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Modèles markoviens de ressources partagées

Florence Forbes
Modélisation et simulation. Université Joseph-Fourier - Grenoble I, 1996. Français. ⟨NNT : ⟩
Theses tel-00004991v1
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A convergence theorem for variational EM-like algorithms: application to image segmentation

Florence Forbes , Gersende Fort
RR-5721, INRIA. 2005, pp.36
Reports inria-00070297v1

Model-based region-of-interest selection in dynamic breast MRI

Florence Forbes , Nathalie Dubois Peyrard Peyrard , C. Fraley , Dianne Georgian-Smith , David M. Goldhaber et al.
Journal of Computer Assisted Tomography, 2006, 30 (4), pp.675-687
Journal articles hal-02656483v1
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Bayesian Morphology: Fast Unsupervised Bayesian Image Analysis

Florence Forbes , Adrian E. Raftery
RR-3374, INRIA. 1998
Reports inria-00073315v1
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Deviance Information Criteria for Missing Data Models

Gilles Celeux , Florence Forbes , Christian P. Robert , Mike Titterington
[Research Report] RR-4859, INRIA. 2003
Reports inria-00071724v1

Automatic learning of functional summary statistics for approximate Bayesian computation

Florence Forbes
O'Bayes 2022 - Objective Bayes Methodology Conference, Sep 2022, Santa Cruz, United States
Conference papers hal-03874003v1

Simulation-based Bayesian inference for high dimensional inverse problems

Florence Forbes
CIRM Research school on End-to-end Bayesian Learning Methods, Oct 2021, Luminy, France
Conference papers hal-03874016v1

Online Majorization Minimization algorithms

Florence Forbes
CIRM Workshop on Computational Methods for Unifying Multiple Statistical Analyses (Fusion), Oct 2022, Luminy, France
Conference papers hal-03874028v1

Surrogate posteriors for Approximate Bayesian Computation

Florence Forbes
SIAM Conference on Computational Science and Engineering (CSE21), Likelihood-free inference minisymposium, Mar 2021, Virtual, France
Conference papers hal-03874042v1
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Models and inference for structured stochastic systems

Florence Forbes
Modeling and Simulation. Université de Grenoble, 2010
Habilitation à diriger des recherches tel-00578938v1
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Mixture Models for Image Analysis

Florence Forbes
Sylvia Fruhwirth-Schnatter; Gilles Celeux; Christian P. Robert. Handbook of Mixture Analysis, CRC press, pp.397-418, 2018, 9781498763813
Book sections hal-01970681v1
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Introduction to statistical methods in signal and image processing

Florence Forbes
Doctoral. Peyresq, France. 2016
Lectures cel-01423624v1

Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors

Florence Forbes
BayesComp 2023, Mar 2023, Levi, Finland
Conference papers hal-03874011v1
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Modelling structured data with probabilistic graphical models

Florence Forbes
D. Fraix-Burnet; S. Girard. Statistics for Astrophysics- Classification and Clustering, 77, EDP Sciences, pp.195-219, 2016, EAS Publication Series, ⟨10.1051/eas/1677009⟩
Book sections istex hal-01423613v1

Learning approaches for Bayesian inverse problems

Florence Forbes
UGA-McMaster joint workshop 2022, Jun 2022, Hamilton, Canada
Conference papers hal-03874054v1

Simulation-based approaches to Bayesian inverse problems

Florence Forbes
ICMS workshop on Interfacing Bayesian statistics, machine learning, applied analysis, and blind and semi-blind imaging inverse problems, Jan 2023, Edimburgh, United Kingdom
Conference papers hal-03874057v1

Simulation based inference for high dimensional inverse problems: application to magnetic resonance fingerprinting

Florence Forbes
Colloque  Intelligence Artificielle et santé : approches interdisciplinaires 2022, Jun 2022, Nantes, France
Conference papers hal-03876812v1
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Location and scale mixtures of Gaussians with flexible tail behaviour: properties, inference and application to multivariate clustering

Darren Wraith , Florence Forbes
Computational Statistics and Data Analysis, 2015, 90, pp.61-73. ⟨10.1016/j.csda.2015.04.008⟩
Journal articles hal-01970565v1
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EM Procedures Using Mean Field-Like Approximations for Markov Model-Based Image Segmentation

Gilles Celeux , Florence Forbes , Nathalie Peyrard
[Research Report] RR-4105, INRIA. 2001
Reports inria-00072526v1

Gene clustering via integrated Markov models combining individual and pairwise features.

Matthieu Vignes , Florence Forbes
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2009, 6 (2), pp.260-270. ⟨10.1109/TCBB.2007.70248⟩
Journal articles hal-00781174v1
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Triplet Markov fields for the classification of complex structure data

Juliette Blanchet , Florence Forbes
[Research Report] RR-6356, INRIA. 2007
Reports inria-00168621v2
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A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweights: Application to robust clustering

Florence Forbes , Darren Wraith
Statistics and Computing, 2014, 24 (6), pp.971-984. ⟨10.1007/s11222-013-9414-4⟩
Journal articles hal-00823451v2

Triplet Markov fields for the classification of complex structure data

Juliette Blanchet , Florence Forbes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30 (6), pp.1055-1067. ⟨10.1109/TPAMI.2008.27⟩
Journal articles hal-00846808v1

Harmony Search with Differential Mutation Based Pitch Adjustment

A. Kai Qin , Florence Forbes
GECCO'11 - 13th annual conference on Genetic and evolutionary computation, Jul 2011, Dublin, Ireland. pp.545-552, ⟨10.1145/2001576.2001651⟩
Conference papers hal-00780523v1

Robust mixture modelling using skewed multivariate distributions with variable amounts of tailweight

Florence Forbes , Darren Wraith
JdS 2019 - 51èmes Journées de Statistique, Jun 2019, Nancy, France
Conference papers hal-02423639v1

Partial volume estimation in brain MRI revisited

Alexis Roche , Florence Forbes
MICCAI 2014 - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2014, Boston, United States. pp.771-778, ⟨10.1007/978-3-319-10404-1_96⟩
Conference papers hal-01107469v1

Dynamic Regional Harmony Search with Opposition and Local Learning

A. Kai Qin , Florence Forbes
GECCO'11 - 13th annual conference companion on Genetic and evolutionary computation, Jul 2011, Dublin, Ireland. pp.53-54, ⟨10.1145/2001858.2001890⟩
Conference papers hal-00780548v1

Robust mixture modelling using skewed multivariate distributions with variable amounts of tailweight

Florence Forbes , Darren Wraith
7th International Conference of the ERCIM WG on Computing and Statistics, Oct 2014, Pise, Italy
Conference papers hal-01107622v1

An improved CUDA-based implementation of differential evolution on GPU

Kai Qin , Federico Raimondo , Florence Forbes , Yew Soon Ong
GECCO '12 - 14th international conference on Genetic and evolutionary computation conference, Jul 2012, Philadelphia, United States. pp.991-998, ⟨10.1145/2330163.2330301⟩
Conference papers hal-00780081v1

Modèles markoviens pour l'organisation spatiale de descripteurs d'images

Juliette Blanchet , Florence Forbes , Cordelia Schmid
37e Journées de Statistique de la Société Française de Statistique, Jun 2005, Pau, France
Conference papers inria-00548519v1