no code implementations • 17 Jan 2024 • Sidi Wu, Cédric Beaulac, Jiguo Cao
A common pipeline in functional data analysis is to first convert the discretely observed data to smooth functions, and then represent the functions by a finite-dimensional vector of coefficients summarizing the information.
1 code implementation • 10 Aug 2022 • Sidi Wu, Cédric Beaulac, Jiguo Cao
In this work, we propose a solution to this problem: a feed-forward neural network (NN) designed to predict a functional response using scalar inputs.
no code implementations • 8 Jul 2022 • Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo
A major issue in the association of genes to neuroimaging phenotypes is the high dimension of both genetic data and neuroimaging data.
no code implementations • 2 May 2022 • Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E Galvin, Lei Wang, Mirza Faisal Beg, the Alzheimer's Disease Neuroimaging Initiative
Combining MRI and genetic features improved survival prediction over using either modality alone, but adding CDC to any combination of features only worked as well as using only CDC features.
1 code implementation • 4 Oct 2021 • Cédric Beaulac
The solution we propose is a new metric for model comparison or regularization that relies on moments.
no code implementations • 4 Nov 2020 • Cédric Beaulac, Jeffrey S. Rosenthal
It contains high-resolution images of handwritten digits together with various writer characteristics which are not available in the well-known MNIST database.
no code implementations • 15 Jan 2020 • Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne Wolden, David Hodgson
We discuss the weaknesses of the CoxPH model we would like to improve upon and then we introduce multiple algorithms, from well-established ones to state-of-the-art models, that solve these issues.
no code implementations • 29 Nov 2018 • 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.
no code implementations • 26 Apr 2018 • Cédric Beaulac, Jeffrey S. Rosenthal
The main contribution of this paper is the development of a new decision tree algorithm.
no code implementations • 9 Feb 2018 • 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.
no code implementations • 9 Feb 2018 • Cédric Beaulac, Fabrice Larribe
We propose to use a supervised machine learning technique to track the location of a mobile agent in real time.