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Research

Advestis part of R&D Forvis Mazars has been developing and operating ML algorithms
in commercial production since 2013.

Explore our Research below

Rechercher

How to measure interpretability?

Advestis

21 nov. 2020

How to measure interpretability?

V. Margot, Towards Data Science, November 21st, 2020.

Speed Cubing for Machine Learning - Episode 2

Advestis

20 nov. 2020

Speed Cubing for Machine Learning - Episode 2

N. Morizet, Towards Data Science, November 20th, 2020.

Interpretable Algorithms for Regression: Theory and Applications

Advestis

1 oct. 2020

Interpretable Algorithms for Regression: Theory and Applications

V. Margot, PhD Thesis, Sorbonne Université, October 2nd, 2020.

Using Non-negative matrix factorization to classify companies

Advestis

1 oct. 2020

Using Non-negative matrix factorization to classify companies

C. Geissler, Towards Data Science, October 1st, 2020.

A rigorous method to compare interpretability of rule-based algorithms

Advestis

23 sept. 2020

A rigorous method to compare interpretability of rule-based algorithms

V. Margot, Preprint, 2020.

Speed Cubing for Machine Learning - Episode 1

Advestis

15 sept. 2020

Speed Cubing for Machine Learning - Episode 1

N. Morizet, Towards Data Science, September 15th, 2020.

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