R. Fablet

发表

Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streamsaset

Duong Nguyen, Rodolphe Vadaine, G. Hajduch, 2018 .

Broad impacts of fine-scale dynamics on seascape structure from zooplankton to seabirds

F. Colas, S. Bertrand, A. Chaigneau, 2014, Nature Communications.

Detection of linear trends in multisensor time series in the presence of autocorrelated noise: Application to the chlorophyll-a SeaWiFS and MERIS data sets and extrapolation to the incoming Sentinel 3-OLCI mission

G. Mercier, A. Mangin, D. Antoine, 2013 .

MEETC2: Ocean color atmospheric corrections in coastal complex waters using a Bayesian latent class model and potential for the incoming sentinel 3 - OLCI mission

G. Mercier, Bertrand Saulquin, R. Fablet, 2016 .

New insights into behavioural ecology of European seabass off the West Coast of France: implications at local and population scales

R. Fablet, H. de Pontual, Maxime Lalire, 2018, ICES Journal of Marine Science.

TOWARDS AN INTEGRATED EU DATA SYSTEM WITHIN ATLANTOS

K. Foote, R. Fablet, E. D. Barton, 2016 .

Multi-task deep learning from Sentinel-1 SAR: ship detection, classification and length estimation MULTI-TASK DEEP LEARNING FROM SENTINEL-1 SAR: SHIP DETECTION, CLASSIFICATION AND LENGTH ESTIMATION

S. Lefèvre, Rodolphe Vadaine, G. Hajduch, 2020 .

Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean

Philippe Lenca, Herlé Mercier, Guillaume Maze, 2017 .

Are hake otolith macrostructures randomly deposited? Insights from an unsupervised statistical and quantitative approach applied to Mediterranean hake otoliths

R. Fablet, N. Courbin, C. Mellon, 2007 .

Non-rigid registration of shape sequence images: Applications to biological and medical images

R. Fablet, K. Nasreddine, A. Benzinou, 2008, 2008 9th International Conference on Signal Processing.

Learning Lyapunov stable Dynamical Embeddings of Geophysical Dynamics

Bertrand Chapron, Fabrice Collard, Said Ouala, 2020 .

Spatial and seasonal patterns of fine-scale to mesoscale upper ocean dynamics in an Eastern Boundary Current System

F. Colas, D. Gutiérrez, A. Chaigneau, 2016 .

Diel vertical migration of European hake Merluccius merluccius and associated temperature histories: insights from a pilot data-storage tagging (DST) experiment.

M. Bertignac, R. Fablet, A. Jolivet, 2012, Journal of fish biology.

Statistical descriptors of ocean regimes from the geometric regularity of Sea Surface Temperature observations

Bertrand Chapron, Ronan Fablet, France, 2011 .

Reconstructing individual shape histories of fish otoliths: A new image-based tool for otolith growth analysis and modeling

A. Chessel, R. Fablet, A. Benzinou, 2009 .

Characterization of geophysical regimes in remote sensing 1 time series : application to the forecasting of satellite-derived 2 suspended matter concentrations . 3

G. Mercier, P. Ailliot, A. Mangin, 2017 .

Joint interpolation of multi-sensor sea surface geophysical fields using non-local and statistical priors

F. Rousseau, R. Fablet, 2015 .

Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily Channel

Ronan Fablet, R. Fablet, Brahim Boussidi, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

SPATIAL DECOMPOSITION OF SST-SSH RELATIONSHIPS IN RELATION TO THE IDENTIFICATION OF SQG-LIKE UPPER OCEAN DYNAMICS FROM SPACE

R. Fablet, P. Tandeo, C. L. Goff, 2016 .

Plasticity of European flounder life history patterns discloses alternatives to catadromy

R. Fablet, E. Dias, J. Martin, 2012 .

Bags-of-Features for fish school cluster characterization in pelagic ecosystems: application to the discrimination of juvenile and adult anchovy clusters off Peru

R. Fablet, A. Bertrand, Salvador Peraltilla, 2020 .

Joint learning of variational representations and solvers for inverse problems with partially-observed data pdf

Ronan Fablet, Lucas Drumetz, Francois Rousseau, 2020, ArXiv.

Multiscale brain MRI super-resolution using deep 3D convolutional networks

Nicolas Passat, Chi-Hieu Pham, Carlos Tor-Díez, 2019, Comput. Medical Imaging Graph..

Residual Integration Neural Network

Ronan Fablet, Said Ouala, Ananda Pascual, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Preparation techniques alter the mineral and organic fractions of fish otoliths: insights using Raman micro-spectrometry

R. Fablet, A. Jolivet, J. Bardeau, 2013, Analytical and Bioanalytical Chemistry.

A HMM-based model to geolocate pelagic fish from high-resolution individual temperature and depth histories: European sea bass as a case study

Ronan Fablet, Tran-Thanh Ngo, Pascal Lazure, 2014 .

Classifying fish schools and estimating their species proportions in fishery-acoustic surveys

Riwal Lefort, Ronan Fablet, Imen Karoui, 2009 .

Understanding otolith biomineralization processes: new insights into microscale spatial distribution of organic and mineral fractions from Raman microspectrometry

R. Fablet, A. Jolivet, J. Bardeau, 2008, Analytical and bioanalytical chemistry.

How do the organic and mineral fractions drive the opacity of fish otoliths? Insights using Raman microspectrometry

R. Fablet, A. Jolivet, J. Bardeau, 2013 .

Colonisation tactics of three temperate catadromous species, eel Anguilla anguilla, mullet Liza ramada and flounder Plathychtys flesus, revealed by Bayesian multielemental otolith microchemistry approach

R. Fablet, J. Martín, J. Martin, 2011 .

Learning Variational Data Assimilation Models and Solvers pdf

Olivier Pannekoucke, Ronan Fablet, Bertrand Chapron, 2020, Journal of Advances in Modeling Earth Systems.

Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data

Ronan Fablet, Said Ouala, Duong Nguyen, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The impact of metabolism on stable isotope dynamics: a theoretical framework

Ronan Fablet, Roger M Nisbet, Laure Pecquerie, 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

Importance and future of individual markers for the ecosystem approach to fisheries

J. Fromentin, R. Fablet, B. Ernande, 2009 .

Preliminary observations of survival and growth of European hake in captivity

R. Fablet, A. Jolivet, Y. Paulet, 2012 .

Can we model otolith growth and opacity patterns as a response to environmental factors and fish metabolism ? A DEB-based framework

Hélène Pontual De, H. Mosegaard, R. Fablet, 2009 .

GeoTrackNet—A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection

Duong Nguyen, Rodolphe Vadaine, G. Hajduch, 2019, IEEE Transactions on Intelligent Transportation Systems.

Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach

Ronan Fablet, Matthieu Lengaigne, Julia Uitz, 2020, Frontiers in Marine Science.

Ecosystem scenarios shape fishermen spatial behavior. The case of the Peruvian anchovy fishery in the Northern Humboldt Current System

Ronan Fablet, Monique Simier, Sophie Bertrand, 2014 .

Deep Learning and Trajectory Representation for the Prediction of Seabird Diving Behaviour

R. Fablet, Amédée Roy, Sophie Lanco-Bertrand, 2021 .

Rafting behaviour of seabirds as a proxy to describe surface ocean currents in the Balearic Sea

D. Oro, E. Mason, A. Pascual, 2019, Scientific Reports.

Spatio-Temporal Segmentation and General Motion Characterization for Video Indexing and Retrieval

Patrick Bouthemy, Ronan Fablet, P. Bouthemy, 1999 .

Learning Stochastic Representations of Geophysical Dynamics

Cédric Herzet, Ronan Fablet, Said Ouala, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection

Stan Matwin, Ronan Fablet, O. S. Kirsebom, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Neural Networks for Vessel Monitoring Using AIS Streams

Guillaume Hajduch, Ronan Fablet, R. Garello, 2018 .

SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI

Nicolas Passat, Guillaume Dollé, Quentin Delannoy, 2020, Comput. Biol. Medicine.

Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea

D. Cazau, R. Fablet, P. Nguyen Hong Duc, 2021, Machine Learning.

PDE-NetGen 1.0: from symbolic PDE representations of physical processes to trainable neural network representations pdf

Olivier Pannekoucke, Ronan Fablet, R. Fablet, 2020, ArXiv.

PDE-NetGen 1.0: from symbolic partial differential equation (PDE) representations of physical processes to trainable neural network representations

Olivier Pannekoucke, Ronan Fablet, R. Fablet, 2020 .

Separability-Based Kullback Divergence Weighting and Filter Selection for Texture Classification and Segmentation

R. Fablet, J. Boucher, R. Fablet, 2022 .

Rafting behaviour of seabirds as a proxy to describe surface ocean currents in the Balearic Sea

D. Oro, E. Mason, A. Pascual, 2019, Scientific Reports.

Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Learnable Variational Models

Ronan Fablet, François Rousseau, Clement Le Goff, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

LOCAL ADAPTIVE BIVARIATE SHRINKAGE WITH REDUCED SENSITIVITY

Sorin Moga, Alexandru Isar, Ioan Nafornita, 2006 .

Multiscale characterization of spatial relationships among oxycline depth, macrozooplankton, and forage fish off Peru using geostatistics, principal coordinates of neighbour matrices (PCNMs), and wavelets

N. Bez, R. Fablet, A. Bertrand, 2012 .

Gradient-free online learning of subgrid-scale dynamics with neural emulators

G. Balarac, R. Fablet, Hugo Frezat, 2023, ArXiv.

COMPUTER VISION AND OTOLITH: TOWARD A MODELISATION OF THE MORPHOGENESIS OF ACCRETIONARY PROCESSES

A. Chessel, R. Fablet, F. Cao, 2008 .

Rain regime segmentation of Sentinel-1 observation learning from NEXRAD collocations with Convolution Neural Networks

R. Fablet, P. Tandeo, R. Husson, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields

D. Cazau, R. Fablet, Matteo Zambra, 2023, 2312.08933.

SegSRGAN: A software solution for super-resolution and segmentation using generative adversarial networks -- Application to neonatal brain MRI

Guillaume Dollé, Quentin Delannoy, Chi-Hieu Pham, 2019 .

Original Article New insights into behavioural ecology of European seabass off the West Coast of France: implications at local and population scales

R. Fablet, Maxime Lalire, Claire Laspougeas, 2019 .

Original Article New insights into behavioural ecology of European seabass off the West Coast of France: implications at local and population scales

R. Fablet, Maxime Lalire, Claire Laspougeas, 2019 .

Statistical discrimination of seabed textures in sonar images using co-occurrence statistics

J.-M. Boucher, K. Imen, R. Fablet, 2005, Europe Oceans 2005.

Neural Incremental Data Assimilation

R. Fablet, Matthieu Blanke, Marc Lelarge, 2024, ArXiv.

A Deep Learning Approach to Extract Balanced Motions From Sea Surface Height Snapshot

R. Fablet, Ge Chen, Chunyong Ma, 2024, Geophysical Research Letters.

Uncertainty Quantification When Learning Dynamical Models and Solvers With Variational Methods

R. Fablet, N. Lafon, P. Naveau, 2023, Journal of Advances in Modeling Earth Systems.