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ADRIEN BIBAL

  • 25 Citations
  • 2 h-Index
20162020

Research output per year

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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)

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Projects

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

  • 25 Citations
  • 2 h-Index
  • 6 Conference contribution
  • 1 Commissioned report
  • 1 Article

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

    • 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

    File
    • 1 Downloads (Pure)

    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 proceeding › Conference contribution

    Open Access
    File
    • 12 Downloads (Pure)

    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 proceeding › Conference contribution

    Open Access
    File
    • 5 Downloads (Pure)

    Finding the Most Interpretable MDS Rotation for Sparse Linear Models based on External Features

    Bibal, A., Marion, R. & Frenay, B., 1 Jan 2018, ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, p. 537-542 6 p. (ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

    Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

    Open Access
    File
    6 Downloads (Pure)