Florence Forbes

135 papers A* 3A 4B 9C 1Misc 3Journal 69Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An analysis of distributional reinforcement learning with Gaussian mixtures. Trans. Mach. Learn. Res. Mathis Antonetti, Henrique Donâncio, Florence Forbes
2026	J	`jnl`	Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts. CoRR TrungKhang Tran, TrungTin Nguyen, Gersende Fort, Tung Doan, Hien Duy Nguyen, Binh T. Nguyen, Florence Forbes, Christopher C. Drovandi
2026	J	`jnl`	Sequential Sample Average Majorization-Minimization. Stat. Comput. Gersende Fort, Florence Forbes, Hien Duy Nguyen
2025	J	`jnl`	Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design. CoRR Jacopo Iollo, Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
2025	A*	`conf`	Bayesian Experimental Design Via Contrastive Diffusions. ICLR Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes
2025	—	`conf`	Cluster Globally, Reduce Locally: Scalable Efficient Dictionary Compression for Magnetic Resonance Fingerprinting. ISBI Geoffroy Oudoumanessah, Thomas Coudert, Luc Meyer, Aurélien Delphin, Thomas Christen, Michel Dojat, Carole Lartizien, Florence Forbes
2025	J	`jnl`	Flow Matching for Robust Simulation-Based Inference under Model Misspecification. CoRR Pierre-Louis Ruhlmann, Pedro L. C. Rodrigues, Michael Arbel, Florence Forbes
2025	J	`jnl`	Natural Variational Annealing for Multimodal Optimization. CoRR Tâm Le Minh, Julyan Arbel, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Florence Forbes
2024	J	`jnl`	Bayesian Experimental Design via Contrastive Diffusions. CoRR Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes
2024	B	`conf`	Bayesian Likelihood Free Inference using Mixtures of Experts. IJCNN Hien Duy Nguyen, TrungTin Nguyen, Florence Forbes
2024	J	`jnl`	Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach. CoRR Henrique Donâncio, Antoine Barrier, Leah F. South, Florence Forbes
2024	J	`jnl`	Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. CoRR Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini
2024	J	`jnl`	Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. Trans. Mach. Learn. Res. Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini
2024	—	`conf`	Normalizing Flows with Task-Specific Pre-Training for Unsupervised Anomaly Detection on Engineering Structures. EUSIPCO Brice Marc, Philippe Foucher, Florence Forbes, Pierre Charbonnier
2024	A*	`conf`	PASOA- PArticle baSed Bayesian Optimal Adaptive design. ICML Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes
2024	J	`jnl`	PASOA- PArticle baSed Bayesian Optimal Adaptive design. CoRR Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes
2024	—	`conf`	Robust Conformal Volume Estimation in 3D Medical Images. MICCAI (10) Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2024	J	`jnl`	Robust Conformal Volume Estimation in 3D Medical Images. CoRR Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2024	J	`jnl`	Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis. Artif. Intell. Medicine Benjamin Lambert, Florence Forbes, Senan Doyle, Harmonie Dehaene, Michel Dojat
2023	—	`conf`	Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat
2023	J	`jnl`	Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification. CoRR Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat
2023	—	`conf`	Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients. ISBI Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien
2023	J	`jnl`	Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patients. CoRR Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien
2023	—	`conf`	Multi-layer Aggregation as a Key to Feature-Based OOD Detection. UNSURE@MICCAI Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2023	J	`jnl`	Multi-layer Aggregation as a key to feature-based OOD detection. CoRR Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2023	A*	`conf`	Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. NeurIPS Yuchen Bai, Jean-Baptiste Durand, Grégoire Vincent, Florence Forbes
2023	J	`jnl`	Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. CoRR Yuchen Bai, Jean-Baptiste Durand, Florence Forbes, Grégoire Vincent
2023	—	`conf`	Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. MICCAI (3) Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
2023	J	`jnl`	Towards frugal unsupervised detection of subtle abnormalities in medical imaging. CoRR Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes
2023	—	`conf`	TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. UNSURE@MICCAI Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2023	J	`jnl`	TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images. CoRR Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2022	—	`conf`	A Pre-screening Approach for Faster Bayesian Network Structure Learning. ECML/PKDD (5) Thibaud Rahier, Sylvain Marié, Florence Forbes
2022	—	`conf`	Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. iMIMIC@MICCAI Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
2022	J	`jnl`	Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust. CoRR Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
2022	J	`jnl`	Fast Bayesian inversion for high dimensional inverse problems. Stat. Comput. Benoit Kugler, Florence Forbes, Sylvain Douté
2022	J	`jnl`	Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. CoRR Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
2022	J	`jnl`	Subtle anomaly detection: Application to brain MRI analysis of Artif. Intell. Medicine Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Sara Meoni, Elena Moro, Michel Dojat
2022	J	`jnl`	Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors. Stat. Comput. Florence Forbes, Hien Duy Nguyen, TrungTin Nguyen, Julyan Arbel
2022	J	`jnl`	Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis. CoRR Benjamin Lambert, Florence Forbes, Alan Tucholka, Senan Doyle, Harmonie Dehaene, Michel Dojat
2021	J	`jnl`	A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. CoRR TrungTin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes
2021	J	`jnl`	A non-asymptotic penalization criterion for model selection in mixture of experts models. CoRR TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Florence Forbes
2021	J	`jnl`	Bayesian Inverse Regression for Vascular Magnetic Resonance Fingerprinting. IEEE Trans. Medical Imaging Fabien Boux, Florence Forbes, Julyan Arbel, Benjamin Lemasson, Emmanuel Luc Barbier
2021	J	`jnl`	Leveraging 3D Information in Unsupervised Brain MRI Segmentation. CoRR Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
2021	—	`conf`	Leveraging 3d Information In Unsupervised Brain Mri Segmentation. ISBI Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
2021	—	`conf`	Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients. MLCN@MICCAI Verónica Muñoz Ramírez, Nicolas Pinon, Florence Forbes, Carole Lartizien, Michel Dojat
2020	J	`jnl`	Approximate Bayesian Computation Via the Energy Statistic. IEEE Access Hien Duy Nguyen, Julyan Arbel, Hongliang Lü, Florence Forbes
2020	J	`jnl`	Bayesian nonparametric priors for hidden Markov random fields. Stat. Comput. Hongliang Lü, Julyan Arbel, Florence Forbes
2020	J	`jnl`	Conjugate Mixture Models for Clustering Multimodal Data. CoRR Vasil Khalidov, Florence Forbes, Radu Horaud
2020	—	`conf`	Deep Learning Models to Study the Early Stages of Parkinson's Disease. ISBI Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Michel Dojat
2020	J	`jnl`	Mini-batch learning of exponential family finite mixture models. Stat. Comput. Hien Duy Nguyen, Florence Forbes, Geoffrey J. McLachlan
2020	J	`jnl`	Rigid and Articulated Point Registration with Expectation Conditional Maximization. CoRR Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang
2020	—	`conf`	Unannounced Meal Detection for Artificial Pancreas Systems Using Extended Isolation Forest. EMBC Fei Zheng, Stéphane Bonnet, Emma Villeneuve, Maeva Doron, Aurore Lepecq, Florence Forbes
2019	J	`jnl`	Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model. Neurocomputing Hien D. Nguyen, Faicel Chamroukhi, Florence Forbes
2019	—	`conf`	No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients. MedInfo Verónica Muñoz Ramírez, Florence Forbes, Pierrick Coupé, Michel Dojat
2019	—	`conf`	Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. ISBI Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat
2019	—	`conf`	Structure Learning via Hadamard Product of Correlation and Partial Correlation Matrices. EUSIPCO Karina Ashurbekova, Sophie Achard, Florence Forbes
2018	J	`jnl`	Fully Automatic Lesion Localization and Characterization: Application to Brain Tumors Using Multiparametric Quantitative MRI Data. IEEE Trans. Medical Imaging Alexis Arnaud, Florence Forbes, Nicolas Coquery, Nora Collomb, Benjamin Lemasson, Emmanuel Luc Barbier
2018	J	`jnl`	Inverse regression approach to robust nonlinear high-to-low dimensional mapping. J. Multivar. Anal. Émeline Perthame, Florence Forbes, Antoine Deleforge
2017	J	`jnl`	A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation. Signal Process. Mohanad Albughdadi, Lotfi Chaâri, Jean-Yves Tourneret, Florence Forbes, Philippe Ciuciu
2017	—	`conf`	PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function. SciPy Jaime Arias, Philippe Ciuciu, Michel Dojat, Florence Forbes, Aina Frau-Pascual, Thomas Perret, Jan M. Warnking
2017	J	`jnl`	Student Sliced Inverse Regression. Comput. Stat. Data Anal. Alessandro Chiancone, Florence Forbes, Stéphane Girard
2017	—	`conf`	Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation. BrainLes@MICCAI Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat
2017	—	`conf`	Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes. BrainLes@MICCAI 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
2016	J	`jnl`	A Differential Evolution-Based Approach for Fitting a Nonlinear Biophysical Model to fMRI BOLD Data. IEEE J. Sel. Top. Signal Process. Pablo Mesejo, Sandrine Saillet, Olivier David, Christian G. Bénar, Jan M. Warnking, Florence Forbes
2016	J	`jnl`	A flexible and tractable class of one-factor copulas. Stat. Comput. Gildas Mazo, Stéphane Girard, Florence Forbes
2016	J	`jnl`	EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Israel Dejene Gebru, Xavier Alameda-Pineda, Florence Forbes, Radu Horaud
2016	—	`conf`	Multi-subject joint parcellation detection estimation in functional MRI. ISBI Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu
2016	—	`conf`	Rectified binaural ratio: A complex T-distributed feature for robust sound localization. EUSIPCO Antoine Deleforge, Florence Forbes
2016	J	`jnl`	Rectified binaural ratio: A complex T-distributed feature for robust sound localization. CoRR Antoine Deleforge, Florence Forbes
2015	J	`jnl`	A class of multivariate copulas based on products of bivariate copulas. J. Multivar. Anal. Gildas Mazo, Stéphane Girard, Florence Forbes
2015	J	`jnl`	Acoustic Space Learning for Sound-Source Separation and Localization on Binaural Manifolds. Int. J. Neural Syst. Antoine Deleforge, Florence Forbes, Radu Horaud
2015	—	`conf`	Assessment of Tissue Injury in Severe Brain Trauma. Brainles@MICCAI Christophe Maggia, Senan Doyle, Florence Forbes, Olivier Heck, Irène Troprès, Corentin Berthet, Yann Teyssier, Lionel Velly, Jean-François Payen, Michel Dojat
2015	—	`conf`	Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis. MICCAI (1) Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu
2015	J	`jnl`	EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis. CoRR Israel D. Gebru, Xavier Alameda-Pineda, Florence Forbes, Radu Horaud
2015	—	`conf`	Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization. MICCAI (2) Pablo Mesejo, Sandrine Saillet, Olivier David, Christian G. Bénar, Jan M. Warnking, Florence Forbes
2015	J	`jnl`	High-dimensional regression with gaussian mixtures and partially-latent response variables. Stat. Comput. Antoine Deleforge, Florence Forbes, Radu Horaud
2015	J	`jnl`	Hyper-Spectral Image Analysis With Partially Latent Regression and Spatial Markov Dependencies. IEEE J. Sel. Top. Signal Process. Antoine Deleforge, Florence Forbes, Sileye O. Ba, Radu Horaud
2015	J	`jnl`	Location and scale mixtures of Gaussians with flexible tail behaviour: Properties, inference and application to multivariate clustering. Comput. Stat. Data Anal. Darren Wraith, Florence Forbes
2015	—	`conf`	Physiological models comparison for the analysis of ASL FMRI data. ISBI Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu
2015	B	`conf`	Special session on trends & controversies in data science (TCDS). DSAA Florence Forbes, Wray L. Buntine
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 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 J. 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
2015	—	`conf`	Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data. PRNI Aina Frau-Pascual, Florence Forbes, Philippe Ciuciu
2014	J	`jnl`	A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering. Stat. Comput. Florence Forbes, Darren Wraith
2014	J	`jnl`	Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds. CoRR Antoine Deleforge, Florence Forbes, Radu Horaud
2014	—	`conf`	Audio-visual speaker localization via weighted clustering. MLSP Israel D. Gebru, Xavier Alameda-Pineda, Radu Horaud, Florence Forbes
2014	Misc	`conf`	Hemodynamically informed parcellation of cerebral FMRI data. ICASSP Aina Frau-Pascual, Thomas Vincent, Florence Forbes, Philippe Ciuciu
2014	J	`jnl`	Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies. CoRR Antoine Deleforge, Florence Forbes, Sileye O. Ba, Radu Horaud
2014	—	`conf`	Hyper-spectral image analysis with partially-latent regression. EUSIPCO Antoine Deleforge, Florence Forbes, Radu Horaud
2014	—	`conf`	Model selection for hemodynamic brain parcellation in FMRI. EUSIPCO Mohanad Albughdadi, Lotfi Chaâri, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu
2014	—	`conf`	Partial Volume Estimation in Brain MRI Revisited. MICCAI (1) Alexis Roche, Florence Forbes
2014	—	`conf`	Physiologically Informed Bayesian Analysis of ASL fMRI Data. BAMBI Aina Frau-Pascual, Thomas Vincent, Jennifer Sloboda, Philippe Ciuciu, Florence Forbes
2013	C	`conf`	Alignment of binocular-binaural data using a moving audio-visual target. MMSP Vasil Khalidov, Florence Forbes, Radu Horaud
2013	—	`conf`	Bayesian Joint Detection-Estimation of Cerebral Vasoreactivity from ASL fMRI Data. MICCAI (2) Thomas Vincent, Jan Warnking, Marjorie Villien, Alexandre Krainik, Philippe Ciuciu, Florence Forbes
2013	Misc	`conf`	Bayesian bold and perfusion source separation and deconvolution from functional ASL imaging. ICASSP Thomas Vincent, Florence Forbes, Philippe Ciuciu
2013	J	`jnl`	Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach. IEEE Trans. Medical Imaging Lotfi Chaâri, Thomas Vincent, Florence Forbes, Michel Dojat, Philippe Ciuciu
2013	J	`jnl`	Mapping Learning with Partially Latent Output. CoRR Antoine Deleforge, Florence Forbes, Radu Horaud
2013	J	`jnl`	On the difficulty to delimit disease risk hot spots. Int. J. Appl. Earth Obs. Geoinformation M. Charras-Garrido, Lamiae Azizi, Florence Forbes, Senan Doyle, Nathalie Peyrard, D. Abrial
2013	Misc	`conf`	Variational EM for binaural sound-source separation and localization. ICASSP Antoine Deleforge, Florence Forbes, Radu Horaud
2013	—	`conf`	Variational variable selection to assess experimental condition relevance in event-related fMRI. ISBI Christine Bakhous, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu
2012	A	`conf`	An improved CUDA-based implementation of differential evolution on GPU. GECCO A. K. Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong
2012	—	`conf`	Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework. MICCAI (3) Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu
2012	B	`conf`	Robust voxel-wise joint detection estimation of brain activity in fMRI. ICIP Lotfi Chaâri, Florence Forbes, Thomas Vincent, Philippe Ciuciu
2011	J	`jnl`	Conjugate Mixture Models for Clustering Multimodal Data. Neural Comput. Vasil Khalidov, Florence Forbes, Radu Horaud
2011	—	`conf`	Dynamic regional harmony search with opposition and local learning. GECCO (Companion) A. K. Qin, Florence Forbes
2011	B	`conf`	Finding audio-visual events in informal social gatherings. ICMI Xavier Alameda-Pineda, Vasil Khalidov, Radu Horaud, Florence Forbes
2011	A	`conf`	Harmony search with differential mutation based pitch adjustment. GECCO A. K. Qin, Florence Forbes
2011	J	`jnl`	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. Laurent Risser, Thomas Vincent, Florence Forbes, Jérôme Idier, Philippe Ciuciu
2011	J	`jnl`	Rigid and Articulated Point Registration with Expectation Conditional Maximization. IEEE Trans. Pattern Anal. Mach. Intell. Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang
2011	J	`jnl`	SpaCEM Bioinform. Matthieu Vignes, Juliette Blanchet, Damien Leroux, Florence Forbes
2011	—	`conf`	Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. MICCAI (2) Lotfi Chaâri, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu
2010	A	`conf`	A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. AISTATS Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat
2010	—	`conf`	Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. ISBI Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat
2010	B	`conf`	Disparity and normal estimation through alternating maximization. ICIP Ramya Narasimha, Elise Arnaud, Florence Forbes, Radu Horaud
2010	—	`book`	Models and inference for structured stochastic systems. (Modèles et inférence pour des systèmes stochastiques structurés). Florence Forbes
2009	—	`conf`	A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation. MICCAI (1) Benoit Scherrer, Florence Forbes, Michel Dojat
2009	J	`jnl`	Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans. Artif. Intell. Medicine Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay
2009	J	`jnl`	Distributed Local MRF Models for Tissue and Structure Brain Segmentation. IEEE Trans. Medical Imaging Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat
2009	J	`jnl`	Gene Clustering via Integrated Markov Models Combining Individual and Pairwise Features. IEEE ACM Trans. Comput. Biol. Bioinform. Matthieu Vignes, Florence Forbes
2009	J	`jnl`	Le logiciel SpaCEM3 pour la classification de données complexes. Monde des Util. Anal. Données Juliette Blanchet, Florence Forbes, Sophie Chopart, Lamiae Azizi
2009	—	`conf`	Maximum likelihood estimation of the flow size distribution tail index from sampled packet data. SIGMETRICS/Performance Patrick Loiseau, Paulo Gonçalves, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet
2008	—	`conf`	Audio-Visual Clustering for 3D Speaker Localization. MLMI Vasil Khalidov, Florence Forbes, Miles E. Hansard, Elise Arnaud, Radu Horaud
2008	B	`conf`	Cooperative disparity and object boundary estimation. ICIP Ramya Narasimha, Elise Arnaud, Florence Forbes, Radu Horaud
2008	B	`conf`	Detection and localization of 3d audio-visual objects using unsupervised clustering. ICMI Vasil Khalidov, Florence Forbes, Miles E. Hansard, Elise Arnaud, Radu Horaud
2008	B	`conf`	The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements. ICMI 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
2008	J	`jnl`	Triplet Markov Fields for the Classification of Complex Structure Data. IEEE Trans. Pattern Anal. Mach. Intell. Juliette Blanchet, Florence Forbes
2007	J	`jnl`	Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields. IEEE Trans. Image Process. Florence Forbes, Gersende Fort
2007	—	`conf`	LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans. MICCAI (1) Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay
2007	B	`conf`	MRF Agent Based Segmentation: Application to MRI Brain Scans. AIME Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay
2006	—	`conf`	The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces. ECCV (3) Guillaume Dewaele, Frederic Devernay, Radu Horaud, Florence Forbes
2005	A	`conf`	Markov Random Fields for Textures Recognition with Local Invariant Regions and their Geometric Relationships. BMVC Juliette Blanchet, Florence Forbes, Cordelia Schmid
2005	—	`conf`	Modèles markoviens pour l'organisation spatiale de descripteurs d'images. CAP Juliette Blanchet, Florence Forbes, Cordelia Schmid
2003	J	`jnl`	EM procedures using mean field-like approximations for Markov model-based image segmentation. Pattern Recognit. Gilles Celeux, Florence Forbes, Nathalie Peyrard
2003	J	`jnl`	Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations. IEEE Trans. Pattern Anal. Mach. Intell. Florence Forbes, Nathalie Peyrard
1998	J	`jnl`	Counting stable sets on Cartesian products of graphs. Discret. Math. Florence Forbes, Bernard Ycart
1996	—	`—`	Modèles markoviens de ressources partagées. (Markovian models for resource sharing). Florence Forbes