DeepAI

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.

Featured Researchers

Juan-Pablo Ortega
16 publications
Christophe Guyeux
15 publications
Jean-François Couchot
14 publications
Laurent Larger
9 publications
Clément Dombry
9 publications
Jacques M. Bahi
7 publications
Héber H. Arcolezi
7 publications
Célestin C. Kokonendji
6 publications
Yacouba Boubacar Maïnassara
6 publications
Michel Salomon
4 publications
Abdallah Makhoul
4 publications

∙ 08/20/2021

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

In Digital Holography (DH), it is crucial to extract the object distance...

Stéphane Cuenat, et al. ∙

∙ 02/16/2022

Processing the structure of documents: Logical Layout Analysis of historical newspapers in French

Background. In recent years, libraries and archives led important digiti...

Nicolas Gutehrlé, et al. ∙

∙ 05/05/2022

Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python

This paper introduces the Python package for multiple frequency estimat...

Héber H. Arcolezi, et al. ∙

∙ 11/08/2021

Improving the Utility of Locally Differentially Private Protocols for Longitudinal and Multidimensional Frequency Estimates

This paper investigates the problem of collecting multidimensional data ...

Héber H. Arcolezi, et al. ∙

∙ 12/05/2018

Estimation of multivariate asymmetric power GARCH models

It is now widely accepted that volatility models have to incorporate the...

Yacouba Boubacar Maïnassara, et al. ∙

∙ 11/21/2018

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...

Yacouba Boubacar Maïnassara, et al. ∙

∙ 02/08/2019

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 ...

Yacouba Boubacar Maïnassara, et al. ∙

∙ 06/22/2019

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

We introduce some new indexes to measure the departure of any multivaria...

Célestin C. Kokonendji, et al. ∙

∙ 08/23/2019

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

We introduce a new class of Poisson-exponential-Tweedie (PET) mixture in...

Rahma Abid, et al. ∙

∙ 01/28/2020

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...

Rahma Abid, et al. ∙

∙ 05/21/2020

Multi-agent model for risk prediction in surgery

Risk management resulting from the actions and states of the different e...

Bruno Perez, et al. ∙

∙ 10/29/2021

An SDP dual relaxation for the Robust Shortest Path Problem with ellipsoidal uncertainty: Pierra's decomposition method and a new primal Frank-Wolfe-type heuristics for duality

This work addresses the Robust counterpart of the Shortest Path Problem ...

Chifaa Al Dahik, et al. ∙

∙ 02/18/2022

Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths

A modified gamma kernel should not be automatically preferred to the sta...

Sobom M. Somé, et al. ∙

∙ 02/21/2022

Asymptotic properties of the normalized discrete associated-kernel estimator for probability mass function

Discrete kernel smoothing is now gaining importance in nonparametric sta...

Youssef Esstafa, et al. ∙

∙ 05/09/2022

Mathematical Properties of Continuous Ranked Probability Score Forecasting

The theoretical advances on the properties of scoring rules over the pas...

Romain Pic, et al. ∙

∙ 07/19/2022

Group Validation in Recommender Systems: Framework for Multi-layer Performance Evaluation

Interpreting the performance results of models that attempt to realize u...

Wissam Al Jurdi, et al. ∙

∙ 11/21/2022

The Berlekamp-Massey Algorithm revisited

We propose a slight modification of the Berlekamp-Massey Algorithm for o...

Nadia Ben Atti, et al. ∙

∙ 06/25/2017

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

In this paper, we present a toolbox for a specific optimization problem ...

Régis Garnier, et al. ∙

∙ 05/17/2018

Fast, asymptotically efficient, recursive estimation in a Riemannian manifold

Stochastic optimisation in Riemannian manifolds, especially the Riemanni...

Jialun Zhou, et al. ∙

∙ 06/26/2018

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...

Cardot Hervé, et al. ∙

∙ 05/17/2018

Recursive parameter estimation in a Riemannian manifold

This report states and proves a set of propositions concerning the conve...

Jialun Zhou, et al. ∙

∙ 04/03/2018

Average performance analysis of the stochastic gradient method for online PCA

This paper studies the complexity of the stochastic gradient algorithm f...

Stéphane Chrétien, et al. ∙

∙ 01/24/2018

Estimating RCARMA models with uncorrelated but non-independent error terms

In this paper we derive the asymptotic properties of the least squares e...

Yacouba Boubacar Maïnassara, et al. ∙

∙ 01/17/2018

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

Packet routing in nanonetworks requires novel approaches, which can cope...

A. Tsioliaridou, et al. ∙

∙ 08/20/2017

An improved watermarking scheme for Internet applications

In this paper, a data hiding scheme ready for Internet applications is p...

Christophe Guyeux, et al. ∙

∙ 12/26/2017

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

We revisit multivariate extreme value theory modeling by emphasizing mul...

Zhen Wai Olivier Ho, et al. ∙

∙ 01/23/2011

Building a Chaotic Proved Neural Network

Chaotic neural networks have received a great deal of attention these la...

Jacques M. Bahi, et al. ∙

∙ 06/29/2016

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...

Stéphane Chrétien, et al. ∙

∙ 06/29/2016

Small coherence implies the weak Null Space Property

In the Compressed Sensing community, it is well known that given a matri...

Stéphane Chrétien, et al. ∙

∙ 12/17/2014

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

In computational biology and bioinformatics, the manner to understand ev...

Bassam AlKindy, et al. ∙

∙ 04/20/2015

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...

Bassam AlKindy, et al. ∙

∙ 08/01/2015

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...

Lyudmila Grigoryeva, et al. ∙

∙ 10/13/2015

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...

Lyudmila Grigoryeva, et al. ∙