Université de Franche-Comté

∙ Besançon , France ∙ 0 followers

The University of Franche-Comté (UFC) is an institution of higher education and multidisciplinary research. It offers training courses (DUT, Bachelor's, Master's and PhD) and has 27 research laboratories.

Convolutional Neural Network (CNN) vs Visual Transformer (ViT) for Digital Holography

In Digital Holography (DH), it is crucial to extract the object distance...
08/20/2021 ∙ by Stéphane Cuenat, et al. ∙ 22 ∙ share

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Finding optimal finite biological sequences over finite alphabets: the OptiFin toolbox

In this paper, we present a toolbox for a specific optimization problem ...
06/25/2017 ∙ by Régis Garnier, et al. ∙ 0 ∙ share

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Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals

This paper addresses the reservoir design problem in the context of dela...
10/13/2015 ∙ by Lyudmila Grigoryeva, et al. ∙ 0 ∙ share

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Quantitative evaluation of the performance of discrete-time reservoir computers in the forecasting, filtering, and reconstruction of stochastic stationary signals

This paper extends the notion of information processing capacity for non...
08/01/2015 ∙ by Lyudmila Grigoryeva, et al. ∙ 0 ∙ share

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Hybrid Genetic Algorithm and Lasso Test Approach for Inferring Well Supported Phylogenetic Trees based on Subsets of Chloroplastic Core Genes

The amount of completely sequenced chloroplast genomes increases rapidly...
04/20/2015 ∙ by Bassam AlKindy, et al. ∙ 0 ∙ share

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Gene Similarity-based Approaches for Determining Core-Genes of Chloroplasts

In computational biology and bioinformatics, the manner to understand ev...
12/17/2014 ∙ by Bassam AlKindy, et al. ∙ 0 ∙ share

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Small coherence implies the weak Null Space Property

In the Compressed Sensing community, it is well known that given a matri...
06/29/2016 ∙ by Stéphane Chrétien, et al. ∙ 0 ∙ share

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A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering

This paper proposes a variant of the method of Guédon and Verhynin for e...
06/29/2016 ∙ by Stéphane Chrétien, et al. ∙ 0 ∙ share

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Building a Chaotic Proved Neural Network

Chaotic neural networks have received a great deal of attention these la...
01/23/2011 ∙ by Jacques M. Bahi, et al. ∙ 0 ∙ share

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Simple models for multivariate regular variations and the Hüsler-Reiss Pareto distribution

We revisit multivariate extreme value theory modeling by emphasizing mul...
12/26/2017 ∙ by Zhen Wai Olivier Ho, et al. ∙ 0 ∙ share

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An improved watermarking scheme for Internet applications

In this paper, a data hiding scheme ready for Internet applications is p...
08/20/2017 ∙ by Christophe Guyeux, et al. ∙ 0 ∙ share

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Packet Routing in 3D Nanonetworks: A Lightweight, Linear-path Scheme

Packet routing in nanonetworks requires novel approaches, which can cope...
01/17/2018 ∙ by A. Tsioliaridou, et al. ∙ 0 ∙ share

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Estimating RCARMA models with uncorrelated but non-independent error terms

In this paper we derive the asymptotic properties of the least squares e...
01/24/2018 ∙ by Yacouba Boubacar Maïnassara, et al. ∙ 0 ∙ share

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Average performance analysis of the stochastic gradient method for online PCA

This paper studies the complexity of the stochastic gradient algorithm f...
04/03/2018 ∙ by Stéphane Chrétien, et al. ∙ 0 ∙ share

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Recursive parameter estimation in a Riemannian manifold

This report states and proves a set of propositions concerning the conve...
05/17/2018 ∙ by Jialun Zhou, et al. ∙ 0 ∙ share

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Conditional bias robust estimation of the total of curve data by sampling in a finite population: an illustration on electricity load curves

For marketing or power grid management purposes, many studies based on t...
06/26/2018 ∙ by Cardot Hervé, et al. ∙ 0 ∙ share

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Fast, asymptotically efficient, recursive estimation in a Riemannian manifold

Stochastic optimisation in Riemannian manifolds, especially the Riemanni...
05/17/2018 ∙ by Jialun Zhou, et al. ∙ 0 ∙ share

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Portmanteau test for the asymmetric power GARCH model when the power is unknown

It is now widely accepted that, to model the dynamics of daily financial...
11/21/2018 ∙ by Yacouba Boubacar Maïnassara, et al. ∙ 0 ∙ share

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Estimation of multivariate asymmetric power GARCH models

It is now widely accepted that volatility models have to incorporate the...
12/05/2018 ∙ by Yacouba Boubacar Maïnassara, et al. ∙ 0 ∙ share

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Distribution of residual autocorrelations for multiplicative seasonal ARMA models with uncorrelated but non-independent error terms

In this paper we consider portmanteau tests for testing the adequacy of ...
02/08/2019 ∙ by Yacouba Boubacar Maïnassara, et al. ∙ 0 ∙ share

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Relative variation indexes for multivariate continuous distributions on [0,∞)^k and extensions

We introduce some new indexes to measure the departure of any multivaria...
06/22/2019 ∙ by Célestin C. Kokonendji, et al. ∙ 0 ∙ share

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On Poisson-exponential-Tweedie models for ultra-overdispersed data

We introduce a new class of Poisson-exponential-Tweedie (PET) mixture in...
08/23/2019 ∙ by Rahma Abid, et al. ∙ 0 ∙ share

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Discriminating between and within (semi)continuous classes of both Tweedie and geometric Tweedie models

In both Tweedie and geometric Tweedie models, the common power parameter...
01/28/2020 ∙ by Rahma Abid, et al. ∙ 0 ∙ share

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Multi-agent model for risk prediction in surgery

Risk management resulting from the actions and states of the different e...
05/21/2020 ∙ by Bruno Perez, et al. ∙ 0 ∙ share

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Université de Franche-Comté

Featured Researchers

Juan-Pablo Ortega

Christophe Guyeux

Laurent Larger

Jacques M. Bahi

Jean-François Couchot

Clément Dombry

Yacouba Boubacar Maïnassara

Michel Salomon

Zhen Wai Olivier Ho

Bruno Saussereau

Célestin C. Kokonendji

Convolutional Neural Network (CNN) vs Visual Transformer (ViT) for Digital Holography

Finding optimal finite biological sequences over finite alphabets: the OptiFin toolbox

Nonlinear memory capacity of parallel time-delay reservoir computers in the processing of multidimensional signals

Quantitative evaluation of the performance of discrete-time reservoir computers in the forecasting, filtering, and reconstruction of stochastic stationary signals

Hybrid Genetic Algorithm and Lasso Test Approach for Inferring Well Supported Phylogenetic Trees based on Subsets of Chloroplastic Core Genes

Gene Similarity-based Approaches for Determining Core-Genes of Chloroplasts

Small coherence implies the weak Null Space Property

A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering

Building a Chaotic Proved Neural Network

Simple models for multivariate regular variations and the Hüsler-Reiss Pareto distribution

An improved watermarking scheme for Internet applications

Packet Routing in 3D Nanonetworks: A Lightweight, Linear-path Scheme

Estimating RCARMA models with uncorrelated but non-independent error terms

Average performance analysis of the stochastic gradient method for online PCA

Recursive parameter estimation in a Riemannian manifold

Conditional bias robust estimation of the total of curve data by sampling in a finite population: an illustration on electricity load curves

Fast, asymptotically efficient, recursive estimation in a Riemannian manifold

Portmanteau test for the asymmetric power GARCH model when the power is unknown

Estimation of multivariate asymmetric power GARCH models

Distribution of residual autocorrelations for multiplicative seasonal ARMA models with uncorrelated but non-independent error terms

Relative variation indexes for multivariate continuous distributions on [0,∞)^k and extensions

On Poisson-exponential-Tweedie models for ultra-overdispersed data

Discriminating between and within (semi)continuous classes of both Tweedie and geometric Tweedie models

Multi-agent model for risk prediction in surgery