Publications

Julien LESOUPLE, Lorenzo Ortega (2024). Bayesian EM Approach for GNSS Parameters of Interest Estimation Under Constant Modulus Interference. In EURASIP JASP, accepted, Feb. 2024.

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Mathieu Hussong, Emile Ghizzo, Carl Milner, Axel Garcia-Pena, Julien LESOUPLE, Christophe Macabiau (2023). Impact of meaconers on aircraft GNSS receivers during approaches. In Proc. ION GNSS+ 2023.

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Julien LESOUPLE, Lorenzo Ortega (2023). An EM Approach for GNSS Parameters of Interest Estimation Under Constant Modulus Interference. In Proc. EURASIP Eur. Signal Process. Conf. (EUSIPCO), Belgrade, Serbia, Sep. 2023.

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Audric Baron, Pierre-Baptiste Lambert, Pauline Delande, Jean-Yves Tourneret, Julien LESOUPLE, Serge Fabre (2023). Improving AI Monitoring of Early Life Satellites Using Transfer Learning. In Proc. Int. Conf. Space Operations, Dubai, United Arab Emirates, March 2023.

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Julien LESOUPLE, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret (2022). Estimation du centre et du rayon d’une hypersphère à l’aide d’une loi a priori de Von Mises-Fisher et d’un algorithme EM. In Proc. GRETSI, Nancy, France, Sep. 2022.

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Julien LESOUPLE, Philippe Burger, Jean-Yves Tourneret (2022). An EM Algorithm for Mixtures of Hyperspheres. In Proc. EURASIP Eur. Signal Process. Conf. (EUSIPCO), Belgrade, Serbia, Sep. 2022.

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Julien LESOUPLE, Cédric Baudoin, Marc Spigai, Jean-Yves Tourneret (2021). How to Introduce Expert Feedback into One-Class Support Vector Machines for Anomaly Detection?. In Signal Process., vol. 188, pp. 108197, Nov. 2021.

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Julien LESOUPLE, Cédric Baudoin, Marc Spigai, Jean-Yves Tourneret (2021). Generalized Isolation Forest for Anomaly Detection. In Pattern Recoginit. Lett., vol. 49, pp. 109-119, September, 2021.

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Julien LESOUPLE, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret (2021). Robust Hypersphere Fitting from Noisy Data Using an EM Algorithm. In Proc. EURASIP Eur. Signal Process. Conf. (EUSIPCO), Dublin, Ireland, Aug. 2021.

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Julien LESOUPLE, Barbara Pilastre, Yoann Atlmann, Jean-Yves Tourneret (2021). Hypersphere Fitting from Noisy Data Using an EM Algorithm. In IEEE Signal Process. Lett., vol. 28, pp. 314-318, Jan. 2021.

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Julien LESOUPLE, Jean-Yves Tourneret (2021). Incorporating User Feedback Into One-Class Support Vector Machines for Anomaly Detection. In Proc. EURASIP Eur. Signal Process. Conf. (EUSIPCO), Amsterdam, Netherlands, Jan. 2021.

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Julien LESOUPLE, Thierry Robert, Mohamed Sahmoudi, Jean-Yves Tourneret (2019). Multipath Mitigation for GNSS Positioning in an Urban Environment Using Sparse Estimation. In IEEE Trans. Intell. Transp. Syst., vol. 20, issue 4, pp. 1316-1328, April, 2019.

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Julien LESOUPLE (2019). Sparse Estimation of Multipath Biases for GNSS (in french). PhD Thesis.

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Julien LESOUPLE, Franck Barbiero, Frédéric Faurie, Mohamed Sahmoudi, Jean-Yves Tourneret (2018). Robust Covariance Matrix Estimation and Sparse Bias Estimation for Multipath Mitigation. In Proc. ION GNSS+ 2018.

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Julien LESOUPLE, Franck Barbiero, Frédéric Faurie, Mohamed Sahmoudi, Jean-Yves Tourneret (2018). Smooth Bias Estimation for Multipath Mitigation Using Sparse Estimation. In Proc. IEEE Int. Conf. on Inf. Fusion (FUSION).

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Julien LESOUPLE, Jean-Yves Tourneret, Mohamed Sahmoudi, Franck Barbiero, Frédéric Faurie (2018). Multipath Mitigation in Global Navigation Satellite Systems Using a Bayesian Hierarchical Model with Bernoulli Laplacian Priors. In Proc. IEEE Workshop on Stat. Signal Processing (SSP).

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François Xavier-Marmet, Willy Vigneau, Mohamed Sahmoudi, Julien LESOUPLE, Jean-Yves Tourneret (2017). Procédé de Positionnement par GNSS (in french). N° 17 53907 FR 3 066 027.

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