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.
1 code implementation • 22 Jun 2022 • Haixu Wang, Jiguo Cao
For that matter, this paper proposes a functional nonlinear learning (FunNoL) method to sufficiently represent multivariate functional data in a lower-dimensional feature space.
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.
no code implementations • 11 Mar 2022 • Ghazal Mirabnahrazam, Da Ma, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, Lei Wang, James E Galvin, Mirza Faisal Beg, the Alzheimer's Disease Neuroimaging Initiative
Using a pre-defined 0. 5 threshold on DAT scores, we predicted whether or not a subject would develop DAT in the future.
1 code implementation • 9 Oct 2020 • Barinder Thind, Kevin Multani, Jiguo Cao
In recent years, there has been considerable innovation in the world of predictive methodologies.
no code implementations • 18 Sep 2020 • Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao
Neural networks have excelled at regression and classification problems when the input space consists of scalar variables.
3 code implementations • 17 Jun 2020 • Barinder Thind, Kevin Multani, Jiguo Cao
We present a methodology for integrating functional data into deep densely connected feed-forward neural networks.
no code implementations • 10 Apr 2015 • Nicole Croteau, Farouk S. Nathoo, Jiguo Cao, Ryan Budney
Brain decoding involves the determination of a subject's cognitive state or an associated stimulus from functional neuroimaging data measuring brain activity.