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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.

Learning systems Engineering & Materials Science
heuristics Social Sciences
Conservation Engineering & Materials Science
Visualization 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.

Research Output 2016 2019

  • 6 Citations
  • 1 h-Index
  • 5 Conference contribution
  • 1 Article
Ecology
Invariance
Psychology

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

Introduction to Interpretability in Machine Learning

Bibal, A. & Frenay, B., 2016, BENELEARN 2016. Kortrijk

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

Open Access
File