Raphaël Couturier

Raphaël Couturier

Université de Franche-Comté

H-index: 35

Europe-France

About Raphaël Couturier

Raphaël Couturier, With an exceptional h-index of 35 and a recent h-index of 26 (since 2020), a distinguished researcher at Université de Franche-Comté, specializes in the field of Deep Learning, Security, GPU, Parallel Computing, Sensor networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

TSCAPE: time series clustering with curve analysis and projection on an Euclidean space

A deep learning object detection method to improve cluster analysis of two-dimensional data

Simultaneous encryption and authentication of messages over GPUs

The Theory of Statistical Implicative Analysis: Or the Implausibility of Falsehood... when the Exception Confirms the Rule

Characterization of a driven two-level quantum system by supervised learning

Deep learning and gradient boosting for urban environmental noise monitoring in smart cities

Digital holographic microscopy applied to 3D computer microvision by using deep neural networks

Distributed Training of Deep Neural Networks: Convergence and Case Study

Raphaël Couturier Information

University

Position

FEMTO-ST Institute, University Bourgogne Franche-Comté (UBFC), CNRS

Citations(all)

4281

Citations(since 2020)

2619

Cited By

2562

hIndex(all)

35

hIndex(since 2020)

26

i10Index(all)

119

i10Index(since 2020)

67

Email

University Profile Page

Université de Franche-Comté

Google Scholar

View Google Scholar Profile

Raphaël Couturier Skills & Research Interests

Deep Learning

Security

GPU

Parallel Computing

Sensor networks

Top articles of Raphaël Couturier

Title

Journal

Author(s)

Publication Date

TSCAPE: time series clustering with curve analysis and projection on an Euclidean space

Connection Science

Jeremy Renaud

Raphaël Couturier

Christophe Guyeux

Benoit Courjal

2024/12/31

A deep learning object detection method to improve cluster analysis of two-dimensional data

Multimedia Tools and Applications

Raphaël Couturier

Pablo Gregori

Hassan Noura

Ola Salman

Abderrahmane Sider

2024/2/7

Simultaneous encryption and authentication of messages over GPUs

Multimedia Tools and Applications

Ahmed Fanfakh

Hassan Noura

Raphaël Couturier

2024/1

The Theory of Statistical Implicative Analysis: Or the Implausibility of Falsehood... when the Exception Confirms the Rule

Régis Gras

Antoine Bodin

Raphaël Couturier

Pablo Gregori

2023/11/29

Characterization of a driven two-level quantum system by supervised learning

Entropy

Raphaël Couturier

Etienne Dionis

Stéphane Guérin

Christophe Guyeux

Dominique Sugny

2023/3/3

Deep learning and gradient boosting for urban environmental noise monitoring in smart cities

Expert Systems with Applications

Jérémy Renaud

Ralph Karam

Michel Salomon

Raphaël Couturier

2023/5/15

Digital holographic microscopy applied to 3D computer microvision by using deep neural networks

European Physical Journal Web of Conferences

Jesús E Brito Carcaño

Stéphane Cuenat

Belal Ahmad

Patrick Sandoz

Raphaël Couturier

...

2023/9

Distributed Training of Deep Neural Networks: Convergence and Case Study

Jacques M Bahi

Raphael Couturier

Joseph Azar

Kevin Kana Nguimfack

2023/11/20

Gradient boosting-based approach for short-and medium-term wind turbine output power prediction

Renewable Energy

Robert Adam Sobolewski

Médane Tchakorom

Raphaël Couturier

2023/2/1

Message from the PDSEC-22 Workshop Chairs

Sabine Roller

Peter Strazdins

Raphaël Couturier

Neda Ebrahimi Pour

Suzanne Michelle Shontz

...

2023/5/15

Towards a Scalable Compute Continuum Platform Applied to Electrical Energy Forecasting

Mohamad Moussa

Nabil Abdennahder

Raphaël Couturier

Giovanna Di Marzo Serugendo

2023/8/28

A framework for evaluating image obfuscation under deep learning-assisted privacy attacks

Multimedia Tools and Applications

Jimmy Tekli

Bechara Al Bouna

Gilbert Tekli

Raphaël Couturier

2023/11

Lesca: Lightweight stream cipher algorithm for emerging systems

Ad Hoc Networks

Hassan Noura

Ola Salman

Raphaël Couturier

Ali Chehab

2023/1/1

Automatic classification of patients with myocardial infarction or myocarditis based only on clinical data: A quick response

Plos one

Sheikh Shah Mohammad Motiur Rahman

Zhihao Chen

Alain Lalande

Thomas Decourselle

Alexandre Cochet

...

2023/5/5

Leveraging Computer Vision Networks for Guitar Tablature Transcription

Charbel El Achkar

Raphaël Couturier

Abdallah Makhoul

Talar Atéchian

2023/8/28

ADS-B anomaly detection in the surveillance of low-altitude aircrafts

Journal of Open Aviation Science

Melvyn PIROLLEY

Raphaël COUTURIER

Michel SALOMON

Fabrice AMBERT

2023/10/30

A deep learning scheme for efficient multimedia IoT data compression

Ad Hoc Networks

Hassan N Noura

Joseph Azar

Ola Salman

Raphaël Couturier

Kamel Mazouzi

2023/1/1

Overstock Prediction Using Machine Learning in Retail Industry

K Bernard Agbemadon

Raphaël Couturier

David Laiymani

2023/3/24

A generic-based Federated Learning model for smart grid and renewable energy

Mohamad Moussa

Nabil Abdennadher

Raphaël Couturier

Giovanna Di Marzo Serugendo

2023/7/10

Towards a Decentralised Federated Learning Based Compute Continuum Framework

Mohamad Moussa

Philippe Glass

Nabil Abdennahder

Giovanna Di Marzo Serugendo

Raphaël Couturier

2023/10/12

See List of Professors in Raphaël Couturier University(Université de Franche-Comté)

Co-Authors

H-index: 50
Marie-Cécile Péra

Marie-Cécile Péra

Université de Franche-Comté

H-index: 39
Ali Chehab

Ali Chehab

American University of Beirut

H-index: 33
Abdallah Makhoul

Abdallah Makhoul

Université de Franche-Comté

H-index: 32
Jacques Bahi

Jacques Bahi

Université de Franche-Comté

H-index: 31
Elias Yaacoub

Elias Yaacoub

Qatar University

H-index: 30
Christophe Guyeux

Christophe Guyeux

Université de Franche-Comté

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