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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.

Visualization 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

Research Output 2016 2019

  • 8 Citations
  • 1 h-Index
  • 6 Conference contribution
  • 1 Article

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 journalArticle

Ecology
Invariance
Psychology

Measuring Quality and Interpretability of Dimensionality Reduction Visualizations

Bibal, A. & Frenay, B., 2019, SafeML ICLR Workshop. New Orleans, Louisiana

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference 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. Metz

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference 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 proceedingConference 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. 77-82

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Open Access
File
heuristics
learning