Search Results for author: Jiguo Cao

Found 10 papers, 4 papers with code

Functional Autoencoder for Smoothing and Representation Learning

no code implementations17 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.

Computational Efficiency Representation Learning

Neural Networks for Scalar Input and Functional Output

1 code implementation10 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.

regression

Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics

no code implementations8 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.

Disease Prediction

Functional Nonlinear Learning

1 code implementation22 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.

Representation Learning

Neural Networks as Functional Classifiers

1 code implementation9 Oct 2020 Barinder Thind, Kevin Multani, Jiguo Cao

In recent years, there has been considerable innovation in the world of predictive methodologies.

Classification General Classification

FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces

no code implementations18 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.

Deep Learning with Functional Inputs

3 code implementations17 Jun 2020 Barinder Thind, Kevin Multani, Jiguo Cao

We present a methodology for integrating functional data into deep densely connected feed-forward neural networks.

High-Dimensional Classification for Brain Decoding

no code implementations10 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.

Brain Decoding Classification +2

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