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Giulia Vilone
Giulia Vilone
Technological University Dublin
Verified email at TUDublin.ie - Homepage
Title
Cited by
Cited by
Year
Notions of explainability and evaluation approaches for explainable artificial intelligence
G Vilone, L Longo
Information Fusion 76, 89-106, 2021
5272021
Explainable artificial intelligence: a systematic review
G Vilone, L Longo
arXiv preprint arXiv:2006.00093, 2020
4682020
Classification of Explainable Artificial Intelligence Methods through Their Output Formats
G Vilone, L Longo
Machine learning & knowledge extraction 3 (3), 615--661, 2021
1342021
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
312021
A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence
G Vilone, L Rizzo, L Longo
Technological University Dublin, 2020
212020
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
162022
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
162017
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
152020
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
122022
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
112014
Compiled European food consumption database
C O'Mahony, G Vilone
EFSA Supporting Publications 10 (4), 415E, 2013
62013
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
52023
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
42022
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
32020
On the explainability of financial robo-advice systems
G Vilone, F Sovrano, M Lognoul
World Conference on Explainable Artificial Intelligence, 219-242, 2024
12024
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
12023
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
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