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Publications
2022
Increasing Awareness and Usefulness of Open Government Data: An Empirical Analysis of Communication Methods
Abiola Paterne Chokki
,
Anthony Simonofski
,
Benoît Frénay
,
Benoît Vanderose
ICRCIS
May, 2022
Details
PDF
Fostering Interaction between Open Government Data Stakeholders: An Exchange Platform for Citizens, Developers and Publishers
Abiola Paterne Chokki
,
Anthony Simonofski
,
Antoine Clarinval
,
Benoît Frénay
,
Benoît Vanderose
EG
May, 2022
Details
PDF
ODSAG: Enhancing Open Data Discoverability and Understanding through Semantic Annotation
Abiola Paterne Chokki
,
Rabeb Abida
,
Benoît Frénay
,
Benoît Vanderose
,
Anthony Cleve
EG
May, 2022
Details
PDF
Open Data Explorer: An End-to-end Tool for Data Storytelling using Open Data
Abiola Paterne Chokki
,
Benoît Frénay
,
Benoît Vanderose
AMCIS
April, 2022
Details
PDF
Constraint Enforcement on Decision Trees: a Survey
Géraldin Nanfack
,
Paul Temple
,
Benoît Frénay
ACM Computing Surveys
January, 2022
Details
PDF
2021
Achieving Rotational Invariance with Bessel-Convolutional Neural Networks
Valentin Delchevalerie
,
Adrien Bibal
,
Benoît Frénay
,
Alexandre Mayer
Advances in Neural Information Processing Systems
December, 2021
Details
PDF
Global Explanations with Decision Rules: a Co-learning Approach
Géraldin Nanfack
,
Paul Temple
,
Benoît Frénay
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence (UAI 2021)
December, 2021
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PDF
Boundary-Based Fairness Constraints in Decision Trees and Random Forests
Géraldin Nanfack
,
Valentin Delchevalerie
,
Benoît Frénay
ESANN
October, 2021
Details
PDF
Project
GanoDIP-GAN Anomaly Detection through Intermediate Patches: a PCBA Manufacturing Case
Arnaud Bougaham
,
Adrien Bibal
,
Isabelle Linden
,
Benoît Frénay
PMLR
September, 2021
Details
PDF
BIOT: Explaining multidimensional nonlinear MDS embeddings using the Best Interpretable Orthogonal Transformation
Adrien Bibal
,
Rebecca Marion
,
Rainer von Sachs
,
Benoît Frénay
Neurocomputing
September, 2021
Details
PDF
IXVC: An interactive pipeline for explaining visual clusters in dimensionality reduction visualizations with decision trees
Adrien Bibal
,
Antoine Clarinval
,
Bruno Dumas
,
Benoît Frénay
ESANN
September, 2021
Details
PDF
HCt-SNE: Hierarchical Constraints with t-SNE
Viet Minh Vu
,
Adrien Bibal
,
Benoît Frénay
IJCNN
July, 2021
Details
PDF
iPMDS: Interactive Probabilistic Multidimensional Scaling
Viet Minh Vu
,
Adrien Bibal
,
Benoît Frénay
IJCNN
July, 2021
Details
PDF
Accelerating t-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics
Valentin Delchevalerie
,
Alexandre Mayer
,
Adrien Bibal
,
Benoît Frénay
IJCNN
July, 2021
Details
PDF
LSFB-CONT and LSFB-ISOL: Two New Datasets for Vision-Based Sign Language Recognition
Jérôme Fink
,
Benoît Frénay
,
Laurence Meurant
,
Anthony Cleve
IJCNN
July, 2021
Details
PDF
Constraint preserving score for automatic hyperparameter tuning of dimensionality reduction methods for visualization
Viet Minh Vu
,
Adrien Bibal
,
Benoît Frénay
IEEE
July, 2021
Details
PDF
Ethical adversaries: Towards mitigating unfairness with adversarial machine learning
Pieter Delobelle
,
Paul Temple
,
Gilles Perrouin
,
Benoît Frénay
,
Patrick Heymans
,
Bettina Berendt
ACM
May, 2021
Details
PDF
DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality
Cristina Morariu
,
Adrien Bibal
,
Rene Cutura
,
Benoît Frénay
,
Michael Sedlmair
May, 2021
Details
PDF
A Take on Obfuscation with Ethical Adversaries
Pieter Delobelle
,
Paul Temple
,
Gilles Perrouin
,
Benoît Frénay
,
Patrick Heymans
,
Bettina Berendt
3rd Workshop on obfuscation
May, 2021
Details
PDF
2020
AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
Adrien Bibal
,
Tassadit Bouadi
,
Luis Galárraga
,
José Oramas
,
Benoît Frénay
ACM
October, 2020
Details
PDF
Explaining t-SNE Embeddings Locally by Adapting LIME
Adrien Bibal
,
Viet Minh Vu
,
Géraldin Nanfack
,
Benoît Frénay
ESANN
October, 2020
Details
PDF
Impact of legal requirements on explainability in machine learning
Adrien Bibal
,
Michael Lognoul
,
Alexandre De Streel
,
Benoît Frénay
ICML
July, 2020
Details
PDF
2019
Customizing Adversarial Machine Learning to Test Deep Learning Techniques
Paul Temple
,
Gilles Perrouin
,
Benoît Frénay
,
Pierre-Yves Schobbens
1st Workshop on Deep Learning <=> Testing
May, 2019
Details
PDF
BIR: A method for selecting the best interpretable multidimensional scaling rotation using external variables
Rebecca Marion
,
Adrien Bibal
,
Benoît Frénay
Neurocomputing
May, 2019
Details
PDF
Code
Measuring quality and interpretability of dimensionality reduction visualizations
Adrien Bibal
,
Benoît Frénay
ICLR
May, 2019
Details
PDF
User-steering interpretable visualization with probabilistic principal components analysis
Viet Minh Vu
,
Benoît Frénay
ESANN
March, 2019
Details
PDF
User-Based Experiment Guidelines for Measuring Interpretability in Machine Learning
Adrien Bibal
,
Bruno Dumas
,
Benoît Frénay
EGC
January, 2019
Details
PDF
2018
Finding the most interpretable MDS rotation for sparse linear models based on external features.
Adrien Bibal
,
Rebecca Marion
,
Benoît Frénay
ESANN
January, 2018
Details
PDF
2016
Learning interpretability for visualizations using adapted Cox models through a user experiment
Adrien Bibal
,
Benoît Frénay
NIPS
November, 2016
Details
PDF
Interpretability of machine learning models and representations: an introduction.
Adrien Bibal
,
Benoît Frénay
ESANN
April, 2016
Details
PDF