Giulia Vilone

16 papers A 2Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks.
CoRR
Francesco Sovrano, Lidia Losavio, Giulia Vilone, Marc Langheinrich
2025 — conf
Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees.
xAI (5)
Giulia Vilone, Luca Longo
2025 A conf
Evaluating and Fine-Tuning Vision-Language Models for Industrial Manufacturing in Low-Data Regimes.
ECAI
Giorgio Manganini, Giulia Vilone, Mark Langtry, Prashanth Viswanath, Jim Gibbons, Paul Heraty
2024 A conf
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis.
ECAI
Francesco Sovrano, Michael Lognoul, Giulia Vilone
2024 J jnl
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis.
CoRR
Francesco Sovrano, Michael Lognoul, Giulia Vilone
2024 — conf
Model agnostic calibration of image classifiers.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Paolo Giudici, Giulia Vilone
2024 — conf
On the Explainability of Financial Robo-Advice Systems.
xAI (4)
Giulia Vilone, Francesco Sovrano, Michaël Lognoul
2023 — conf
An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Giulia Vilone, Luca Longo
2023 — conf
Development of a Human-Centred Psychometric Test for the Evaluation of Explanations Produced by XAI Methods.
xAI (3)
Giulia Vilone, Luca Longo
2022 — conf
A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence.
AIAI (1)
Giulia Vilone, Luca Longo
2022 — conf
An XAI method for the Automatic Formation of an Abstract Argumentation Framework from a Neural Network and its Objective Evaluation.
ArgXAI
Giulia Vilone, Luca Longo
2021 J jnl
A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods.
Frontiers Artif. Intell.
Giulia Vilone, Luca Longo
2021 J jnl
Classification of Explainable Artificial Intelligence Methods through Their Output Formats.
Mach. Learn. Knowl. Extr.
Giulia Vilone, Luca Longo
2021 J jnl
Notions of explainability and evaluation approaches for explainable artificial intelligence.
Inf. Fusion
Giulia Vilone, Luca Longo
2020 — conf
A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence.
AICS
Giulia Vilone, Lucas Rizzo, Luca Longo
2020 J jnl
Explainable Artificial Intelligence: a Systematic Review.
CoRR
Giulia Vilone, Luca Longo