Projects per year
Personal profile
Areas of expertise
Diplomas
Awards
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Science, Uncertainty and Label Noise in Machine Learning, Université Catholique de Louvain
Award Date: 15 Sept 2013
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Collaborations and top research areas from the last five years
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PHE4DR: Post-hoc Explanation for Integrating User Feedback in Dimensionality Reduction
1/01/24 → 30/09/25
Project: Research
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SafeTransRNN: Improved temporal segmentation using RNNs with state duration constraints and fuzzy transitions modelling
1/10/22 → 31/12/24
Project: Research
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VAMOS: Venus Atmosphere exploration through machine learning and open science in preparation to EnVision
Vandaele ICPAE, A. C., Frénay, B., Sermeus, J. & Claes, S.
15/09/22 → 14/09/26
Project: Research
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SMARTSENS: Sensors and MAchine learning for RemoTe Smart EnviroNmental monitoring Systems
1/03/22 → 31/08/25
Project: Research
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An Experimental Investigation into the Evaluation of Explainability Methods for Computer Vision
Stassin, S., Englebert, A., Albert, J., Nanfack, G., Versbraegen, N., Frénay, B., Peiffer, G., Doh, M., Riche, N. & De Vleeschouwer, C., 2023, In: Communications in Computer and Information Science.Research output: Contribution to journal › Article › peer-review
Open AccessFile26 Downloads (Pure) -
Bridging the Gap between Human-Computer Interaction and Machine-Learning on Explainable AI: Initial Observations and Lessons Learned
Albert, J., Bibal, A., Frénay, B. & Dumas, B., 3 Apr 2023, IHM'23 - 34e Conférence Internationale Francophone sur l'Interaction Humain-Machine. 10 p.Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open AccessFile -
Composite score for anomaly detection in imbalanced real-world industrial dataset
Bougaham, A., El Adoui, M., Linden, I. & Frénay, B., 20 Nov 2023, In: Machine Learning.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Downloads (Pure) -
Constrained Tiny Machine Learning for predicting gas concentration with I4.0 low-cost sensors
Adoui, M. E., Herpoel, T. & Frénay, B., 2023, In: ACM Transactions on Embedded Computing Systems.Research output: Contribution to journal › Article › peer-review
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Decision trees: from efficient prediction to responsible AI
Blockeel, H., Devos, L., Frénay, B., Nanfack, G. & Nijssen, S., 2023, In: Frontiers in Artificial Intelligence. 6, 1124553.Research output: Contribution to journal › Review article › peer-review
Open AccessFile3 Downloads (Pure)
Activities
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31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Armielle Noulapeu Ngaffo (Contributor), Julien Albert (Participant), Benoît Frénay (Participant) & Gilles Perrouin (Participant)
4 Oct 2023 → 6 Oct 2023Activity: Participating in or organising an event types › Participation in conference
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Création d’un outil d’aide à l’apprentissage du français par la lecture pour les élèves sourds et malentendants
Anthony Cleve (Supervisor), Laurence Meurant (Jury Member), Benoît Frénay (Jury Member) & Loup Meurice (Co-Supervisor)
19 Jun 2023Activity: Examinations › Jury
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Dictionnaire bilingue contextuel entre langue des signes (LSFB) et français
Laurence Meurant (Speaker), Jerome Fink (Speaker), Sibylle Fonze (Speaker), Maxime ANDRE (Speaker), Pierre Poitier (Speaker), Alice Heylens (Speaker), Bruno Sonnemans (Speaker), Benoît Frénay (Speaker), Loup Meurice (Speaker) & Anthony Cleve (Speaker)
12 Oct 2022Activity: Talk or presentation types › Oral presentation
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Traitement automatique des langues des signes : questions et avancées actuelles
Laurence Meurant (Organiser), Annelies Braffort (Invited Speaker), Michael Filhol (Invited Speaker), Jerome Fink (Participant), Pierre Poitier (Participant), Maxime ANDRE (Participant), Benoît Frénay (Participant) & Anthony Cleve (Participant)
13 Oct 2022Activity: Participating in or organising an event types › Participation in workshop, seminar, course
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Segmentation Automatique de la Langue des Signes de Belgique Francophone à l’aide de Réseaux Neuronaux Récurrents
Benoît Frénay (Supervisor), Jerome Fink (Co-Supervisor) & Laurence Meurant (Jury Member)
Jun 2022Activity: Examinations › Jury
Press/Media
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Findings from University of Namur Provides New Data about Machine Learning (When Magnetron Sputtering Deposition Meets Machine Learning: Application To Process Anomaly Detection)
Stephane Lucas, Benoît Frénay & Emile Haye
19/02/24
1 item of Media coverage
Press/Media: Expert Comment
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Study Data from University of Namur Update Knowledge of Engineering (Towards Better Transition Modeling In Recurrent Neural Networks: the Case of Sign Language Tokenization)
31/01/24
1 item of Media coverage
Press/Media: Expert Comment
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Findings from University of Namur in the Area of Information and Knowledge Management Described [Do Open Government Data (Ogd) Portals Show Signs of Knowledge Management (Km) Practices?: an Empirical Investigation]
Benoit Vanderose, Benoît Frénay & Abiola Paterne Chokki
25/12/23
1 item of Media coverage
Press/Media: Expert Comment
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Dictionnaire contextuel bilingue langue des signes de Belgique francophone - français
Maxime André, Laurence Meurant, Anthony Cleve, Benoît Frénay, Bruno Dumas, Sibylle Fonze, Bruno Sonnemans, Maxime Gobert, Jerome Fink, Pierre Poitier, Loup Meurice & Alice Heylens
11/10/22 → 13/06/23
20 items of Media coverage, 2 Media contributions
Press/Media: Other
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Research from University of Namur in the Area of Legal Issues Described (Balancing fraud analytics with legal requirements: Governance practices and trade-offs in public administrations)
Anthony Simonofski, Benoît Frénay, Cecile De Terwangne, Thomas Tombal & Pauline Willem
28/03/23
1 item of Media coverage
Press/Media: Expert Comment