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
Introduction to Generative Adversarial Networks
A self-learning and interpretable investment strategy based on extra-financial data
Non-Gaussian cosmology: theoretical and statistical challenges for model galaxy surveys
Apprentissage supervisé pour la sélection d'actions
ESG investments: Filtering versus Machine Learning approaches
Rule Induction Partitioning Estimator
AdLearn : Un Algorithme d'Apprentissage Interprétable
Rule Extraction from Large Numerical Datasets: Construction of ESG Signals
Classification of acoustic emission signals using wavelets and Random Forests : Application to localized corrosion
A Resolution Method for Quantified Modal Logics of Knowledge and Belief
Reconnaissance Biométrique par Fusion Multimodale du Visage et de l’Iris
Fourier Inversion and Wavelet Transform Methods Applied to X-Ray Reflectometry and HRXRD Profiles...
Initiation aux ondelettes