Apprentissage statistique pour la gestion technique de portefeuille

ApSTAT Technologies Inc. fournit aux compagnies d’assurances des systèmes analytiques basés sur des technologies exclusives d’exploration de données, permettant ainsi aux assureurs de maximiser la rentabilité de leurs opérations. La société travaille avec un important établissement financier en vue de mettre au point de nouveaux produits financiers basés sur des techniques d’apprentissage statistique. L’équipe de […]

Read More
Statistical Learning for Technical Portfolio Management

ApSTAT Technologies Inc. provides insurance companies with analytical systems based on exclusive data mining technologies, enabling insurers to maximize the profitability of their operations. The company is working with a large financial institution to develop new financial products based on statistical learning techniques. The research team based at l’Université de Montréal had two objectives. The […]

Read More
A Generative Model of Impulsive Sound Production and Propagation

The overall objective is to design a learning system that takes a training set of acoustic signals and produces a classifier that can identify the category of the acoustic signal, out of a small number of categories. We have already found that it is important to consider the factors of variation that can influence the […]

Read More
Classification of Acoustic Signals using Deep Learning Architectures

The classification of acoustic signals whose factors of variation are due to different atmospheric and sound propagation effect is a challenging problem. The internship will explore new learning algorithms for this application, which have the potential to capture some of the complex structure in the data.

Read More