Giulia Vilone

According to our database, Giulia Vilone authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On the Explainability of Financial Robo-Advice Systems.

Giulia Vilone, Francesco Sovrano, Michaël Lognoul

Proceedings of the Explainable Artificial Intelligence, 2024

Model agnostic calibration of image classifiers.

Paolo Giudici, Giulia Vilone

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis.

Francesco Sovrano, Michael Lognoul, Giulia Vilone

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks.

Giulia Vilone, Luca Longo

Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods.

Giulia Vilone, Luca Longo

Proceedings of the Explainable Artificial Intelligence, 2023

2022

A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence.

Giulia Vilone, Luca Longo

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

An XAI method for the Automatic Formation of an Abstract Argumentation Framework from a Neural Network and its Objective Evaluation.

Giulia Vilone, Luca Longo

Proceedings of the 1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), 2022

2021

Classification of Explainable Artificial Intelligence Methods through Their Output Formats.

Giulia Vilone, Luca Longo

Mach. Learn. Knowl. Extr., 2021

Notions of explainability and evaluation approaches for explainable artificial intelligence.

Giulia Vilone, Luca Longo

Inf. Fusion, 2021

A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods.

Giulia Vilone, Luca Longo

Frontiers Artif. Intell., 2021

2020

Explainable Artificial Intelligence: a Systematic Review.

Giulia Vilone, Luca Longo

CoRR, 2020

A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence.

Giulia Vilone, Lucas Rizzo, Luca Longo

Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020