A constrained neural network with complex activation function: application to time-frequency analysis. - Mohamed Ibnkahla; Stéphane Puechmorel; Francis Castanie (ICASSP (2), 1994)

Noise behaviour in the modified Fourier transform for interferometric data inversion. - Stéphane Puechmorel; Pierre Thibaut (ICASSP (6), 1994)

Fiber bundles and receptive neural fields. - Stéphane Puechmorel (ICNN, 1997)

A New Genetic Algorithms Working on State Domain Order Statistics. - Daniel Delahaye; Stéphane Puechmorel (PPSN, 2000)

Air Traffic Controller Keyboard Optimization by Artificial Evolution. - Daniel Delahaye; Stéphane Puechmorel (Artificial Evolution, 2003)

Order Statistics in Artificial Evolution. - Stéphane Puechmorel; Daniel Delahaye (Artificial Evolution, 2003)

Airspace congestion smoothing by multi-objective genetic algorithm. - Daniel Delahaye; Sofiane Oussedik; Stéphane Puechmorel (SAC, 2005)

3D airspace sectoring by evolutionary computation: real-world applications. - Daniel Delahaye; Stéphane Puechmorel (GECCO, 2006)

Aircraft local wind estimation from radar tracker data. - Daniel Delahaye; Stéphane Puechmorel (ICARCV, 2008)

Dynamical systems complexity with a view towards air traffic management applications. - Stéphane Puechmorel; Daniel Delahaye (CDC, 2009)

Air traffic complexity based on dynamical systems. - Daniel Delahaye; Stéphane Puechmorel (CDC, 2010)

Light Propagation algorithm for aircraft trajectory planning. - Nourel Houda Dougui; Daniel Delahaye; Stéphane Puechmorel; Marcel Mongeau (ACC, 2011)

Wind field evaluation by using radar data and vector spline interpolation. - Daniel Delahaye; Christophe Rabut; Stéphane Puechmorel (ICCA, 2011)

Toward Air Traffic Complexity Assessment in New Generation Air Traffic Management Systems. - Maria Prandini; Luigi Piroddi; Stéphane Puechmorel; Silvie Luisa Brázdilová (IEEE Trans. Intell. Transp. Syst., 2011)

A light-propagation model for aircraft trajectory planning. - Nourelhouda Dougui; Daniel Delahaye; Stéphane Puechmorel; Marcel Mongeau (J. Glob. Optim., 2013)

Order statistics and region-based evolutionary computation. - Stéphane Puechmorel; Daniel Delahaye (J. Glob. Optim., 2014)

Wind parameters extraction from aircraft trajectories. - Christophe Hurter; Richard Alligier; David Gianazza; Stéphane Puechmorel; Gennady L. Andrienko; Natalia V. Andrienko (Comput. Environ. Urban Syst., 2014)

Entropy Minimizing Curves with Application to Automated Flight Path Design. - Stéphane Puechmorel; Florence Nicol (GSI, 2015)

Entropy Minimizing Curves with Application to Flight Path Design and Clustering. - Stéphane Puechmorel; Florence Nicol (Entropy, 2016)

Von Mises-Like Probability Density Functions on Surfaces. - Florence Nicol; Stéphane Puechmorel (GSI, 2017)

Performance Assessment of a New Routing Protocol in AANET. - Quentin Vey; Alain Pirovano; Stéphane Puechmorel; José Radzik (Nets4Cars/Nets4Trains/Nets4Aircraft, 2017)

A Combined MRI Biomarker Approach Using a Non-Standard Multiple Factor Analysis. - Sana Rebbah; Daniel Delahaye; Stéphane Puechmorel; Florence Nicol; Pierre Maréchal; Isabelle Berry (CISP-BMEI, 2018)

On the Geodesic Distance in Shapes K-means Clustering. - Stefano Antonio Gattone; Angela de Sanctis; Stéphane Puechmorel; Florence Nicol (Entropy, 2018)

Functional Decomposition for Bundled Simplification of Trail Sets. - Christophe Hurter; Stéphane Puechmorel; Florence Nicol; Alexandru C. Telea (IEEE Trans. Vis. Comput. Graph., 2018)

Approximation of Densities on Riemannian Manifolds. - Alice Le Brigant; Stéphane Puechmorel (Entropy, 2019)

Quantization and clustering on Riemannian manifolds with an application to air traffic analysis. - Alice Le Brigant; Stéphane Puechmorel (J. Multivar. Anal., 2019)

Classifying histograms of medical data using information geometry of beta distributions. - Alice Le Brigant; Nicolas Guigui; Sana Rebbah; Stéphane Puechmorel (CoRR, 2020)

Canonical Foliations of Statistical Manifolds with Hyperbolic Compact Leaves. - Michel Boyom; Emmanuel Gnandi; Stéphane Puechmorel (GSI, 2021)

Canonical foliations of neural networks: application to robustness. - Eliot Tron; Nicolas Couellan; Stéphane Puechmorel (CoRR, 2022)

Pullback Bundles and the Geometry of Learning. - Stéphane Puechmorel (Entropy, 2023)

Unscented Kalman Filter using Optimal Quantization. - Vivien Pravong; Jean-Philippe Condomines; Gustav Öman Lundin; Stéphane Puechmorel (FUSION, 2024)

Cartan moving frames and the data manifolds. - Eliot Tron; Rita Fioresi; Nicolas Couellan; Stéphane Puechmorel (CoRR, 2024)

Adversarial attacks on neural networks through canonical Riemannian foliations. - Eliot Tron; Nicolas Couëllan; Stéphane Puechmorel (Mach. Learn., 2024)