Emmanuel Monfrini

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 35

Top Topics

Image Segmentation

Conditional Random Fields

Top Venues

Signal Process.

Publications

Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
Equivalence between LC-CRF and HMM, and Discriminative Computing of HMM-Based MPM and MAP. Algorithms 16 (3) (2023)
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
Linear chain conditional random fields, hidden Markov models, and related classifiers. CoRR (2023)
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
Deriving discriminative classifiers from generative models. CoRR (2022)
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models. ICPRAM (2022)
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains. ICAART (3) (2022)
Clément Fernandes, Thomas Monti, Emmanuel Monfrini, Wojciech Pieczynski
Fast Image Segmentation with Contextual Scan and Markov Chains. EUSIPCO (2021)
Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
Unsupervised Image Segmentation with Spatial Triplet Markov Trees. ICASSP (2021)
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
Introducing the Hidden Neural Markov Chain framework. CoRR (2021)
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
Highly Fast Text Segmentation With Pairwise Markov Chains. CIST (2021)
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models. CoRR (2021)
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
Highly Fast Text Segmentation With Pairwise Markov Chains. CoRR (2021)
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
Introducing the Hidden Neural Markov Chain Framework. ICAART (2) (2021)
Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
Unsupervised image segmentation with Gaussian Pairwise Markov Fields. Comput. Stat. Data Anal. 158 (2021)
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
On equivalence between linear-chain conditional random fields and hidden Markov chains. CoRR (2021)
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
Using the Naive Bayes as a discriminative model. ICMLC (2021)
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
Using the Naive Bayes as a discriminative classifier. CoRR (2020)
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging. CoRR (2020)
Hugo Gangloff, Emmanuel Monfrini, Christophe Collet, Nabil Chakfé
Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images. IPTA (2020)
Hugo Gangloff, Emmanuel Monfrini, Mohamed Zied Ghariani, Mickaël Ohana, Christophe Collet, Nabil Chakfé
Improved centerline tracking for new descriptors of atherosclerotic aortas. IPTA (2020)
Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet
Pairwise Markov fields for segmentation in astronomical hyperspectral images. Signal Process. 163 (2019)
Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet
Oriented Triplet Markov Fields. Pattern Recognit. Lett. 103 (2018)
Ivan Gorynin, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski
Assessing the segmentation performance of pairwise and triplet Markov models. Signal Process. 145 (2018)
Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet
Triplet Markov Trees for Image Segmentation. SSP (2018)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Kadda Beghdad Bey, Ahmed Habbouchi, Wojciech Pieczynski
Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noise. ICEIS (Revised Selected Papers) (2017)
Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet
Extended faint source detection in astronomical hyperspectral images. Signal Process. 135 (2017)
Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski
Fast Filtering in Switching Approximations of Nonlinear Markov Systems With Applications to Stochastic Volatility. IEEE Trans. Autom. Control. 62 (2) (2017)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Kadda Beghdad Bey, Ahmed Habbouchi, Wojciech Pieczynski
Unsupervised Segmentation of Nonstationary Data using Triplet Markov Chains. ICEIS (1) (2017)
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model. ICASSP (2017)
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
Pairwise Markov models for stock index forecasting. EUSIPCO (2017)
Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski
Fast smoothing in switching approximations of non-linear and non-Gaussian models. Comput. Stat. Data Anal. 114 (2017)
Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet
Detection of faint extended sources in hyperspectral data and application to HDF-S MUSE observations. ICASSP (2016)
Meriem Yahiaoui, Emmanuel Monfrini, Bernadette Dorizzi
Markov Chains for unsupervised segmentation of degraded NIR iris images for person recognition. Pattern Recognit. Lett. 82 (2016)
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
Unsupervised learning of Markov-switching stochastic volatility with an application to market data. MLSP (2016)
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
Fast filtering with new sparse transition Markov chains. SSP (2016)
Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet
Oriented Triplet Markov fields for hyperspectral image segmentation. WHISPERS (2016)
Jean-Baptiste Courbot, Edmond Rust, Emmanuel Monfrini, Christophe Collet
2-Step robust vertebra segmentation. IPTA (2015)
Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski
Exact fast smoothing in switching models with application to stochastic volatility. EUSIPCO (2015)
Meriem Yahiaoui, Emmanuel Monfrini, Bernadette Dorizzi
Implementation of Unsupervised Statistical Methods for Low-Quality Iris Segmentation. SITIS (2014)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski, Amar Aissani
Phasic Triplet Markov Chains. IEEE Trans. Pattern Anal. Mach. Intell. 36 (11) (2014)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski
Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions. IEEE Signal Process. Lett. 19 (10) (2012)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski
Unsupervised segmentation of nonstationary pairwise Markov Chains using evidential priors. EUSIPCO (2012)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski, Amar Aïssani
Dempster-Shafer fusion of multisensor signals in nonstationary Markovian context. EURASIP J. Adv. Signal Process. 2012 (2012)
Yann Guermeur, Emmanuel Monfrini
A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies. Informatica 22 (1) (2011)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski
Unsupervised segmentation of switching pairwise Markov chains. ISPA (2011)
François Desbouvries, Yohan Petetin, Emmanuel Monfrini
Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence. ICASSP (2011)
Emmanuel Monfrini, Yann Guermeur
A Quadratic Loss Multi-Class SVM CoRR (2008)