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Xavier Olive
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Documents
Researcher identifiers
xavier-olive
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0000-0002-2335-5774
- IdRef : 136939376
- Google Scholar : mUHbacsAAAAJ
Presentation
Xavier Olive, PhD, is a research scientist passionate about aviation, maps and data. His research interests include Data Science, Machine Learning and Decision Science applied to aviation, with a particular focus on optimisation, anomaly and pattern detection. Applications range from air traffic management, operations, predictive maintenance, safety analyses and risk assessment.
He is currently a Research Fellow with [ONERA, The French Aerospace Lab](https://www.onera.fr/en/staff/xavier-olive). You may find more details on <https://www.xoolive.org>.
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Quantitative air risk assessment for a drone inspection mission along fast train linesAir Traffic Management Research and Development Seminar (ATM) 2023, Jun 2023, SAVANNAH, United States
Conference papers
hal-04131557v1
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A Quantitative Approach to Air Traffic Safety at Very Low LevelsOpenSky 2022, Nov 2022, Delft, Netherlands. pp.1, ⟨10.3390/engproc2022028001⟩
Conference papers
hal-03920417v1
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Evaluating Aviation Emission Inefficiencies and Reduction Challenges with Electric Flights Based on an analysis of flights from 2019 in the Dutch and French airspacesSESAR Innovation Days, Dec 2022, Budapest, Hungary
Conference papers
hal-03907359v1
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Evading the Public Eye: On Astroturfing in Open Aviation DataOpenSky 2022, Nov 2022, Delft, Netherlands. pp.7, ⟨10.3390/engproc2022028007⟩
Conference papers
hal-03920527v1
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OpenSky Report 2021: Insights on ADS-B Mandate and Fleet Deployment in Times of Crisis2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), Oct 2021, San Antonio, United States. pp.1-10, ⟨10.1109/DASC52595.2021.9594361⟩
Conference papers
hal-03561964v1
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Coupling Mathematical Optimization and Machine Learning for the Aircraft Landing ProblemICRAT 2020, 9th International Conference for Research in Air Transportation, Jun 2020, Tampa, United States
Conference papers
hal-02873423v1
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Deep Trajectory Clustering with AutoencodersICRAT 2020, 9th International Conference for Research in Air Transportation, Sep 2020, Tampa, United States
Conference papers
hal-02916241v1
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Analysis of airport ground operations based on ADS-B data2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT), Feb 2020, Singapour, Singapore. pp.1-9, ⟨10.1109/AIDA-AT48540.2020.9049212⟩
Conference papers
hal-03182721v1
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An Optimistic Planning Approach for the Aircraft Landing ProblemEIWAC 2019:, 6th ENRI International Workshop on ATM/CNS, ENRI, Oct 2019, Tokyo, Japan. pp 173-188, ⟨10.1007/978-981-33-4669-7_10⟩
Conference papers
hal-02382692v1
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A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering7th OpenSky Workshop 2019, Nov 2019, Zurich, Switzerland. pp.73-60, ⟨10.29007/sf1f⟩
Conference papers
hal-02650267v1
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Approche de programmation mixte en nombres entiers pour le séquencement d’avions en atterrissage - cas statiqueROADEF 2019, 20ème congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2019, Le Havre, France
Conference papers
hal-02050005v1
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A-CDM Lite: Situation Awareness and Decision- making for Small Airports based on ADS-B Data9th SESAR Innovation Days: Inspiring Long-Term Research in the Field of Air Traffic Management, SIDs 2019, Dec 2019, Athènes, Greece
Conference papers
hal-02623883v1
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Identifying Anomalies in past en-route Trajectories with Clustering and Anomaly Detection MethodsATM Seminar 2019, Jun 2019, VIENNE, Austria
Conference papers
hal-02345597v1
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Quantitative Assessments of Runway Excursion Precursors using Mode S dataICRAT - International Conference for Research in Air Transportation, Jun 2018, Castelldefels, Spain
Conference papers
hal-02078299v1
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Detecting Controllers' Actions in Past Mode S Data by Autoencoder-Based Anomaly DetectionSID 2018, 8th SESAR Innovation Days, Dec 2018, Salzburg, Austria
Conference papers
hal-02338690v1
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