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)
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):
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Projects
- 1 Finished
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VeriLearn: Verifying Learning Artificial Intelligence Systems
Heymans, P., Frénay, B., SCHOBBENS, P., Temple, P., Nanfack, G., Amrani, M. & Bibal, A.
1/01/18 → 31/12/22
Project: Research
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Integrating Constraints into Dimensionality Reduction for Visualization: A Survey
Vu, V. M., Bibal, A. & Frénay, B., 1 Dec 2022, In: IEEE Transactions on Artificial Intelligence. 3, 6, p. 944-962 19 p.Research output: Contribution to journal › Article › peer-review
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Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency
Barragan-Montero, A., Bibal, A., Dastarac, M. H., Draguet, C., Valdes, G., Nguyen, D., Willems, S., Vandewinckele, L., Holmstrom, M., Lofman, F., Souris, K., Sterpin, E. & Lee, J. A., 7 Jun 2022, In: Physics in Medicine and Biology. 67, 11, 11TR01.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Downloads (Pure) -
Accelerating t-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics
Delchevalerie, V., Mayer, A., Bibal, A. & Frénay, B., 18 Jul 2021, IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings. IEEE, 8 p. (Proceedings of the International Joint Conference on Neural Networks; vol. 2021-July).Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open AccessFile84 Downloads (Pure) -
Achieving Rotational Invariance with Bessel-Convolutional Neural Networks
Delchevalerie, V., Bibal, A., Frénay, B. & Mayer, A., 2021, 35th Conference on Neural Information Processing Systems: NeurIPS 2021. Vol. 34. 12 p.Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open AccessFile9 Downloads (Pure) -
BIOT: Explaining multidimensional nonlinear MDS embeddings using the Best Interpretable Orthogonal Transformation
Bibal, A., Marion, R., von Sachs, R. & Frénay, B., 17 Sept 2021, In: Neurocomputing. 453, p. 109-118 10 p.Research output: Contribution to journal › Article › peer-review
Thesis
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Interpretability and Explainability in Machine Learning and their Application to Nonlinear Dimensionality Reduction
Author: Bibal, A., 16 Nov 2020Supervisor: FRENAY, B. (Supervisor), VANHOOF, W. (President), Cleve, A. (Jury), Dumas, B. (Jury), Lee, J. A. (External person) (Jury) & Galarraga, L. A. (External person) (Jury)
Student thesis: Doc types › Doctor of Sciences
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