Emmanuel Monfrini

46 papers C 2Misc 5Journal 22Unranked 17
YearRankTypeTitle / Venue / Authors
2023 J jnl
Equivalence between LC-CRF and HMM, and Discriminative Computing of HMM-Based MPM and MAP.
Algorithms
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2023 J jnl
Linear chain conditional random fields, hidden Markov models, and related classifiers.
CoRR
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2022 J jnl
Deriving discriminative classifiers from generative models.
CoRR
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2022 C conf
Improving Usual Naive Bayes Classifier Performances with Neural Naive Bayes based Models.
ICPRAM
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2022 — conf
On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains.
ICAART (3)
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2021 — conf
Fast Image Segmentation with Contextual Scan and Markov Chains.
EUSIPCO
Clément Fernandes, Thomas Monti, Emmanuel Monfrini, Wojciech Pieczynski
2021 — conf
Highly Fast Text Segmentation With Pairwise Markov Chains.
CIST
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
2021 J jnl
Highly Fast Text Segmentation With Pairwise Markov Chains.
CoRR
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
2021 J jnl
Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models.
CoRR
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2021 — conf
Introducing the Hidden Neural Markov Chain Framework.
ICAART (2)
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
2021 J jnl
Introducing the Hidden Neural Markov Chain framework.
CoRR
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
2021 J jnl
On equivalence between linear-chain conditional random fields and hidden Markov chains.
CoRR
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2021 Misc conf
Unsupervised Image Segmentation with Spatial Triplet Markov Trees.
ICASSP
Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
2021 J jnl
Unsupervised image segmentation with Gaussian Pairwise Markov Fields.
Comput. Stat. Data Anal.
Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet
2021 Misc conf
Using the Naive Bayes as a discriminative model.
ICMLC
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2020 J jnl
Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging.
CoRR
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon, Wojciech Pieczynski
2020 — conf
Improved centerline tracking for new descriptors of atherosclerotic aortas.
IPTA
Hugo Gangloff, Emmanuel Monfrini, Mohamed Zied Ghariani, Mickaël Ohana, Christophe Collet, Nabil Chakfé
2020 — conf
Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images.
IPTA
Hugo Gangloff, Emmanuel Monfrini, Christophe Collet, Nabil Chakfé
2020 J jnl
Using the Naive Bayes as a discriminative classifier.
CoRR
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
2019 J jnl
Pairwise Markov fields for segmentation in astronomical hyperspectral images.
Signal Process.
Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet
2018 J jnl
Assessing the segmentation performance of pairwise and triplet Markov models.
Signal Process.
Ivan Gorynin, Hugo Gangloff, Emmanuel Monfrini, Wojciech Pieczynski
2018 J jnl
Oriented Triplet Markov Fields.
Pattern Recognit. Lett.
Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet
2018 — conf
Triplet Markov Trees for Image Segmentation.
SSP
Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet
2017 J jnl
Extended faint source detection in astronomical hyperspectral images.
Signal Process.
Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet
2017 J jnl
Fast Filtering in Switching Approximations of Nonlinear Markov Systems With Applications to Stochastic Volatility.
IEEE Trans. Autom. Control.
Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski
2017 J jnl
Fast smoothing in switching approximations of non-linear and non-Gaussian models.
Comput. Stat. Data Anal.
Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski
2017 — conf
Pairwise Markov models for stock index forecasting.
EUSIPCO
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
2017 — conf
Triplet Markov Chains Based- Estimation of Nonstationary Latent Variables Hidden with Independent Noise.
ICEIS (Revised Selected Papers)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Kadda Beghdad Bey, Ahmed Habbouchi, Wojciech Pieczynski
2017 — conf
Unsupervised Segmentation of Nonstationary Data using Triplet Markov Chains.
ICEIS (1)
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Kadda Beghdad Bey, Ahmed Habbouchi, Wojciech Pieczynski
2017 Misc conf
Unsupervised learning of asymmetric high-order autoregressive stochastic volatility model.
ICASSP
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
2016 Misc conf
Detection of faint extended sources in hyperspectral data and application to HDF-S MUSE observations.
ICASSP
Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet
2016 — conf
Fast filtering with new sparse transition Markov chains.
SSP
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
2016 J jnl
Markov Chains for unsupervised segmentation of degraded NIR iris images for person recognition.
Pattern Recognit. Lett.
Meriem Yahiaoui, Emmanuel Monfrini, Bernadette Dorizzi
2016 — conf
Oriented Triplet Markov fields for hyperspectral image segmentation.
WHISPERS
Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet
2016 — conf
Unsupervised learning of Markov-switching stochastic volatility with an application to market data.
MLSP
Ivan Gorynin, Emmanuel Monfrini, Wojciech Pieczynski
2015 — conf
2-Step robust vertebra segmentation.
IPTA
Jean-Baptiste Courbot, Edmond Rust, Emmanuel Monfrini, Christophe Collet
2015 — conf
Exact fast smoothing in switching models with application to stochastic volatility.
EUSIPCO
Ivan Gorynin, Stéphane Derrode, Emmanuel Monfrini, Wojciech Pieczynski
2014 — conf
Implementation of Unsupervised Statistical Methods for Low-Quality Iris Segmentation.
SITIS
Meriem Yahiaoui, Emmanuel Monfrini, Bernadette Dorizzi
2014 J jnl
Phasic Triplet Markov Chains.
IEEE Trans. Pattern Anal. Mach. Intell.
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski, Amar Aissani
2012 J jnl
Dempster-Shafer fusion of multisensor signals in nonstationary Markovian context.
EURASIP J. Adv. Signal Process.
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski, Amar Aïssani
2012 J jnl
Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions.
IEEE Signal Process. Lett.
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski
2012 — conf
Unsupervised segmentation of nonstationary pairwise Markov Chains using evidential priors.
EUSIPCO
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski
2011 J jnl
A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies.
Informatica
Yann Guermeur, Emmanuel Monfrini
2011 Misc conf
Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence.
ICASSP
François Desbouvries, Yohan Petetin, Emmanuel Monfrini
2011 C conf
Unsupervised segmentation of switching pairwise Markov chains.
ISPA
Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski
2008 J jnl
A Quadratic Loss Multi-Class SVM
CoRR
Emmanuel Monfrini, Yann Guermeur