Advestis
How to deal with overlapping rules?
V. Margot, Towards Data Science, February 17th, 2021.
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
Rechercher
Advestis
- 17 févr. 2021
Applying separative non-negative matrix factorization to extra-financial data
P. Fogel, C. Geissler, P. Cotte and G. Luta. Bankers Markets & Investors: an academic & professional review, Groupe Banque, In press. Feb21.
Advestis
- 26 janv. 2021
Consistent Regression using Data-Dependent Coverings
V. Margot, JP. Baudry, F. Guilloux and O. Wintenberger. Electronic Journal of Statistics 15(1)1743 - 1782, 2021.
Advestis
- 18 déc. 2020
How to choose the best model?
V. Margot, Towards Data Science, December 18th, 2020.
Advestis
- 26 nov. 2020
Accelerating Pandas concatenation
P. Cotte, Towards Data Science, November 26th, 2020.
Advestis
- 21 nov. 2020
How to measure interpretability?
V. Margot, Towards Data Science, November 21st, 2020.
Advestis
- 20 nov. 2020
Speed Cubing for Machine Learning - Episode 2
N. Morizet, Towards Data Science, November 20th, 2020.
Advestis
- 1 oct. 2020
Interpretable Algorithms for Regression: Theory and Applications
V. Margot, PhD Thesis, Sorbonne Université, October 2nd, 2020.
Advestis
- 1 oct. 2020
Using Non-negative matrix factorization to classify companies
C. Geissler, Towards Data Science, October 1st, 2020.
Advestis
- 23 sept. 2020
A rigorous method to compare interpretability of rule-based algorithms
V. Margot, Preprint, 2020.
Advestis
- 15 sept. 2020
Speed Cubing for Machine Learning - Episode 1
N. Morizet, Towards Data Science, September 15th, 2020.
Advestis
- 15 juil. 2020
Introduction to Generative Adversarial Networks
N. Morizet, Advestis Tech Report, July 2020.
Advestis
- 27 avr. 2020
A self-learning and interpretable investment strategy based on extra-financial data
C. Geissler, V. Margot, Chaire DAMI, September 2020.
Advestis
- 2 déc. 2019
Tomographic weak lensing bispectrum: a thorough analysis towards the next gen of galaxy surveys
M. Rizzato. Monthly Notices of the Royal Astronomical Society, vol 490, issue 4, pp.4688-4714, December 2019.
Advestis
- 25 sept. 2019
Non-Gaussian cosmology: theoretical and statistical challenges for model galaxy surveys
M. Rizzato. PhD Thesis, 26th September 2019, Institut d'Astrophysique de Paris.
Advestis
- 16 sept. 2019
The WA105 project: a prototype of double phase liquid argon time projection chamber
P. Cotte. Thèse de Doctorat, 2019, Université Paris-Saclay.
Advestis
- 27 mars 2019
Apprentissage supervisé pour la sélection d'actions
C. Geissler, V. Margot, Chaire DAMI, March 27th 2019.
Advestis
- 22 oct. 2018
ESG investments: Filtering versus Machine Learning approaches
C. Geissler, V. Margot et al. The 7th Public Investors Conference, October 22nd, 2018, Rome, Italy.
Advestis
- 18 oct. 2018
A 4 tonne demonstrator for large-scale dual-phase liquid argon time projection chambers
B. Aimard, P. Cotte et al. JINST 13 2018 no.11, P11003, 2018.
Advestis
- 11 juil. 2018
Rule Induction Partitioning Estimator
V. Margot, JP. Baudry, F. Guilloux and O. Wintenberger. MLDM2018, LNCS, vol 10935. Springer.