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
Dive into the research topics where Adrien Bibal is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 6 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots or
Projects
- 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 → 31/12/22
Project: Research
Research output
-
Explaining the Black Box: when Law Controls AI
DE STREEL, A., BIBAL, ADRIEN., FRENAY, BENOIT. & LOGNOUL, M., 2020, Bruxelles: CERRE. 12 p.Research output: Book/Report/Journal › Commissioned report
Open Access -
Explaining t-SNE Embeddings Locally by Adapting LIME
BIBAL, ADRIEN., Vu, V. M., Nanfack, G. & FRENAY, BENOIT., 2020, (Accepted/In press) Proceedings of the ESANN 2020 conference.Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open AccessFile7 Downloads (Pure) -
Impact of Legal Requirements on Explainability in Machine Learning
BIBAL, ADRIEN., LOGNOUL, M., DE STREEL, A. & FRENAY, BENOIT., 2020, (Accepted/In press) ICML Law & Machine Learning Workshop.Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution
Open AccessFile19 Downloads (Pure) -
Legal requirements on explainability in machine learning
Bibal, A., Lognoul, M., De Streel, A. & Frenay, B., 30 Jul 2020, In: Artificial Intelligence & Law. p. 1-21Research output: Contribution to journal › Article
Open AccessFile -
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 › peer-review
File
Thesis
-
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