Vincenzo Riccio | DeepAI

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∙ 05/14/2023

Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing

Simulation-based testing represents an important step to ensure the reli...

7 Matteo Biagiola, et al. ∙

∙ 12/21/2022

When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study

Testing Deep Learning (DL) based systems inherently requires large and r...

0 Vincenzo Riccio, et al. ∙

∙ 09/13/2022

Does Road Diversity Really Matter in Testing Automated Driving Systems? – A Registered Report

Background/Context. The use of automated driving systems (ADSs) in the r...

0 Stefan Klikovits, et al. ∙

∙ 09/15/2021

DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score

Deep Learning (DL) components are routinely integrated into software sys...

0 Vincenzo Riccio, et al. ∙

∙ 07/05/2021

DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search

Deep Learning (DL) has been successfully applied to a wide range of appl...

0 Tahereh Zohdinasab, et al. ∙

∙ 07/06/2020

Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing

With the increasing adoption of Deep Learning (DL) for critical tasks, s...

0 Vincenzo Riccio, et al. ∙

∙ 10/24/2019

Taxonomy of Real Faults in Deep Learning Systems

The growing application of deep neural networks in safety-critical domai...

0 Gunel Jahangirova, et al. ∙

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