, ISSN 0004-3702
Editore: Elsevier BV
DOI: 10.1016/j.artint.2024.104244

Stable and actionable explanations of black-box models through factual and counterfactual rules

Autori: Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Francesca Naretto, Franco Turini, Dino Pedreschi, Fosca Giannotti
Pubblicato in: Data Mining and Knowledge Discovery, Numero 38, 2024, Pagina/e 2825-2862, ISSN 1384-5810
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10618-022-00878-5

Benchmarking and survey of explanation methods for black box models

Autori: Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
Pubblicato in: Data Mining and Knowledge Discovery, Numero Volume 37 Numero 3, May 2023, 2023, ISSN 1384-5810
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10618-023-00933-9

Understanding peace through the world news

Autori: Voukelatou Vasiliki, Miliou Ioanna, Giannotti Fosca, Pappalardo Luca
Pubblicato in: EPJ Data Science, 2022, ISSN 2193-1127
Editore: Springer Science and Business Media LLC
DOI: 10.1140/epjds/s13688-022-00315-z

Generative Model for Decision Trees

Autori: Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 38, 2024, Pagina/e 21116-21124, ISSN 2374-3468
Editore: AAAI Press
DOI: 10.1609/aaai.v38i19.30104

Privacy Risk of Global Explainers

Autori: Francesca Naretto, Anna Monreale, Fosca Giannotti
Pubblicato in: Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, 2022
Editore: IOS Press
DOI: 10.3233/faia220206

Social Bias Probing: Fairness Benchmarking for Language Models

Autori: Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein
Pubblicato in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024, Pagina/e 14653-14671
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.emnlp-main.812

FairBelief - Assessing Harmful Beliefs in Language Models

Autori: Mattia Setzu, Marta Marchiori Manerba, Pasquale Minervini, Debora Nozza
Pubblicato in: Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024), 2024, Pagina/e 27-39
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.trustnlp-1.3

Data-Agnostic Local Neighborhood Generation

Autori: Riccardo Guidotti, Anna Monreale
Pubblicato in: 2020 IEEE International Conference on Data Mining (ICDM), 2020, Pagina/e 1040-1045, ISBN 978-1-7281-8316-9
Editore: IEEE
DOI: 10.1109/icdm50108.2020.00122

User-driven counterfactual generator: a human centered exploration

Autori: Beretta I; Cappuccio E; Marchiori Manerba M
Pubblicato in: xAI-2023 - 1st World Conference on eXplainable Artificial, pp. 83–88, Lisbon, Portugal, 26-28/07/2023, Numero 1, 2023, Pagina/e 83-88, ISSN 1613-0073
Editore: CEUR (CEUR Workshop Proceedings)

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

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

XAI in healthcare

Autori: Gezici G.; Metta C; Beretta A.; Pellungrini R.; Rinzivillo S.; Pedreschi D.; Giannotti F.
Pubblicato in: xAI 2024 - 2nd World Conference on eXplainable Artificial Intelligence, Numero 1, 2024
Editore: CEUR-WS

Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems

Autori: Benedetta Muscato, Lucia Passaro, Gizem Gezici, Fosca Giannotti
Pubblicato in: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025, Pagina/e 9827-9835
Editore: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2025/1092

Multi-Perspective Stance Detection

Autori: Benedetta Muscato, Praveen Bushipaka, Gizem Gezici, Lucia Passaro, Fosca Giannotti
Pubblicato in: 2024
Editore: CEUR

Explaining Black Box with Visual Exploration of Latent Space

Autori: Bodria, Francesco; Rinzivillo, Salvatore; Fadda, Daniele; Guidotti, Riccardo; Giannotti, Fosca; Pedreschi, Dino
Pubblicato in: Numero 10, 2022
Editore: The Eurographics Association
DOI: 10.2312/evs.20221098

Requirements of eXplainable AI in Algorithmic Hiring

Autori: Andrea Beretta, Gianmario Ercoli, Alfonso Ferraro, Riccardo Guidotti, Andrea Iommi, Antonio Mastropietro, Anna Monreale, Daniela Rotelli, Salvatore Ruggieri
Pubblicato in: AIMMES 2024: AI bias – Measurements, Mitigation, Explanation Strategies (CEUR Workshop Proceedings, Vol. 3744), Numero CEUR Workshop Proceedings, Volume 3744, 2024, Pagina/e 75–86
Editore: CEUR-WS.org

Categorical Explaining Functors: Ensuring Coherence in Logical Explanations

Autori: Stefano Fioravanti, Francesco Giannini, Pietro Barbiero, Paolo Frazzetto, Roberto Confalonieri, Fabio Zanasi, Nicolò Navarin
Pubblicato in: Proceedings of the TwentySecond International Conference on Principles of Knowledge Representation and Reasoning, Numero 22nd International Conference (KR2025), 2025, Pagina/e 306-315, ISBN 978-1-956792-08-9
Editore: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/kr.2025/30

Beyond Headlines: A Corpus of Femicides News Coverage in Italian Newspapers

Autori: Eleonora Cappuccio, Benedetta Muscato, Laura Pollacci, Marta Marchiori Manerba, Clara Punzi, Chandana Mala, Margherita Lalli, Gizem Gezici, Michela Natilli, Fosca Giannotti
Pubblicato in: Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), Numero 2024.clicit-1.21, 2024, Pagina/e 171–181
Editore: CEUR Workshop Proceedings

Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation.

Autori: Andrea Rafanelli; Stefania Costantini; Andrea Omicini
Pubblicato in: Numero 1, 2022
Editore: CEUR-WS

An Overview of Recent Approaches to Enable Diversity in Large Language Models through Aligning with Human Perspectives

Autori: Muscato, Benedetta; Mala, Chandana Sree; Manerba M. M.; Gezici, Gizem; Giannotti, Fosca
Pubblicato in: CEUR Workshop Proceedings, Numero 3, 2024
Editore: CEUR Workshop Proceedings

AUC-based Selective Classification

Autori: Pugnana Andrea, Ruggieri Salvatore
Pubblicato in: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 2023
Editore: PMLR

Explain and interpret few-shot learning

Autori: Fedele A.
Pubblicato in: xAI-2023 - 1st World Conference on eXplainable Artificial, pp. 233–240, Lisbon, Portugal, 26-28/06/2023, Numero Vol. 3554, 2023, Pagina/e 233–240
Editore: CEUR-WS (CEUR Workshop Proceedings)

Explanations Go Linear: Interpretable and Individual Latent Encoding for Post-hoc Explainability

Autori: Simone Piaggesi, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Pubblicato in: 2025
Editore: IEEE

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

Autori: Cecilia Panigutti,Alan Perotti,Dino Pedreschi
Pubblicato in: FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020, Pagina/e 629–639
Editore: ACM
DOI: 10.1145/3351095.3372855

The ethical impact assessment of selling life insurance to titanic passengers

Autori: Gezici, Gizem; Mannari, Chiara; Orlandi, Lorenzo
Pubblicato in: HHAI-WS 2023 - Workshops at the Second International Conference on Hybrid Human-Artificial Intelligence, pp. 35–50, Munich, Germany, 26-27/06/2023, Numero 20, 2023
Editore: CEUR-WS

An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items

Autori: Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato, Anna Monreale, Riccardo Guidotti
Pubblicato in: Frontiers in Artificial Intelligence and Applications, ECAI 2025, 2025
Editore: IOS Press
DOI: 10.3233/faia250912

Interpretable Instance-Based Learning Through Pairwise Distance Trees

Autori: Andrea Fedele, Alessio Cascione, Riccardo Guidotti, Cristiano Landi
Pubblicato in: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, Numero 15126, 2025, Pagina/e 3-21, ISBN 978-3-032-06078-5
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-06078-5_1

Embracing Diversity: A Multi-Perspective Approach with Soft Labels

Autori: Benedetta Muscato, Praveen Bushipaka, Gizem Gezici, Lucia Passaro, Fosca Giannotti, Tommaso Cucinotta
Pubblicato in: Frontiers in Artificial Intelligence and Applications, HHAI 2025, Numero Volume 408 (FAIA), 2025, ISBN 978-1-64368-611-0
Editore: IOS Press
DOI: 10.3233/faia250654

Towards Building a Trustworthy RAG-Based Chatbot for the Italian Public Administration

Autori: Chandana Sree Mala, Christian di Maio, Mattia Proietti, Gizem Gezici, Fosca Giannotti, Stefano Melacci, Alessandro Lenci, Marco Gori
Pubblicato in: Frontiers in Artificial Intelligence and Applications, HHAI 2025, Numero Volume 408 (FAIA), 2025, ISBN 978-1-64368-611-0
Editore: IOS Press
DOI: 10.3233/faia250637

Group Explainability Through Local Approximation

Autori: Mattia Setzu, Riccardo Guidotti, Dino Pedreschi, Fosca Giannotti
Pubblicato in: Frontiers in Artificial Intelligence and Applications, ECAI 2025, 2025
Editore: IOS Press
DOI: 10.3233/faia250902

An Interactive Interface for Feature Space Navigation

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

Balancing Fairness and Interpretability in Clustering with FairParTree

Autori: Cristiano Landi, Alessio Cascione, Marta Marchiori Manerba, Riccardo Guidotti
Pubblicato in: Communications in Computer and Information Science, Explainable Artificial Intelligence, Numero 2185, 2025, Pagina/e 104-127, ISBN 978-3-032-08324-1
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-08324-1_5

Exploring Large Language Models Capabilities to Explain Decision Trees

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

EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories

Autori: Francesca Naretto, Roberto Pellungrini, Salvatore Rinzivillo, Daniele Fadda
Pubblicato in: Lecture Notes in Computer Science, Discovery Science, 2024, Pagina/e 325-340
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-45275-8_22

Unsupervised and Interpretable Detection of User Personalities in Online Social Networks

Autori: Alessio Cascione, Laura Pollacci, Riccardo Guidotti
Pubblicato in: Communications in Computer and Information Science, Explainable Artificial Intelligence, Numero 2186, 2025, Pagina/e 162-179, ISBN 978-3-032-08327-2
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-08327-2_8

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

Autori: Clara Punzi, Aleksandra Maslennikova, Gizem Gezici, Roberto Pellungrini, Fosca Giannotti
Pubblicato in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024, Pagina/e 621-635
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44067-0_31

MASCOTS: Model-Agnostic Symbolic COunterfactual Explanations for Time Series

Autori: Dawid Płudowski, Francesco Spinnato, Piotr Wilczyński, Krzysztof Kotowski, Evridiki Vasileia Ntagiou, Riccardo Guidotti, Przemysław Biecek
Pubblicato in: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, Numero 15126, 2025, Pagina/e 94-112, ISBN 978-3-032-06078-5
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-06078-5_6

Mathematical Foundation of Interpretable Equivariant Surrogate Models

Autori: Jacopo Joy Colombini, Filippo Bonchi, Francesco Giannini, Fosca Giannotti, Roberto Pellungrini, Patrizio Frosini
Pubblicato in: Communications in Computer and Information Science, Explainable Artificial Intelligence, Numero 2185, 2025, Pagina/e 294-318, ISBN 978-3-032-08324-1
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-08324-1_13

DINE: Dimensional Interpretability of Node Embeddings

Autori: Simone Piaggesi, Megha Khosla, André Panisson, Avishek Anand
Pubblicato in: IEEE Transactions on Knowledge and Data Engineering, Numero 36, 2024, Pagina/e 7986-7997, ISSN 1041-4347
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2024.3425460

Explaining Siamese networks in few-shot learning

Autori: Andrea Fedele, Riccardo Guidotti, Dino Pedreschi
Pubblicato in: Machine Learning, Numero 113, 2024, Pagina/e 7723-7760, ISSN 0885-6125
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10994-024-06529-8

Mapping the landscape of ethical considerations in explainable AI research

Autori: Luca Nannini, Marta Marchiori Manerba, Isacco Beretta
Pubblicato in: Ethics and Information Technology, Numero 26, 2024, ISSN 1388-1957
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10676-024-09773-7

Drifting explanations in continual learning

Autori: Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
Pubblicato in: Neurocomputing, Numero 597, 2024, Pagina/e 127960, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2024.127960

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