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Journal Articles
- 2023
[j11]Wencan Zhu
, Céline Lévy-Leduc, Nils Ternès:
Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso. BMC Bioinform. 24(1): 25 (2023)- 2021
- [j10]Wencan Zhu, Céline Lévy-Leduc, Nils Ternès:
A variable selection approach for highly correlated predictors in high-dimensional genomic data. Bioinform. 37(16): 2238-2244 (2021) - 2019
- [j9]Valderio Anselmo Reisen, Adriano Marcio Sgrancio, Céline Lévy-Leduc, Pascal Bondon, Edson Zambon Monte, Higor Henrique Aranda Cotta, Flávio Augusto Ziegelmann:
Robust factor modelling for high-dimensional time series: An application to air pollution data. Appl. Math. Comput. 346: 842-852 (2019) - 2018
- [j8]Vincent Brault, Sarah Ouadah, Laure Sansonnet, Céline Lévy-Leduc:
Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices. J. Multivar. Anal. 165: 143-165 (2018) - [j7]Marie Perrot-Dockès, Céline Lévy-Leduc, Laure Sansonnet, Julien Chiquet:
Variable selection in multivariate linear models with high-dimensional covariance matrix estimation. J. Multivar. Anal. 166: 78-97 (2018) - 2016
- [j6]Marjorie Jala, Céline Lévy-Leduc, Eric Moulines, Emmanuelle Conil, Joe Wiart:
Sequential Design of Computer Experiments for the Assessment of Fetus Exposure to Electromagnetic Fields. Technometrics 58(1): 30-42 (2016) - 2014
- [j5]Céline Lévy-Leduc, Maud Delattre, Tristan Mary-Huard, Stéphane Robin:
Two-dimensional segmentation for analyzing Hi-C data. Bioinform. 30(17): 386-392 (2014) - [j4]Valderio Anselmo Reisen, Alessandro José Queiroz Sarnaglia, Neyval Costa Reis Jr., Céline Lévy-Leduc, Jane Méri Santos:
Modeling and forecasting daily average PM10 concentrations by a seasonal long-memory model with volatility. Environ. Model. Softw. 51: 286-295 (2014) - 2012
- [j3]Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé:
Distributed detection/localization of change-points in high-dimensional network traffic data. Stat. Comput. 22(2): 485-496 (2012) - 2010
- [j2]Alessandro José Queiroz Sarnaglia, Valderio Anselmo Reisen, Céline Lévy-Leduc:
Robust estimation of periodic autoregressive processes in the presence of additive outliers. J. Multivar. Anal. 101(9): 2168-2183 (2010) - 2005
- [j1]Marc Lavielle, Céline Lévy-Leduc:
Semiparametric estimation of the frequency of unknown periodic functions and its application to laser vibrometry signals. IEEE Trans. Signal Process. 53(7): 2306-2314 (2005)
Conference and Workshop Papers
- 2016
- [c7]Vincent Brault, Julien Chiquet, Céline Lévy-Leduc:
Fast Detection of Block Boundaries in Block-Wise Constant Matrices. MLDM 2016: 214-228 - [c6]Alessandro José Queiroz Sarnaglia, Valderio Anselmo Reisen, P. Bondou, Céline Lévy-Leduc:
A robust estimation approach for fitting a PARMA model to real data. SSP 2016: 1-5 - 2012
- [c5]Marjorie Jala, Céline Lévy-Leduc, Eric Moulines, Emmanuelle Conil, Joe Wiart:
Sequential design of computer experiments for parameter estimation with application to numerical dosimetry. EUSIPCO 2012: 909-913 - 2011
- [c4]Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé:
Robust changepoint detection based on multivariate rank statistics. ICASSP 2011: 3608-3611 - 2008
- [c3]Céline Lévy-Leduc:
Detection of network anomalies using rank tests. EUSIPCO 2008: 1-5 - 2007
- [c2]Zaïd Harchaoui, Céline Lévy-Leduc:
Catching Change-points with Lasso. NIPS 2007: 617-624 - 2006
- [c1]Céline Lévy-Leduc:
Frequency Estimation From A Particular Almost Periodic Function With Application To Laser Vibrometry Signals. ICASSP (3) 2006: 141-144
Informal and Other Publications
- 2021
- [i2]Mary Savino, Céline Lévy-Leduc, Marc Leconte, Benoit Cochepin:
An active learning approach for improving the performance of equilibrium based chemical simulations. CoRR abs/2110.08111 (2021) - 2009
- [i1]Alexandre Lung-Yut-Fong, Céline Lévy-Leduc, Olivier Cappé:
Distributed detection/localization of change-points in high-dimensional network traffic data. CoRR abs/0909.5524 (2009)
Coauthor Index
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