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B

Benoît Frénay‬

Faculty of Computer Science

20H-index
163Paper Count
3.3KCitation Count
Published Papers 23
Publication Date
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Robust sparse k-means clustering against STOF observations
errInternational Journal of Data Science and Analytics
IF2.8
err2025-07-29
err0
PREAI
errAriel Basso Madjoukeng; Edith Bélise Kenmogne; Benoît Frénay
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errSave
Human and Deep Learning Predictions of Peripheral Lung Cancer Using a 1.3 mm Video Endoscopic Probe
errRespirology
IF6.3
err2025-05-28
err0
errOAAI
errEdoardo Amante; Robin Ghyselinck; Luc Thiberville; Rocco Trisolini; Florian Guisier; Valentin Delchevalerie; Bruno Dumas; Benoît Frénay; Inès Duparc; Nicolas Mazellier; Cecile Farhi; Christophe Jubert; Mathieu Salaün; Samy Lachkar
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Industrial and medical anomaly detection through cycle-consistent adversarial networks
errNEUROCOMPUTING
IF6.5
err2025-01-01
err0
PREAI
errBougaham, Arnaud; Delchevalerie, Valentin; El Adoui, Mohammed; Frenay, Benoit
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errSave
When magnetron sputtering deposition meets machine learning: Application to process anomaly detection
errSURFACE & COATINGS TECHNOLOGY
IF6.1
err2024-02-01
err1
PREAI
errDelchevalerie, Valentin; de Moor, Nicolas; Rassinfosse, Louis; Haye, Emile; Frenay, Benoit; Lucas, Stephane
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errSave
Towards better transition modeling in recurrent neural networks: The case of sign language tokenization
errNEUROCOMPUTING
IF6.5
err2024-01-01
err1
PREAI
errPoitier, Pierre; Fink, Jerome; Frenay, Benoit
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Composite score for anomaly detection in imbalanced real-world industrial dataset
errMACHINE LEARNING
IF2.9
err2023-11-20
err2
PREAI
errBougaham, Arnaud; El Adoui, Mohammed; Linden, Isabelle; Frenay, Benoit
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errSave
Learning Customised Decision Trees for Domain-knowledge Constraints
errPATTERN RECOGNITION
IF7.6
err2023-10-01
err7
errOAAI
errNanfack, Geraldin; Temple, Paul; Frenay, Benoit
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Decision trees: from efficient prediction to responsible AI
errFRONTIERS IN ARTIFICIAL INTELLIGENCE
IF4.7
err2023-07-26
err36
errOAAI
errBlockeel, Hendrik; Devos, Laurens; Frenay, Benoit; Nanfack, Geraldin; Nijssen, Siegfried
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errSave
DT-SNE: t-SNE discrete visualizations as decision tree structures
errNEUROCOMPUTING
IF6.5
err2023-04-01
err13
PREAI
errBibal, Adrien; Delchevalerie, Valentin; Frenay, Benoit
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errSave
Constraint Enforcement on Decision Trees: A Survey
errACM COMPUTING SURVEYS
IF28
err2022-09-13
err16
errOAAI
errNanfack, Geraldin; Temple, Paul; Frenay, Benoit
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BIOT: Explaining multidimensional nonlinear MDS embeddings using the Best Interpretable Orthogonal Transformation
errNEUROCOMPUTING
IF6.5
err2021-09-01
err3
PREAI
errBibal, Adrien; Marion, Rebecca; von Sachs, Rainer; Frenay, Benoit
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Reading grid for feature selection relevance criteria in regression *
errPATTERN RECOGNITION LETTERS
IF3.3
err2021-08-01
err1
PREAI
errDegeest, Alexandra; Frenay, Benoit; Verleysen, Michel
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errSave
Legal requirements on explainability in machine learning
errartificial intelligence in agriculture
IF3.1
err2020-07-30
err98
PREAI
errBibal, Adrien; Lognoul, Michael; de Streel, Alexandre; Frenay, Benoit
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errSave
BIR: A method for selecting the best interpretable multidimensional scaling rotation using external variables
errNEUROCOMPUTING
IF6.5
err2019-05-01
err7
PREAI
errMarion, Rebecca; Bibal, Adrien; Frenay, Benoit
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errSave
Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers
errIEEE TRANSACTIONS ON CYBERNETICS
IF10.5
err2016-12-01
err20
PREAI
errFrenay, Benoit; Verleysen, Michel
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errSave
Special issue on advances in learning with label noise
errNEUROCOMPUTING
IF6.5
err2015-07-01
err1
errOAAI
errFrenay, Benoit; Kaban, Ata
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errSave
Classification in the Presence of Label Noise: a Survey
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2014-05-01
err1.2K
PREAI
errFrenay, Benoit; Verleysen, Michel
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errSave
Pointwise probability reinforcements for robust statistical inference
errNEURAL NETWORKS
IF6.3
err2014-02-01
err1
PREAI
errFrenay, Benoit; Verleysen, Michel
errShare
errSave
Is mutual information adequate for feature selection in regression?
errNEURAL NETWORKS
IF6.3
err2013-12-01
err60
PREAI
errFrenay, Benoit; Doquire, Gauthier; Verleysen, Michel
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errSave
Theoretical and empirical study on the potential inadequacy of mutual information for feature selection in classification
errNEUROCOMPUTING
IF6.5
err2013-07-01
err28
PREAI
errFrenay, Benoit; Doquire, Gauthier; Verleysen, Michel
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
M
Michel Verleysen
H-index: 54 · Papers: 529
A
Amaury Lendasse
H-index: 44 · Papers: 343
H
Hendrik Blockeel
H-index: 41 · Papers: 398
S
Stéphane Lucas
H-index: 36 · Papers: 295
R
Rocco Trisolini
H-index: 34 · Papers: 231
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