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Stéphane Puechmorel
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2020 – today
- 2024
- [c19]Vivien Pravong, Jean-Philippe Condomines, Gustav Öman Lundin, Stéphane Puechmorel:
Unscented Kalman Filter using Optimal Quantization. FUSION 2024: 1-8 - [i3]Eliot Tron, Rita Fioresi, Nicolas Couellan, Stéphane Puechmorel:
Cartan moving frames and the data manifolds. CoRR abs/2409.12057 (2024) - 2023
- [j10]Stéphane Puechmorel:
Pullback Bundles and the Geometry of Learning. Entropy 25(10): 1450 (2023) - 2022
- [i2]Eliot Tron, Nicolas Couellan, Stéphane Puechmorel:
Canonical foliations of neural networks: application to robustness. CoRR abs/2203.00922 (2022) - 2021
- [c18]Michel Boyom, Emmanuel Gnandi, Stéphane Puechmorel:
Canonical Foliations of Statistical Manifolds with Hyperbolic Compact Leaves. GSI 2021: 371-379 - 2020
- [i1]Alice Le Brigant, Nicolas Guigui, Sana Rebbah, Stéphane Puechmorel:
Classifying histograms of medical data using information geometry of beta distributions. CoRR abs/2006.04511 (2020)
2010 – 2019
- 2019
- [j9]Alice Le Brigant, Stéphane Puechmorel:
Approximation of Densities on Riemannian Manifolds. Entropy 21(1): 43 (2019) - [j8]Alice Le Brigant, Stéphane Puechmorel:
Quantization and clustering on Riemannian manifolds with an application to air traffic analysis. J. Multivar. Anal. 173: 685-703 (2019) - 2018
- [j7]Stefano Antonio Gattone, Angela de Sanctis, Stéphane Puechmorel, Florence Nicol:
On the Geodesic Distance in Shapes K-means Clustering. Entropy 20(9): 647 (2018) - [j6]Christophe Hurter, Stéphane Puechmorel, Florence Nicol, Alexandru C. Telea:
Functional Decomposition for Bundled Simplification of Trail Sets. IEEE Trans. Vis. Comput. Graph. 24(1): 500-510 (2018) - [c17]Sana Rebbah, Daniel Delahaye, Stéphane Puechmorel, Florence Nicol, Pierre Maréchal, Isabelle Berry:
A Combined MRI Biomarker Approach Using a Non-Standard Multiple Factor Analysis. CISP-BMEI 2018: 1-6 - 2017
- [c16]Florence Nicol, Stéphane Puechmorel:
Von Mises-Like Probability Density Functions on Surfaces. GSI 2017: 701-708 - [c15]Quentin Vey, Alain Pirovano, Stéphane Puechmorel, José Radzik:
Performance Assessment of a New Routing Protocol in AANET. Nets4Cars/Nets4Trains/Nets4Aircraft 2017: 3-14 - 2016
- [j5]Stéphane Puechmorel, Florence Nicol:
Entropy Minimizing Curves with Application to Flight Path Design and Clustering. Entropy 18(9): 337 (2016) - 2015
- [c14]Stéphane Puechmorel, Florence Nicol:
Entropy Minimizing Curves with Application to Automated Flight Path Design. GSI 2015: 770-778 - 2014
- [j4]Stéphane Puechmorel, Daniel Delahaye:
Order statistics and region-based evolutionary computation. J. Glob. Optim. 59(1): 107-130 (2014) - [j3]Christophe Hurter, Richard Alligier, David Gianazza, Stéphane Puechmorel, Gennady L. Andrienko, Natalia V. Andrienko:
Wind parameters extraction from aircraft trajectories. Comput. Environ. Urban Syst. 47: 28-43 (2014) - 2013
- [j2]Nourelhouda Dougui, Daniel Delahaye, Stéphane Puechmorel, Marcel Mongeau:
A light-propagation model for aircraft trajectory planning. J. Glob. Optim. 56(3): 873-895 (2013) - 2011
- [j1]Maria Prandini, Luigi Piroddi, Stéphane Puechmorel, Silvie Luisa Brázdilová:
Toward Air Traffic Complexity Assessment in New Generation Air Traffic Management Systems. IEEE Trans. Intell. Transp. Syst. 12(3): 809-818 (2011) - [c13]Nourel Houda Dougui, Daniel Delahaye, Stéphane Puechmorel, Marcel Mongeau:
Light Propagation algorithm for aircraft trajectory planning. ACC 2011: 2143-2147 - [c12]Daniel Delahaye, Christophe Rabut, Stéphane Puechmorel:
Wind field evaluation by using radar data and vector spline interpolation. ICCA 2011: 219-224 - 2010
- [c11]Daniel Delahaye, Stéphane Puechmorel:
Air traffic complexity based on dynamical systems. CDC 2010: 2069-2074
2000 – 2009
- 2009
- [c10]Stéphane Puechmorel, Daniel Delahaye:
Dynamical systems complexity with a view towards air traffic management applications. CDC 2009: 8369-8374 - 2008
- [c9]Daniel Delahaye, Stéphane Puechmorel:
Aircraft local wind estimation from radar tracker data. ICARCV 2008: 1033-1038 - 2006
- [c8]Daniel Delahaye, Stéphane Puechmorel:
3D airspace sectoring by evolutionary computation: real-world applications. GECCO 2006: 1637-1644 - 2005
- [c7]Daniel Delahaye, Sofiane Oussedik, Stéphane Puechmorel:
Airspace congestion smoothing by multi-objective genetic algorithm. SAC 2005: 907-912 - 2003
- [c6]Stéphane Puechmorel, Daniel Delahaye:
Order Statistics in Artificial Evolution. Artificial Evolution 2003: 51-62 - [c5]Daniel Delahaye, Stéphane Puechmorel:
Air Traffic Controller Keyboard Optimization by Artificial Evolution. Artificial Evolution 2003: 177-188 - 2000
- [c4]Daniel Delahaye, Stéphane Puechmorel:
A New Genetic Algorithms Working on State Domain Order Statistics. PPSN 2000: 777-786
1990 – 1999
- 1997
- [c3]Stéphane Puechmorel:
Fiber bundles and receptive neural fields. ICNN 1997: 1127-1130 - 1994
- [c2]Stéphane Puechmorel, Pierre Thibaut:
Noise behaviour in the modified Fourier transform for interferometric data inversion. ICASSP (6) 1994: 157-160 - [c1]Mohamed Ibnkahla, Stéphane Puechmorel, Francis Castanie:
A constrained neural network with complex activation function: application to time-frequency analysis. ICASSP (2) 1994: 545-548
Coauthor Index
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