Gayla R. Olbricht

Orcid: 0000-0002-1213-2241

Affiliations:
  • Missouri University of Science and Technology, Rolla, MO, USA


According to our database1, Gayla R. Olbricht authored at least 12 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids.
CoRR, 2024

Multiple Imputation for Robust Cluster Analysis to Address Missingness in Medical Data.
IEEE Access, 2024

2022
Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021
A deep learning model to predict traumatic brain injury severity and outcome from MR images.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

2020
Evaluation of standard and semantically-augmented distance metrics for neurology patients.
BMC Medical Informatics Decis. Mak., 2020

An Explainable and Statistically Validated Ensemble Clustering Model Applied to the Identification of Traumatic Brain Injury Subgroups.
IEEE Access, 2020

Predictive Modeling of Sports-Related Concussions using Clinical Assessment Metrics.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Statistical Comparative Analysis and Evaluation of Validation Indices for Clustering Optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Exploratory Analysis of Concussion Recovery Trajectories using Multi-modal Assessments and Serum Biomarkers.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017
Assessing Freshman Engineering Students' Understanding of Ethical Behavior.
Sci. Eng. Ethics, 2017

Genetic variant analysis of boys with Autism: A pilot study on linking facial phenotype to genotype.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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