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
Do You Know the Logical Analysis of Data Methodology (LAD)?
Mode of Neonatal Delivery Influences the Nutrient Composition of Human Milk
A2Sign: Agnostic Algorithms for Signatures
Making use of supercomputers in financial machine learning
Model Pruning in Deep Neural Networks Using the Tensorflow API
Four interpretable algorithms that you should use in 2022
A Brief Overview of Methods to Explain AI (XAI)
A New Method to Compare the Interpretability of Rule-Based Algorithms
An original method to combine regression estimators in Python.
Online Bayesian inference for multiple changepoints and risk assessment
Speed Cubing for Machine Learning - Episode 3
How to deal with overlapping rules?
Consistent Regression using Data-Dependent Coverings
How to choose the best model?
How to measure interpretability?
Speed Cubing for Machine Learning - Episode 2
Interpretable Algorithms for Regression: Theory and Applications
Using Non-negative matrix factorization to classify companies
A rigorous method to compare interpretability of rule-based algorithms
Speed Cubing for Machine Learning - Episode 1