E-LIB Suche - Ergebnisse für: Tambon, Florian

1

Deep Learning Model Reuse in the HuggingFace Community: Cha..:

, In: 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER),

Taraghi, Mina ; Dorcelus, Gianolli ; Foundjem, Armstrong.. - p. 512-523 , 2024

Link: https://doi.org/10.1109/..

2

GIST: Generated Inputs Sets Transferability in Deep Learnin:

Tambon, Florian ; Khomh, Foutse ; Antoniol, Giuliano
ACM Transactions on Software Engineering and Methodology. , 2024

Link: https://doi.org/10.1145/..

3

Chain of Targeted Verification Questions to Improve the Rel..:

, In: Proceedings of the 1st ACM International Conference on AI-Powered Software,

Kouemo Ngassom, Sylvain ; Moradi Dakhel, Arghavan ; Tambon, Florian. - p. 122-130 , 2024

Link: https://dl.acm.org/doi/1..

4

Common challenges of deep reinforcement learning applicatio..:

Morovati, Mohammad Mehdi ; Tambon, Florian ; Taraghi, Mina..
Empirical Software Engineering. 29 (2024) 4 - p. , 2024

Link: https://doi.org/10.1007/..

5

Bug characterization in machine learning-based systems:

Morovati, Mohammad Mehdi ; Nikanjam, Amin ; Tambon, Florian..
Empirical Software Engineering. 29 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

6

A probabilistic framework for mutation testing in deep neur..:

Tambon, Florian ; Khomh, Foutse ; Antoniol, Giuliano
Information and Software Technology. 155 (2023) - p. 107129 , 2023

Link: https://doi.org/10.1016/..

7

Silent bugs in deep learning frameworks: an empirical study..:

Tambon, Florian ; Nikanjam, Amin ; An, Le..
Empirical Software Engineering. 29 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

8

Mutation Testing of Deep Reinforcement Learning Based on Re..:

, In: 2023 IEEE Conference on Software Testing, Verification and Validation (ICST),

Tambon, Florian ; Majdinasab, Vahid ; Nikanjam, Amin.. - p. 188-198 , 2023

Link: https://doi.org/10.1109/..

9

How to certify machine learning based safety-critical syste..:

Tambon, Florian ; Laberge, Gabriel ; An, Le...
Automated Software Engineering. 29 (2022) 2 - p. , 2022

Link: https://doi.org/10.1007/..

10

Deep Learning Model Reuse in the HuggingFace Community: Cha..:

Taraghi, Mina ; Dorcelus, Gianolli ; Foundjem, Armstrong..
http://arxiv.org/abs/2401.13177. , 2024

Link: http://arxiv.org/abs/240..

11

Common Challenges of Deep Reinforcement Learning Applicatio..:

Morovati, Mohammad Mehdi ; Tambon, Florian ; Taraghi, Mina..
http://arxiv.org/abs/2310.09575. , 2023

Link: http://arxiv.org/abs/231..

12

Common Challenges of Deep Reinforcement Learning Applicatio..:

Morovati, Mohammad Mehdi ; Tambon, Florian ; Taraghi, Mina..
info:eu-repo/semantics/altIdentifier/doi/10.48550/arXiv.2310.09575. , 2023

Link: https://hal.science/hal-..

13

GIST: Generated Inputs Sets Transferability in Deep Learnin:

Tambon, Florian ; Khomh, Foutse ; Antoniol, Giuliano
http://arxiv.org/abs/2311.00801. , 2023

Link: http://arxiv.org/abs/231..

14

Mutation Testing of Deep Reinforcement Learning Based on Re..:

Tambon, Florian ; Majdinasab, Vahid ; Nikanjam, Amin..
http://arxiv.org/abs/2301.05651. , 2023

Link: http://arxiv.org/abs/230..

15

Bug Characterization in Machine Learning-based Systems:

Morovati, Mohammad Mehdi ; Nikanjam, Amin ; Tambon, Florian...
http://arxiv.org/abs/2307.14512. , 2023

Link: http://arxiv.org/abs/230..