Notions of explainability and evaluation approaches for explainable artificial intelligence G Vilone, L Longo Information Fusion 76, 89-106, 2021 | 527 | 2021 |
Explainable artificial intelligence: a systematic review G Vilone, L Longo arXiv preprint arXiv:2006.00093, 2020 | 468 | 2020 |
Classification of Explainable Artificial Intelligence Methods through Their Output Formats G Vilone, L Longo Machine learning & knowledge extraction 3 (3), 615--661, 2021 | 134 | 2021 |
A quantitative evaluation of global, rule-based explanations of post-hoc, model agnostic methods G Vilone, L Longo Frontiers in artificial intelligence 4, 717899, 2021 | 31 | 2021 |
A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence G Vilone, L Rizzo, L Longo Technological University Dublin, 2020 | 21 | 2020 |
A novel human-centred evaluation approach and an argument-based method for explainable artificial intelligence G Vilone, L Longo IFIP International Conference on Artificial Intelligence Applications and …, 2022 | 16 | 2022 |
Critical and systematic evaluation of data for estimating human exposures to 2, 4-dichlorophenoxyacetic acid (2, 4-D)–quality and generalizability JS LaKind, CJ Burns, DQ Naiman, C O’Mahony, G Vilone, AJ Burns, ... Journal of Toxicology and Environmental Health, Part B 20 (8), 423-446, 2017 | 16 | 2017 |
Exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data L Aylward, G Vilone, C Cowan-Ellsberry, JA Arnot, JN Westgate, ... Journal of Exposure Science & Environmental Epidemiology 30 (1), 28-41, 2020 | 15 | 2020 |
Impact of AI technologies on organisational learning: proposing an organisation cognition schema PM Nimmi, G Vilone, VP Jagathyraj Development and Learning in Organizations: An International Journal 36 (5), 7-9, 2022 | 12 | 2022 |
Statistical method to assess usual dietary intakes in the European population G Vilone, D Comiskey, F Heraud, C O’Mahony Food Additives & Contaminants: Part A 31 (10), 1639-1651, 2014 | 11 | 2014 |
Compiled European food consumption database C O'Mahony, G Vilone EFSA Supporting Publications 10 (4), 415E, 2013 | 6 | 2013 |
Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods G Vilone, L Longo World Conference on Explainable Artificial Intelligence, 205-232, 2023 | 5 | 2023 |
A global model-agnostic XAI method for the automatic formation of an abstract argumentation framework and its objective evaluation G Vilone, L Longo 1st International Workshop on Argumentation for eXplainable AI Co-located …, 2022 | 4 | 2022 |
Probabilistic modelling of exposure to pesticide residues in foods and tobacco LM Gedge, I Hawryluk, MG Skelly, G Vilone International Journal of Environment, Agriculture and Biotechnology 5 (2), 2020 | 3 | 2020 |
On the explainability of financial robo-advice systems G Vilone, F Sovrano, M Lognoul World Conference on Explainable Artificial Intelligence, 219-242, 2024 | 1 | 2024 |
An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks. G Vilone, L Longo xAI (Late-breaking Work, Demos, Doctoral Consortium), 53-58, 2023 | 1 | 2023 |
Refinement of flavour substance intake estimates using probability of addition: A proposed method based on sales data G Vilone, C Hickey, N Slickers, J O'Brien, B Smith Flavour and Fragrance Journal 39 (4), 236-243, 2024 | | 2024 |
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis F Sovrano, M Lognoul, G Vilone ECAI 2024, 826-833, 2024 | | 2024 |
A Fully Automated Global Post-hoc Method Based on Abstract Argumentation for Explainable Artificial Intelligence and its Application on Fully Connected Dense Deep Neural Networks G Vilone Technological University Dublin, 2024 | | 2024 |
Model agnostic calibration of image classifiers P Giudici, G Vilone | | 2022 |