Dounia Lakhmiri, Ryan Alimo and Sébastien Le Digabel
Article (2022)
An external link is available for this item| Department: | Department of Mathematics and Industrial Engineering |
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| Research Center: | GERAD - Research Group in Decision Analysis |
| PolyPublie URL: | https://publications.polymtl.ca/50900/ |
| Journal Title: | Expert Systems With Applications (vol. 189) |
| Publisher: | Elsevier |
| DOI: | 10.1016/j.eswa.2021.116060 |
| Official URL: | https://doi.org/10.1016/j.eswa.2021.116060 |
| Date Deposited: | 18 Apr 2023 14:58 |
| Last Modified: | 08 Apr 2025 07:18 |
| Cite in APA 7: | Lakhmiri, D., Alimo, R., & Le Digabel, S. (2022). Anomaly detection for data accountability of Mars telemetry data. Expert Systems With Applications, 189, 116060. https://doi.org/10.1016/j.eswa.2021.116060 |
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