| CAE: Contextual auto-encoder for multivariate time-series anomaly detection in air transportation A Chevrot, A Vernotte, B Legeard Computers & Security 116, 102652, 2022 | 30 | 2022 |
| Test data generation for false data injection attack testing in air traffic surveillance A Cretin, A Vernotte, A Chevrot, F Peureux, B Legeard 2020 IEEE International Conference on Software Testing, Verification and …, 2020 | 13 | 2020 |
| Improved testing of AI-based anomaly detection systems using synthetic surveillance data A Chevrot, A Vernotte, P Bernabe, A Cretin, F Peureux, B Legeard Proceedings 59 (1), 9, 2020 | 3 | 2020 |
| Uncertainty Assessment of Fuel Consumption Based on Open Data A Chevrot, L Basora Journal of Open Aviation Science, 2023 | | 2023 |
| impunity: Enforcing Physical Unit Consistency at Definition Time in Python A Chevrot, X Olive Journal of Open Aviation Science 1 (1), 2023 | | 2023 |
| Acknowledgment to the Reviewers of Aerospace in 2022 Aerospace Editorial Office Aerospace 10 (2), 91, 2023 | | 2023 |
| Bringing Explainability to Autoencoding Neural Networks Encoding Aircraft Trajectories Z Ezzahed, A Chevrot, C Hurter, X Olive | | 2023 |
| Detection of contextual anomalies in air traffic data using neural network models A Chevrot Université Bourgogne Franche-Comté, 2022 | | 2022 |
Alexandre VernottePostdoctoral Researcher, Femto-ST Institute, Besançon, France在 femto-st.fr 的电子邮件经过验证
