Documents publiés en "2024"
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Mahu, A.-M., Singh, A., Tambon, F., Ouellette, B., Delisle, J.-F., Paul, T., Khomh, F., Marois, A., & Doyon-Poulin, P. (juin 2024). Validation of vigilance decline capability in a simulated test environment: a preliminary step towards neuroadaptive control [Communication écrite]. 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024), Nice, France. Disponible
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Tambon, F. (2024). Who Tests the Testers? Assessing the Effectiveness and Trustworthiness of Deep Learning Model Testing Techniques [Thèse de doctorat, Polytechnique Montréal]. Disponible
Tambon, F. (2024). GIST: Generated Inputs Sets Transferability in Deep Learning (Part 2) [Ensemble de données]. Lien externe
Tambon, F., Khomh, F., & Antoniol, G. (2024). GIST : Generated Inputs Sets Transferability in Deep Learning. ACM Transactions on Software Engineering and Methodology, 33(8), 214 (38 pages). Lien externe
Taraghi, M., Dorcelus, G., Foundjem, A. T., Tambon, F., & Khomh, F. (mars 2024). Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends [Communication écrite]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. Lien externe