Frénay Benoît

Frénay Benoît

Université de Namur

H-index: 17

Europe-Belgium

About Frénay Benoît

Frénay Benoît, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at Université de Namur, specializes in the field of machine learning.

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

When magnetron sputtering deposition meets machine learning: Application to process anomaly detection

Decision trees: from efficient prediction to responsible AI

SO (2) and O (2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks

Metadata quality matters in open government data (OGD) evaluation! An empirical investigation of OGD portals of the GCC constituents

Sign language-to-text dictionary with lightweight transformer models

DT-SNE: t-SNE discrete visualizations as decision tree structures

Trends and challenges for sign language recognition with machine learning

Constrained Tiny Machine Learning for Predicting Gas Concentration with I4. 0 Low-cost Sensors

Frénay Benoît Information

University

Position

Faculty of Computer Science

Citations(all)

3318

Citations(since 2020)

2296

Cited By

1843

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

28

i10Index(since 2020)

20

Email

University Profile Page

Université de Namur

Google Scholar

View Google Scholar Profile

Frénay Benoît Skills & Research Interests

machine learning

Top articles of Frénay Benoît

Title

Journal

Author(s)

Publication Date

When magnetron sputtering deposition meets machine learning: Application to process anomaly detection

Surface and Coatings Technology

Valentin Delchevalerie

Nicolas de Moor

Louis Rassinfosse

Emile Haye

Benoît Frenay

...

2024/2/15

Decision trees: from efficient prediction to responsible AI

Hendrik Blockeel

Laurens Devos

Benoît Frénay

Géraldin Nanfack

Siegfried Nijssen

2023

SO (2) and O (2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks

arXiv preprint arXiv:2304.09214

Valentin Delchevalerie

Alexandre Mayer

Adrien Bibal

Benoît Frénay

2023/4/18

Metadata quality matters in open government data (OGD) evaluation! An empirical investigation of OGD portals of the GCC constituents

Transforming Government: People, Process and Policy

Abiola Paterne Chokki

Charalampos Alexopoulos

Stuti Saxena

Benoît Frénay

Benoît Vanderose

...

2023/10/30

Sign language-to-text dictionary with lightweight transformer models

Jerome Fink

Pierre Poitier

Maxime André

Loup Meurice

Benoît Frénay

...

2023

DT-SNE: t-SNE discrete visualizations as decision tree structures

Neurocomputing

Adrien Bibal

Valentin Delchevalerie

Benoît Frénay

2023/4/7

Trends and challenges for sign language recognition with machine learning

Jerome Fink

Mathieu De Coster

Joni Dambre

Benoît Frénay

2023/10/4

Constrained Tiny Machine Learning for Predicting Gas Concentration with I4. 0 Low-cost Sensors

ACM Transactions on Embedded Computing Systems

Mohammed El Adoui

Thomas Herpoel

Benoît Frénay

2023

Bridging the Gap between Human-Computer Interaction and Machine-Learning on Explainable AI: Initial Observations and Lessons Learned

Julien Albert

Adrien Bibal

Benoît Frénay

Bruno Dumas

2023/4/3

Learning customised decision trees for domain-knowledge constraints

Pattern Recognition

Géraldin Nanfack

Paul Temple

Benoît Frénay

2023/10/1

Predicting User Preferences of Dimensionality Reduction Embedding Quality

IEEE Transactions on Visualization and Computer Graphics

Cristina Morariu

Adrien Bibal

Rene Cutura

Benoit Frenay

Michael Sedlmair

2023

Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks

arXiv preprint arXiv:2302.05154

Arnaud Bougaham

Valentin Delchevalerie

Mohammed El Adoui

Benoît Frénay

2023/2/10

Improving the Feature Selection Stability of the Delta Test in Regression

IEEE Transactions on Artificial Intelligence

Rebecca Marion

Benoît Frénay

2023/9/12

Composite score for anomaly detection in imbalanced real-world industrial dataset

Machine Learning

Arnaud Bougaham

Mohammed El Adoui

Isabelle Linden

Benoît Frénay

2023/11/20

FairBayRank: A Fair Personalized Bayesian Ranker

Armielle Noulapeu Ngaffo

Julien Albert

Benoît Frénay

Gilles Perrouin

2023

An experimental investigation into the evaluation of explainability methods

arXiv preprint arXiv:2305.16361

Sédrick Stassin

Alexandre Englebert

Géraldin Nanfack

Julien Albert

Nassim Versbraegen

...

2023/5/25

Do open government data (OGD) portals show signs of knowledge management (KM) practices?: an empirical investigation

Technology Analysis & Strategic Management

Abiola Paterne Chokki

Charalampos Alexopoulos

Ricardo Matheus

Stuti Saxena

Benoît Frénay

...

2023/11/14

ODSAG: Enhancing Open Data Discoverability and Understanding through Semantic Annotation

Abiola Paterne Chokki

Rabeb Abida

Benoît Frénay

Benoît Vanderose

Anthony Cleve

2022/5

Integrating constraints into dimensionality reduction for visualization: A survey

IEEE Transactions on Artificial Intelligence

Viet Minh Vu

Adrien Bibal

Benoît Frénay

2022/9/6

AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence

Adrien Bibal

Tassadit Bouadi

Benoît Frénay

Luis Galárraga

José Oramas

2022/10/17

See List of Professors in Frénay Benoît University(Université de Namur)

Co-Authors

H-index: 62
Michel Verleysen

Michel Verleysen

Université Catholique de Louvain

H-index: 49
Barbara Hammer

Barbara Hammer

Universität Bielefeld

H-index: 47
Amaury Lendasse

Amaury Lendasse

University of Houston

H-index: 44
Michael Biehl

Michael Biehl

Rijksuniversiteit Groningen

H-index: 35
Marco Saerens

Marco Saerens

Université Catholique de Louvain

H-index: 32
Pierre Dupont

Pierre Dupont

Université Catholique de Louvain

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