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| 1 | Estimation of the sensitivity of four sampling methods for Mycoplasma hyopneumoniae detection in live pigs using a Bayesian approach显示文摘 | Fablet C Marois C Kobisch M | 2010 | Vet Microbiol2010，143，2： | 1 |
| 2 | Development of a quantitative Real -Time TaqMan PCR assay for determination of the minimal dose of Mycoplasma hyopneumoniae strain 116 required to induce pneumonia in SPF pigs 显示文摘 | Marois C Dory D Fablet C | 2010 | J Appl Microbiol2010，108，5： | 1 |
| 3 | Automated fish age estimation from otolith images using statistical learning 显示文摘 | FABLET R JOSSE N L | 2005 | Fisheries Research2005，，72： | 1 |
| 4 | Development of a quantitative Real-Time TaqMan PCR assay for determination of the minimal dose of Mycoplasma hyopneumoniae strain 116 required to induce pneumonia in SPF pigs显示文摘 | Marois C Dory D Fablet C | | 0，，05： | 1 |
| 5 | Estimation of the sensitivity of four sampling methods for Mycoplasma hyopnnumoniae detection in live pigs using a Bayesian approach显示文摘 | Fablet C Marois C Kobisch M | | 0，，2： | 1 |
| 6 | Motion estimation on infraraded image sequences显示文摘 | COLLET C FABLET R | 1999 | SPIE1999，3699，： | 1 |
| 7 | Develop-ment of a quantitative Real-Time TaqMan PCR assay for determination of the minimal dose of Mycoplasma hyopneumoniae strain116required to induce pneumo-nia in SPF pigs显示文摘 | MAROIS C DORY D FABLET C | 2010 | J Appl Microbiol2010，108，5： | 1 |
| 8 | Stable octameric structure of recombinant hemoglobin alpha(2 ) beta( 2 ) 83 Gly - - > Cys 显示文摘 | Fablet C Marden MC Green BN | 2003 | Protein Sci2003，12，4： | 1 |
| 9 | Automated fish age estimation from otolith images using statistical learning显示文摘 | Fablet R Josse N L | 2005 | Fisheries Research2005，72，23： | 1 |
| 10 | Development of a quantitative Real-Time TaqMan PCR assay for determination of the minimal dose of Mycoplasma hyopneumoniae strain 116 required to induce pneumonia in SPF pigs 显示文摘 | Marois C Dory D Fablet C | 2010 | J Appl Microbiol2010，108，5： | 1 |
| 11 | Longitudinal study of re-spiratory infection patterns of breeding sows in five farrow-to-finish herds显示文摘 | Fablet C Marois C Kuntz S G | 2011 | Veterinary2011，2011，147： | 1 |
| 12 | Bacterial pathogens associated with lung lesions in slaughter pigs from 125 herds显示文摘 | Fablet C Marois C Dorenlor V | 2012 | Res Vet Sci2012，93，2： | 1 |
| 13 | Key- point-based analysis of sonar images: application to sea- bed recognition 显示文摘 | HuuGiao Nguyen Fablet R Ehrhold A | 2012 | IEEE Transactions on Geoscience and Remote Sensing2012，50，4： | 1 |
| 14 | Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems:A Review显示文摘Data assimilation(DA)and uncertainty quantification(UQ)are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics.Typical applications span from computational fluid dynamics(CFD)to geoscience and climate systems.Recently,much effort has been given in combining DA,UQ and machine learning(ML)techniques.These research efforts seek to address some critical challenges in high-dimensional dynamical systems,including but not limited to dynamical system identification,reduced order surrogate modelling,error covariance specification and model error correction.A large number of developed techniques and methodologies exhibit a broad applicability across numerous domains,resulting in the necessity for a comprehensive guide.This paper provides the first overview of state-of-the-art researches in this interdisciplinary field,covering a wide range of applications.This review is aimed at ML scientists who attempt to apply DA and UQ techniques to improve the accuracy and the interpretability of their models,but also at DA and UQ experts who intend to integrate cutting-edge ML approaches to their systems.Therefore,this article has a special focus on how ML methods can overcome the existing limits of DA and UQ,and vice versa.Some exciting perspectives of this rapidly developing research field are also discussed.Index Terms-Data assimilation(DA),deep learning,machine learning(ML),reduced-order-modelling,uncertainty quantification(UQ). | Sibo Cheng César Quilodrán-Casas Said Ouala Alban Farchi Che Liu Pierre Tandeo Ronan Fablet Didier Lucor Bertrand Iooss Julien Brajard Dunhui Xiao Tijana Janjic Weiping Ding Yike Guo Alberto Carrassi Marc Bocquet Rossella Arcucci | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，6： | 1 |
| 15 | Longitudinal study of respiratory infection patterns of breeding sows in five farrow-to-finish herds显示文摘 | C. Fablet C. Marois G. Kuntz-Simon N. Rose V. Dorenlor F. Eono E. Eveno J.P. Jolly L. Le Devendec V. Tocqueville S. Quéguiner S. Gorin M. Kobisch F. Madec | 2010 | Veterinary Microbiology2010，，3： | 1 |
| 16 | The spatial organization of proton and lactate transport in a rat brain tumor显示文摘 | Grillon E Farion R Fablet K | 2011 | PloS One2011，6，17： | 1 |
| 17 | Development of a quantitative Real-Time TaqMan PCR assay for determi-nation of the minimal dose of My-coplasma hyopneumoniae strain116required to induce pneumonia in SPF pigs显示文摘 | MAROIS C DORY D FABLET C | 2010 | Journal of Applied Microbiolo-gy2010，108，5： | 1 |
| 18 | Estimation of the sensitivity of four sampling methods for Mycoplas-ma hyopneumoniae detection in live pigs using a Bayesian approach显示文摘 | FABLET C MAROIS C KOBISCH M | 2010 | Veterinary Microbiology2010，143，24： | 1 |
| 19 | Infectious agents associated with respiratory diseases in 125 farrow to finish pig herds: a cross-sectional study显示文摘 | Fablet C Marois Crehan C Simon G | 2012 | Veterinary Microbiology2012，157，12： | 1 |
| 20 | Variational shape matching for shape classification and retrieval显示文摘 | Nasreddine K Benzinou A and Fablet R | 2010 | Pattern Recognition Letters2010，31，12： | 1 |
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