Florian Tambon

Orcid: 0000-0001-5593-9400

According to our database1, Florian Tambon authored at least 10 papers between 2021 and 2024.

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Bibliography

2024
Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow.
Empir. Softw. Eng., February, 2024

Bug characterization in machine learning-based systems.
Empir. Softw. Eng., February, 2024

Bugs in Large Language Models Generated Code: An Empirical Study.
CoRR, 2024

Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends.
CoRR, 2024

2023
A probabilistic framework for mutation testing in deep neural networks.
Inf. Softw. Technol., 2023

GIST: Generated Inputs Sets Transferability in Deep Learning.
CoRR, 2023

Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study.
CoRR, 2023

Mutation Testing of Deep Reinforcement Learning Based on Real Faults.
Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

2022
How to certify machine learning based safety-critical systems? A systematic literature review.
Autom. Softw. Eng., 2022

2021
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks.
CoRR, 2021


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