Charles K. Fisher

Orcid: 0000-0002-8835-1096

According to our database1, Charles K. Fisher authored at least 15 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Neural Boltzmann Machines.
CoRR, 2023

2022
Can RBMs be trained with zero step contrastive divergence?
CoRR, 2022

2020
Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins.
CoRR, 2020

Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks.
CoRR, 2020

Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.
BMC Bioinform., 2020

2019
Generating Synthetic Control Patients Using Machine Learning for Alzheimer's Disease Clinical Trials.
Proceedings of the AMIA 2019, 2019

2018
Using deep learning for comprehensive, personalized forecasting of Alzheimer's Disease progression.
CoRR, 2018

Boltzmann Encoded Adversarial Machines.
CoRR, 2018

A high-bias, low-variance introduction to Machine Learning for physicists.
CoRR, 2018

2017
Variable habitat conditions drive species covariation in the human microbiota.
PLoS Comput. Biol., 2017

2015
Bayesian Feature Selection with Strongly Regularizing Priors Maps to the Ising Model.
Neural Comput., 2015

Bayesian feature selection for high-dimensional linear regression via the Ising approximation with applications to genomics.
Bioinform., 2015

2014
Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation.
CoRR, 2014

Variational Pseudolikelihood for Regularized Ising Inference.
CoRR, 2014

2012
Efficient Construction of Disordered Protein Ensembles in a Bayesian Framework with Optimal Selection of Conformations.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012


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