Karl Timothy LeRoy Pazdernik

Works (6)

Updated: July 5th, 2023 14:42

2022 journal article

A Comparison of Infectious Disease Forecasting Methods across Locations, Diseases, and Time


By: S. Dixon*, R. Keshavamurthy*, D. Farber*, A. Stevens*, K. Pazdernik n & L. Charles*

author keywords: infectious disease forecasting; prediction; big data; multi-feature fusion; machine learning; deep learning; GLARMA; campylobacteriosis; typhoid; Q-fever
Source: Web Of Science
Added: July 11, 2022

2022 journal article

Dynamic logistic regression and variable selection: Forecasting and contextualizing civil unrest


By: J. Bakerman, K. Pazdernik*, G. Korkmaz & A. Wilson*

author keywords: Civil unrest; Dynamic logistic regression; Forecasting; Polya-Gamma latent variable; Penalized credible regions
Sources: Web Of Science, ORCID
Added: September 4, 2021

2022 journal article

Predicting infectious disease for biopreparedness and response: A systematic review of machine learning and deep learning approaches


By: R. Keshavamurthy, S. Dixon, K. Pazdernik* & L. Charles

author keywords: Systematic review; Infectious diseases; Disease prediction; Disease forecast; Machine learning; Deep learning
Source: Web Of Science
Added: November 14, 2022

2021 article

Estimating basis functions in massive fields under the spatial mixed effects model

Pazdernik, K., & Maitra, R. (2021, July 31). STATISTICAL ANALYSIS AND DATA MINING.

By: K. Pazdernik n & R. Maitra*

author keywords: alternating expectation conditional maximization algorithm; bandwidth; basis functions; fixed rank kriging; maximum likelihood estimation; range parameter
Source: Web Of Science
Added: August 16, 2021

2020 journal article

Microstructural classification of unirradiated LiAlO2 pellets by deep learning methods


By: K. Pazdernik*, N. LaHaye*, C. Artman n & Y. Zhu*

author keywords: Deep convolutional neural network; Scanning electron microscopy; Spatial point process; Image segmentation
Source: Web Of Science
Added: July 20, 2020

2018 journal article

Twitter geolocation: A hybrid approach

ACM Transactions on Knowledge Discovery from Data, 12(3).

By: J. Bakerman, K. Pazdernik, A. Wilson, G. Fairchild & R. Bahran

Source: NC State University Libraries
Added: August 6, 2018