Xavier Olive
Xavier Olive
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Citée par
Bi-objective optimization of a multiple-target active debris removal mission
N Bérend, X Olive
Acta Astronautica 122, 324-335, 2016
Trajectory clustering of air traffic flows around airports
X Olive, J Morio
Aerospace Science and Technology 84, 776-781, 2019
Recent advances in anomaly detection methods applied to aviation
L Basora, X Olive, T Dubot
Aerospace 6 (11), 117, 2019
Detecting Controllers' Actions in Past Mode S Data by Autoencoder-Based Anomaly Detection
X Olive, J Grignard, T Dubot, J Saint-Lot
Quantitative assessments of runway excursion precursors using Mode S data
X Olive, P Bieber
arXiv preprint arXiv:1903.11964, 2019
Identifying Anomalies in past en-route Trajectories with Clustering and Anomaly Detection Methods
X Olive, L Basora
A view from the cockpit: exploring pilot reactions to attacks on avionic systems
M Smith, M Strohmeier, J Harman, V Lenders, I Martinovic
Internet Society, 2020
OpenSky Report 2019: Analysing TCAS in the Real World using Big Data
M Schäfer, X Olive, M Strohmeier, M Smith, I Martinovic, V Lenders
2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), 1-9, 2019
Traffic, a toolbox for processing and analysing air traffic data
X Olive
Breaking symmetries in distributed constraint programming problems
X Olive, H Nakashima
Proceedings of the IJCAI09 DCR Workshop, 2009
Résolution de conflits par algorithmes stochastiques parallèles
X Olive
Mémoire de DEA, École Nationale Supérieure de l’Aéronautique et de l’Espace …, 2006
SymDPOP: Adapting DPOP to exploit partial symmetries
X Olive, H Nakashima
Proc. 12th International Workshop on Distributed Constraint Programming, 2010
Efficient Representation of Constraints and Propagation of Variable-Value Symmetries in Distributed Constraint Reasoning
X Olive, H Nakashima
Journal of information processing 19, 201-210, 2011
Analysis of airport ground operations based on ADS-B data
M Schultz, X Olive, J Rosenow, H Fricke, S Alam
2020 International Conference on Artificial Intelligence and Data Analytics …, 2020
A-CDM lite: situation awareness and decision making for small airports based on ADS-B data
M Schultz, J Rosenow, X Olive, H Braßel
9th SESAR Innovation Days, 2019
A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering
X Olive, L Basora
7th OpenSky Workshop 2019, 73-60, 2019
An Optimistic Planning Approach for the Aircraft Landing Problem
S Ikli, C Mancel, M Mongeau, X Olive, E Rachelson
OpenSky Report 2020: Analysing in-flight emergencies using big data
X Olive, A Tanner, M Strohmeier, M Schäfer, M Feridun, A Tart, ...
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), 1-10, 2020
Detection and identification of significant events in historical aircraft trajectory data
X Olive, L Basora
Transportation Research Part C: Emerging Technologies 119, 102737, 2020
Deep Trajectory Clustering with Autoencoders
X Olive, L Basora, B Viry, R Alligier
ICRAT 2020,, 2020
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