Faouzi Adjed

Faouzi Adjed

Université d'Évry-Val d'Essonne

H-index: 7

Europe-France

About Faouzi Adjed

Faouzi Adjed, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Université d'Évry-Val d'Essonne, specializes in the field of Applied Mathematics, Image processing, Computer Aided Diagnosis System, Deep Learning, Artificial intelligence..

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

Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models

DebiAI: Open-Source Toolkit for Data Analysis, Visualisation and Evaluation in Machine Learning

AI Systems Trustworthiness Assessment: State of the Art

Geometrically-driven generation of mechanical designs through deep convolutional GANs

Explaining an image classifier with a generative model conditioned by uncertainty

Confiance. ai Days 2022. Booklet of articles & posters

A data-driven topology optimization approach to handle geometrical manufacturing constraints in the earlier steps of the design phase

Efficient calibration as a binary top-versus-all problem for classifiers with many classes

Faouzi Adjed Information

University

Position

Universiti Teknologi Petronas Malayasia & France

Citations(all)

168

Citations(since 2020)

139

Cited By

69

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

3

Email

University Profile Page

Université d'Évry-Val d'Essonne

Google Scholar

View Google Scholar Profile

Faouzi Adjed Skills & Research Interests

Applied Mathematics

Image processing

Computer Aided Diagnosis System

Deep Learning

Artificial intelligence.

Top articles of Faouzi Adjed

Title

Journal

Author(s)

Publication Date

Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models

Adrien Le Coz

Houssem Ouertatani

Stéphane Herbin

Faouzi Adjed

2024/6/18

DebiAI: Open-Source Toolkit for Data Analysis, Visualisation and Evaluation in Machine Learning

Tom Mansion

Raphaël Braud

Ahmed Amrani

Sabrina Chaouche

Faouzi Adjed

...

2024/3/10

AI Systems Trustworthiness Assessment: State of the Art

Afef Awadid

Kahina Amokrane-Ferka

Henri Sohier

Juliette Mattioli

Faouzi Adjed

...

2024/2/21

Geometrically-driven generation of mechanical designs through deep convolutional GANs

Engineering Optimization

Waad Almasri

Dimitri Bettebghor

Faouzi Adjed

Florence Danglade

Fakhreddine Ababsa

2024/1/2

Explaining an image classifier with a generative model conditioned by uncertainty

Adrien Le Coz

Stéphane Herbin

Faouzi Adjed

2023/9/22

Confiance. ai Days 2022. Booklet of articles & posters

Patrice Aknin

Bertrand Braunschweig

Loic Cantat

Faïcel Chamroukhi

Georges Hebrail

...

2023/3/10

A data-driven topology optimization approach to handle geometrical manufacturing constraints in the earlier steps of the design phase

Procedia CIRP

Waad Almasri

Florence Danglade

Dimitri Bettebghor

Faouzi Adjed

Fakhreddine Ababsa

2023/1/1

Efficient calibration as a binary top-versus-all problem for classifiers with many classes

Adrien Le Coz

Stéphane Herbin

Faouzi Adjed

2023/10/13

Deep learning for additive manufacturing-driven topology optimization

Procedia CIRP

Waad Almasri

Florence Danglade

Dimitri Bettebghor

Faouzi Adjed

Fakhreddine Ababsa

2022/1/1

On Improving the Robustness of Reinforcement Learning Policies against Adversarial Attacks

Jeong Woo Kim

Hyungbo Shim

Insoon Yang

2019/12/11

GMCAD: an original Synthetic Dataset of 2D Designs along their Geometrical and Mechanical Conditions

Procedia Computer Science

Waad Almasri

Dimitri Bettebghor

Faouzi Adjed

Fakhreddine Ababsa

Florence Danglade

2022/1/1

Leveraging generative models to characterize the failure conditions of image classifiers

Adrien Le Coz

Stéphane Herbin

Faouzi Adjed

2022/7/24

Abstract interpretation limitations for deep neural network robustness evaluation

Faouzi Adjed

Mallek Mziou Sallami

2022/5/28

Towards a Certification of Deep Image Classifiers against Convolutional Attacks

Mallek Mziou-Sallami

Faouzi Adjed

2022

Comparison of Different Fatigue Laws for Probabilistic Modeling of Mechanical Fatigue with Censored Data Using Maximum Likelihood Estimation Method

Ivan Rukavina

Faouzi Adjed

Charlotte Chabanas

Samuel Van De Hel

Mohcine Nfaoui

...

2022/5/10

Vers une Conception et une Certification d'un Système de Décision Obtenu par Apprentissage par Renforcement Profond

Christophe Bohn

Rezzoug Mehdi

Jaafra Yesmina

Adjed Faouzi

Pelliccia Frédéric

...

2022/10/11

Integrative System of Deep Classifiers Certification: Case of Convolutional Attacks

Imen Smati

Rania Khalsi

Mallek Mziou-Sallami

Faouzi Adjed

Faouzi Ghorbel

2022/2/3

Coupling algebraic topology theory, formal methods and safety requirements toward a new coverage metric for artificial intelligence models

Neural Computing and Applications

Faouzi Adjed

Mallek Mziou-Sallami

Frédéric Pelliccia

Mehdi Rezzoug

Lucas Schott

...

2022/10

Vers une Normalisation du Kabyle: Alphabet

Faouzi Adjed

2021/2/28

Certification of Deep Reinforcement Learning with Multiple Outputs Using Abstract Interpretation and Safety Critical Systems

Faouzi Adjed

Frédéric Pelliccia

Mehdi Rezzoug

Lucas Schott

2021

See List of Professors in Faouzi Adjed University(Université d'Évry-Val d'Essonne)

Co-Authors

H-index: 33
Sarat Chandra Dass

Sarat Chandra Dass

Heriot-Watt University

H-index: 32
Ibrahima Faye

Ibrahima Faye

Universiti Teknologi Petronas

H-index: 20
Fakhreddine Ababsa

Fakhreddine Ababsa

Arts et Métiers ParisTech

H-index: 19
Audrey Giremus

Audrey Giremus

Université de Bordeaux

H-index: 17
Mohamed Meselhy Eltoukhy

Mohamed Meselhy Eltoukhy

Suez Canal University

H-index: 13
Jamal Gardezi

Jamal Gardezi

Universiti Teknologi Petronas

academic-engine