Pierre Ailliot

According to our database, Pierre Ailliot authored at least 15 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Learning the spatio-temporal relationship between wind and significant wave height using deep learning.

Said Obakrim, Valérie Monbet, Nicolas Raillard, Pierre Ailliot

CoRR, 2022

2021

An algorithm for non-parametric estimation in state-space models.

Thi Tuyet Trang Chau, Pierre Ailliot, Valérie Monbet

Comput. Stat. Data Anal., 2021

2017

Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature.

Valérie Monbet, Pierre Ailliot

Comput. Stat. Data Anal., 2017

Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data.

Manuel Lopez-Radcenco, Ronan Fablet, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Non-negative decomposition of geophysical dynamics.

Manuel Lopez-Radcenco, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot, Ronan Fablet

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Non-negative decomposition of linear relationships: Application to multi-source ocean remote sensing data.

Manuel Lopez-Radcenco, Abdeldjalil Aïssa-El-Bey, Pierre Ailliot, Pierre Tandeo, Ronan Fablet

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

An exemplar-based hidden Markov model framework for nonlinear state-space models.

Redouane Lguensat, Ronan Fablet, Pierre Ailliot, Pierre Tandeo

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Characterization of Time-Varying Regimes in Remote Sensing Time Series: Application to the Forecasting of Satellite-Derived Suspended Matter Concentrations.

Bertrand Saulquin, Ronan Fablet, Pierre Ailliot, Grégoire Mercier, David Doxaran, Antoine Mangin, Odile Fanton d'Andon

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Modeling process asymmetries with Laplace moving average.

Nicolas Raillard, Marc Prevosto, Pierre Ailliot

Comput. Stat. Data Anal., 2015

Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures.

Redouane Lguensat, Pierre Tandeo, Ronan Fablet, Pierre Ailliot

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Hidden surface dynamical modes and SSH retrievals from a joint analysis of altimetry and microwave SST.

Pierre Tandeo, Ronan Fablet, Pierre Ailliot

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Ocean surface current retrieval using a non homogeneous Markov-switching multi-regime model.

Pierre Tandeo, Ronan Fablet, Pierre Ailliot

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012

Markov-switching autoregressive models for wind time series.

Pierre Ailliot, Valérie Monbet

Environ. Model. Softw., 2012

2009

A Multivariate Regression Approach to Adjust AATSR Sea Surface Temperature to <i> In Situ</i> Measurements.

Pierre Tandeo, Emmanuelle Autret, Jean-François Piollé, Jean Tournadre, Pierre Ailliot

IEEE Geosci. Remote. Sens. Lett., 2009

2006

Long Term Object Drift Forecast in the Ocean with Tide and Wind.

Pierre Ailliot, Emmanuel Frénod, Valérie Monbet

Multiscale Model. Simul., 2006