167 citations · 272 across the 13 of their papers we have counts for
4 papers · 1 filter
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis
Cédric Beaulac, Jeffrey S. Rosenthal, David Hodgson
In the following short article we adapt a new and popular machine learning model for inference on medical data sets. Our method is based on the Variational AutoEncoder (VAE) framew…
BEST : A decision tree algorithm that handles missing values
Cédric Beaulac, Jeffrey S. Rosenthal
The main contribution of this paper is the development of a new decision tree algorithm. The proposed approach allows users to guide the algorithm through the data partitioning pro…
Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agents Location Using Hidden Markov Models
Cédric Beaulac, Fabrice Larribe
We propose to use a supervised machine learning technique to track the location of a mobile agent in real time. Hidden Markov Models are used to build artificial intelligence that…
Predicting University Students' Academic Success and Major using Random Forests
Cédric Beaulac, Jeffrey S. Rosenthal
In this article, a large data set containing every course taken by every undergraduate student in a major university in Canada over 10 years is analysed. Modern machine learning al…