Interpretable Algorithms for Regression: Theory and Applications
Research
Advestis has been developing and operating ML algorithms in commercial production since 2013.
Since 2014, Advestis has grown an expertise in ESG features engineering
and solving complex problems involving them.
Explore our Research below
- 1 oct. 2020
Using Non-negative matrix factorization to classify companies
- 23 sept. 2020
A rigorous method to compare interpretability of rule-based algorithms
- 15 sept. 2020
Speed Cubing for Machine Learning - Episode 1
- 15 juil. 2020
Introduction to Generative Adversarial Networks
- 27 avr. 2020
A self-learning and interpretable investment strategy based on extra-financial data
- 2 déc. 2019
Tomographic weak lensing bispectrum: a thorough analysis towards the next gen of galaxy surveys
- 26 sept. 2019
Non-Gaussian cosmology: theoretical and statistical challenges for model galaxy surveys
- 17 sept. 2019
The WA105 project: a prototype of double phase liquid argon time projection chamber
- 27 mars 2019
Apprentissage supervisé pour la sélection d'actions
- 22 oct. 2018
ESG investments: Filtering versus Machine Learning approaches
- 19 oct. 2018
A 4 tonne demonstrator for large-scale dual-phase liquid argon time projection chambers