Projects per year
Personal profile
Diplomas
Master's degree in philosophy (UCL, 2015)
Master's degree in computer science (UCL, 2013)
Bachelor's degree in computer science (UCL, 2011)
Diplomas
Master's degree in philosophy (UCL, 2015)
Master's degree in computer science (UCL, 2013)
Bachelor's degree in computer science (UCL, 2011)
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Engineering & Materials Science
Learning systems
Engineering & Materials Science
heuristics
Social Sciences
Conservation
Engineering & Materials Science
Experiments
Engineering & Materials Science
Human computer interaction
Engineering & Materials Science
learning
Social Sciences
Ecology
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2018 2021
- 1 Active
VeriLearn: Verifying Learning Artificial Intelligence Systems
Heymans, P., Frenay, B., Schobbens, P., Temple, P., Nanfack, G., Amrani, M. & Bibal, A.
1/01/18 → 31/12/21
Project: Research
Research Output 2016 2019
BIR: A Method for Selecting the Best Interpretable Multidimensional Scaling Rotation using External Variables
Marion, R., Bibal, A. & Frenay, B., 4 Feb 2019, In : Neurocomputing. 342, p. 83-96 14 p.Research output: Contribution to journal › Article
Ecology
Invariance
Psychology
Measuring Quality and Interpretability of Dimensionality Reduction Visualizations
Bibal, A. & Frenay, B., 2019, SafeML ICLR Workshop. New Orleans, LouisianaResearch output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open Access
File
Visualization
Learning systems
User-Based Experiment Guidelines for Measuring Interpretability in Machine Learning
Bibal, A., Dumas, B. & Frenay, B., 2019, EGC Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. MetzResearch output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open Access
File
Learning systems
Human computer interaction
Experiments
Finding the Most Interpretable MDS Rotation for Sparse Linear Models based on External Features
Bibal, A., Marion, R. & Frenay, B., 2018, 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, p. 537-542 7 p.Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open Access
File
Interpretability of Machine Learning Models and Representations: an Introduction
Bibal, A. & Frenay, B., 2016, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, p. 77-82Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open Access
File
heuristics
learning