
Florence Forbes
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2020 – today
- 2020
- [j33]Hien Duy Nguyen
, Julyan Arbel
, Hongliang Lü, Florence Forbes
:
Approximate Bayesian Computation Via the Energy Statistic. IEEE Access 8: 131683-131698 (2020) - [j32]Hien Duy Nguyen
, Florence Forbes, Geoffrey J. McLachlan:
Mini-batch learning of exponential family finite mixture models. Stat. Comput. 30(4): 731-748 (2020) - [j31]Hongliang Lü, Julyan Arbel, Florence Forbes:
Bayesian nonparametric priors for hidden Markov random fields. Stat. Comput. 30(4): 1015-1035 (2020) - [c47]Fei Zheng, Stéphane Bonnet, Emma Villeneuve, Maeva Doron, Aurore Lepecq, Florence Forbes:
Unannounced Meal Detection for Artificial Pancreas Systems Using Extended Isolation Forest. EMBC 2020: 5892-5895 - [c46]Verónica Muñoz Ramírez, Virgilio Kmetzsch
, Florence Forbes, Michel Dojat:
Deep Learning Models to Study the Early Stages of Parkinson's Disease. ISBI 2020: 1534-1537 - [i7]Vasil Khalidov, Florence Forbes, Radu Horaud:
Conjugate Mixture Models for Clustering Multimodal Data. CoRR abs/2012.04951 (2020) - [i6]Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang:
Rigid and Articulated Point Registration with Expectation Conditional Maximization. CoRR abs/2012.05191 (2020)
2010 – 2019
- 2019
- [j30]Hien D. Nguyen
, Faicel Chamroukhi
, Florence Forbes:
Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model. Neurocomputing 366: 208-214 (2019) - [c45]Karina Ashurbekova, Sophie Achard, Florence Forbes:
Structure Learning via Hadamard Product of Correlation and Partial Correlation Matrices. EUSIPCO 2019: 1-5 - [c44]Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat
:
Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. ISBI 2019: 1572-1575 - [c43]Verónica Muñoz Ramírez, Florence Forbes, Pierrick Coupé, Michel Dojat:
No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients. MedInfo 2019: 268-272 - 2018
- [j29]Émeline Perthame, Florence Forbes, Antoine Deleforge:
Inverse regression approach to robust nonlinear high-to-low dimensional mapping. J. Multivar. Anal. 163: 1-14 (2018) - [j28]Alexis Arnaud
, Florence Forbes
, Nicolas Coquery
, Nora Collomb, Benjamin Lemasson
, Emmanuel Luc Barbier
:
Fully Automatic Lesion Localization and Characterization: Application to Brain Tumors Using Multiparametric Quantitative MRI Data. IEEE Trans. Medical Imaging 37(7): 1678-1689 (2018) - 2017
- [j27]Alessandro Chiancone
, Florence Forbes, Stéphane Girard:
Student Sliced Inverse Regression. Comput. Stat. Data Anal. 113: 441-456 (2017) - [j26]Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret, Florence Forbes, Philippe Ciuciu:
A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation. Signal Process. 135: 132-146 (2017) - [c42]Christophe Maggia, Thomas Mistral, Senan Doyle, Florence Forbes, Alexandre Krainik, Damien Galanaud, Emmanuelle Schmitt, Stéphane Kremer, Irène Troprès, Emmanuel Luc Barbier
, Jean-François Payen, Michel Dojat
:
Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes. BrainLes@MICCAI 2017: 88-99 - [c41]Senan Doyle, Florence Forbes, Assia Jaillard
, Olivier Heck, Olivier Detante, Michel Dojat
:
Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation. BrainLes@MICCAI 2017: 111-122 - 2016
- [j25]Pablo Mesejo
, Sandrine Saillet
, Olivier David
, Christian G. Bénar, Jan M. Warnking, Florence Forbes:
A Differential Evolution-Based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data. IEEE J. Sel. Top. Signal Process. 10(2): 416-427 (2016) - [j24]Israel Dejene Gebru, Xavier Alameda-Pineda
, Florence Forbes, Radu Horaud
:
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2402-2415 (2016) - [j23]Gildas Mazo, Stéphane Girard, Florence Forbes:
A flexible and tractable class of one-factor copulas. Stat. Comput. 26(5): 965-979 (2016) - [c40]Antoine Deleforge, Florence Forbes:
Rectified binaural ratio: A complex T-distributed feature for robust sound localization. EUSIPCO 2016: 1257-1261 - [c39]Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu:
Multi-subject joint parcellation detection estimation in functional MRI. ISBI 2016: 74-77 - [i5]Antoine Deleforge, Florence Forbes:
Rectified binaural ratio: A complex T-distributed feature for robust sound localization. CoRR abs/1609.09743 (2016) - 2015
- [j22]Darren Wraith
, Florence Forbes:
Location and scale mixtures of Gaussians with flexible tail behaviour: Properties, inference and application to multivariate clustering. Comput. Stat. Data Anal. 90: 61-73 (2015) - [j21]Antoine Deleforge, Florence Forbes, Radu Horaud:
Acoustic Space Learning for Sound-Source Separation and Localization on Binaural Manifolds. Int. J. Neural Syst. 25(1): 1440003:1-1440003:21 (2015) - [j20]Antoine Deleforge, Florence Forbes, Sileye O. Ba, Radu Horaud:
Hyper-Spectral Image Analysis With Partially Latent Regression and Spatial Markov Dependencies. IEEE J. Sel. Top. Signal Process. 9(6): 1037-1048 (2015) - [j19]Gildas Mazo, Stéphane Girard, Florence Forbes:
A class of multivariate copulas based on products of bivariate copulas. J. Multivar. Anal. 140: 363-376 (2015) - [j18]Antoine Deleforge, Florence Forbes, Radu Horaud:
High-dimensional regression with gaussian mixtures and partially-latent response variables. Stat. Comput. 25(5): 893-911 (2015) - [j17]Bjoern H. Menze
, András Jakab
, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins
, Nicolas Cordier
, Jason J. Corso, Antonio Criminisi, Tilak Das
, Herve Delingette, Çagatay Demiralp, Christopher R. Durst
, Michel Dojat
, Senan Doyle, Joana Festa
, Florence Forbes, Ezequiel Geremia, Ben Glocker
, Polina Golland, Xiaotao Guo, Andac Hamamci
, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira
, Doina Precup, Stephen J. Price
, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva
, Nuno Sousa
, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison
, Gözde B. Ünal
, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa
, Mauricio Reyes, Koen Van Leemput
:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c38]Florence Forbes, Wray L. Buntine:
Special session on trends & controversies in data science (TCDS). DSAA 2015: XVII-XXVIII - [c37]Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu:
Physiological models comparison for the analysis of ASL FMRI data. ISBI 2015: 1348-1351 - [c36]Christophe Maggia, Senan Doyle, Florence Forbes, Olivier Heck, Irène Troprès, Corentin Berthet, Yann Teyssier, Lionel Velly, Jean-François Payen, Michel Dojat
:
Assessment of Tissue Injury in Severe Brain Trauma. Brainles@MICCAI 2015: 57-68 - [c35]Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu:
Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis. MICCAI (1) 2015: 85-92 - [c34]Pablo Mesejo, Sandrine Saillet
, Olivier David
, Christian G. Bénar, Jan M. Warnking, Florence Forbes:
Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization. MICCAI (2) 2015: 528-535 - [c33]Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu:
Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data. PRNI 2015: 57-60 - [i4]Israel D. Gebru, Xavier Alameda-Pineda, Florence Forbes, Radu Horaud:
EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. CoRR abs/1509.01509 (2015) - 2014
- [j16]Florence Forbes, Darren Wraith
:
A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering. Stat. Comput. 24(6): 971-984 (2014) - [c32]Aina Frau-Pascual, Thomas Vincent, Jennifer Sloboda, Philippe Ciuciu, Florence Forbes:
Physiologically Informed Bayesian Analysis of ASL fMRI Data. BAMBI 2014: 37-48 - [c31]Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu:
Model selection for hemodynamic brain parcellation in FMRI. EUSIPCO 2014: 31-35 - [c30]Antoine Deleforge, Florence Forbes, Radu Horaud:
Hyper-spectral image analysis with partially-latent regression. EUSIPCO 2014: 1572-1576 - [c29]Aina Frau-Pascual, Thomas Vincent, Florence Forbes, Philippe Ciuciu:
Hemodynamically informed parcellation of cerebral FMRI data. ICASSP 2014: 2079-2083 - [c28]Alexis Roche
, Florence Forbes:
Partial Volume Estimation in Brain MRI Revisited. MICCAI (1) 2014: 771-778 - [c27]Israel D. Gebru, Xavier Alameda-Pineda, Radu Horaud, Florence Forbes:
Audio-visual speaker localization via weighted clustering. MLSP 2014: 1-6 - [i3]Antoine Deleforge, Florence Forbes, Radu Horaud:
Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds. CoRR abs/1402.2683 (2014) - [i2]Antoine Deleforge, Florence Forbes, Sileye O. Ba, Radu Horaud:
Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies. CoRR abs/1409.8500 (2014) - 2013
- [j15]M. Charras-Garrido, Lamiae Azizi, Florence Forbes, Senan Doyle, Nathalie Peyrard, D. Abrial:
On the difficulty to delimit disease risk hot spots. Int. J. Appl. Earth Obs. Geoinformation 22: 99-105 (2013) - [j14]Lotfi Chaâri, Thomas Vincent, Florence Forbes, Michel Dojat
, Philippe Ciuciu:
Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach. IEEE Trans. Medical Imaging 32(5): 821-837 (2013) - [c26]Antoine Deleforge, Florence Forbes, Radu Horaud:
Variational EM for binaural sound-source separation and localization. ICASSP 2013: 76-80 - [c25]Thomas Vincent, Florence Forbes, Philippe Ciuciu:
Bayesian bold and perfusion source separation and deconvolution from functional ASL imaging. ICASSP 2013: 1003-1007 - [c24]Christine Bakhous, Florence Forbes, Thomas Vincent, Michel Dojat
, Philippe Ciuciu:
Variational variable selection to assess experimental condition relevance in event-related fMRI. ISBI 2013: 1508-1511 - [c23]Thomas Vincent, Jan Warnking, Marjorie Villien, Alexandre Krainik, Philippe Ciuciu, Florence Forbes:
Bayesian Joint Detection-Estimation of Cerebral Vasoreactivity from ASL fMRI Data. MICCAI (2) 2013: 616-624 - [c22]Vasil Khalidov, Florence Forbes, Radu Horaud:
Alignment of binocular-binaural data using a moving audio-visual target. MMSP 2013: 242-247 - [i1]Antoine Deleforge, Florence Forbes, Radu Horaud:
Mapping Learning with Partially Latent Output. CoRR abs/1308.2302 (2013) - 2012
- [c21]A. Kai Qin
, Federico Raimondo
, Florence Forbes, Yew-Soon Ong
:
An improved CUDA-based implementation of differential evolution on GPU. GECCO 2012: 991-998 - [c20]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu:
Robust voxel-wise joint detection estimation of brain activity in fMRI. ICIP 2012: 1273-1276 - [c19]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu:
Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework. MICCAI (3) 2012: 180-188 - 2011
- [j13]Matthieu Vignes, Juliette Blanchet, Damien Leroux, Florence Forbes:
SpaCEM3: a software for biological module detection when data is incomplete, high dimensional and dependent. Bioinform. 27(6): 881-882 (2011) - [j12]Vasil Khalidov, Florence Forbes, Radu Horaud:
Conjugate Mixture Models for Clustering Multimodal Data. Neural Comput. 23(2): 517-557 (2011) - [j11]Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang:
Rigid and Articulated Point Registration with Expectation Conditional Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 33(3): 587-602 (2011) - [j10]Laurent Risser, Thomas Vincent, Florence Forbes, Jérôme Idier, Philippe Ciuciu:
Min-max Extrapolation Scheme for Fast Estimation of 3D Potts Field Partition Functions. Application to the Joint Detection-Estimation of Brain Activity in fMRI. J. Signal Process. Syst. 65(3): 325-338 (2011) - [c18]A. Kai Qin
, Florence Forbes:
Dynamic regional harmony search with opposition and local learning. GECCO (Companion) 2011: 53-54 - [c17]A. Kai Qin
, Florence Forbes:
Harmony search with differential mutation based pitch adjustment. GECCO 2011: 545-552 - [c16]Xavier Alameda-Pineda, Vasil Khalidov, Radu Horaud, Florence Forbes:
Finding audio-visual events in informal social gatherings. ICMI 2011: 247-254 - [c15]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Michel Dojat
, Philippe Ciuciu:
Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. MICCAI (2) 2011: 260-268 - 2010
- [b2]Florence Forbes:
Models and inference for structured stochastic systems. (Modèles et inférence pour des systèmes stochastiques structurés). Grenoble Alpes University, France, 2010 - [c14]Ramya Narasimha, Elise Arnaud, Florence Forbes, Radu Horaud:
Disparity and normal estimation through alternating maximization. ICIP 2010: 2969-2972 - [c13]Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat
:
Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. ISBI 2010: 69-72 - [c12]Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat:
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. AISTATS 2010: 225-232
2000 – 2009
- 2009
- [j9]Benoit Scherrer
, Michel Dojat
, Florence Forbes, Catherine Garbay:
Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans. Artif. Intell. Medicine 46(1): 81-95 (2009) - [j8]Juliette Blanchet, Florence Forbes, Sophie Chopart, Lamiae Azizi:
Le logiciel SpaCEM3 pour la classification de données complexes. Monde des Util. Anal. Données 40: 147-166 (2009) - [j7]Matthieu Vignes, Florence Forbes:
Gene Clustering via Integrated Markov Models Combining Individual and Pairwise Features. IEEE ACM Trans. Comput. Biol. Bioinform. 6(2): 260-270 (2009) - [j6]Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat
:
Distributed Local MRF Models for Tissue and Structure Brain Segmentation. IEEE Trans. Medical Imaging 28(8): 1278-1295 (2009) - [c11]Benoit Scherrer, Florence Forbes, Michel Dojat
:
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation. MICCAI (1) 2009: 540-548 - [c10]Patrick Loiseau, Paulo Gonçalves, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet:
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data. SIGMETRICS/Performance 2009: 263-274 - 2008
- [j5]Juliette Blanchet, Florence Forbes:
Triplet Markov Fields for the Classification of Complex Structure Data. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1055-1067 (2008) - [c9]Ramya Narasimha, Elise Arnaud, Florence Forbes, Radu Horaud:
Cooperative disparity and object boundary estimation. ICIP 2008: 1784-1787 - [c8]Elise Arnaud, Heidi Christensen, Yan-Chen Lu, Jon Barker
, Vasil Khalidov, Miles E. Hansard, Bertrand Holveck, Hervé Mathieu, Ramya Narasimha, Elise Taillant, Florence Forbes, Radu Horaud:
The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements. ICMI 2008: 109-116 - [c7]Vasil Khalidov, Florence Forbes, Miles E. Hansard, Elise Arnaud, Radu Horaud:
Detection and localization of 3d audio-visual objects using unsupervised clustering. ICMI 2008: 217-224 - [c6]Vasil Khalidov, Florence Forbes, Miles E. Hansard, Elise Arnaud, Radu Horaud:
Audio-Visual Clustering for 3D Speaker Localization. MLMI 2008: 86-97 - 2007
- [j4]Florence Forbes, Gersende Fort:
Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields. IEEE Trans. Image Process. 16(3): 824-837 (2007) - [c5]Benoit Scherrer, Michel Dojat
, Florence Forbes, Catherine Garbay:
MRF Agent Based Segmentation: Application to MRI Brain Scans. AIME 2007: 13-23 - [c4]Benoit Scherrer, Michel Dojat
, Florence Forbes, Catherine Garbay:
LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans. MICCAI (1) 2007: 219-227 - 2006
- [c3]Guillaume Dewaele, Frederic Devernay
, Radu Horaud, Florence Forbes:
The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces. ECCV (3) 2006: 578-591 - 2005
- [c2]Juliette Blanchet, Florence Forbes, Cordelia Schmid:
Markov Random Fields for Textures Recognition with Local Invariant Regions and their Geometric Relationships. BMVC 2005 - [c1]Juliette Blanchet, Florence Forbes, Cordelia Schmid:
Modèles markoviens pour l'organisation spatiale de descripteurs d'images. CAP 2005: 113-126 - 2003
- [j3]Florence Forbes, Nathalie Peyrard:
Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations. IEEE Trans. Pattern Anal. Mach. Intell. 25(9): 1089-1101 (2003) - [j2]Gilles Celeux, Florence Forbes, Nathalie Peyrard:
EM procedures using mean field-like approximations for Markov model-based image segmentation. Pattern Recognit. 36(1): 131-144 (2003)
1990 – 1999
- 1998
- [j1]Florence Forbes, Bernard Ycart:
Counting stable sets on Cartesian products of graphs. Discret. Math. 186(1-3): 105-116 (1998) - 1996
- [b1]Florence Forbes:
Modèles markoviens de ressources partagées. (Markovian models for resource sharing). Joseph Fourier University, Grenoble, France, 1996
Coauthor Index

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