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Karl Pazdernik
Karl Pazdernik
Verified email at pnnl.gov
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Cited by
Year
Twitter geolocation: A hybrid approach
J Bakerman, K Pazdernik, A Wilson, G Fairchild, R Bahran
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (3), 1-17, 2018
542018
Predicting infectious disease for biopreparedness and response: A systematic review of machine learning and deep learning approaches
R Keshavamurthy, S Dixon, KT Pazdernik, LE Charles
One Health 15, 100439, 2022
182022
Microstructural classification of unirradiated LiAlO2 pellets by deep learning methods
K Pazdernik, NL LaHaye, CM Artman, Y Zhu
Computational Materials Science 181, 109728, 2020
172020
A comparison of infectious disease forecasting methods across locations, diseases, and time
S Dixon, R Keshavamurthy, DH Farber, A Stevens, KT Pazdernik, ...
Pathogens 11 (2), 185, 2022
72022
NukeLM: Pre-trained and fine-tuned language models for the nuclear and energy domains
L Burke, K Pazdernik, D Fortin, B Wilson, R Goychayev, J Mattingly
arXiv preprint arXiv:2105.12192, 2021
72021
Dynamic logistic regression and variable selection: Forecasting and contextualizing civil unrest
J Bakerman, K Pazdernik, G Korkmaz, AG Wilson
International Journal of Forecasting 38 (2), 648-661, 2022
52022
Evaluation of Sampling and Testing Efficiencies of Plum pox virus Eradication Programs in Pennsylvania and Ontario
AV Gougherty, KT Pazdernik, MS Kaiser, FW Nutter Jr
Plant Disease 99 (9), 1247-1253, 2015
52015
Modeling the spread of plant disease using a sequence of binary random fields with absorbing states
MS Kaiser, KT Pazdernik, AB Lock, FW Nutter
Spatial Statistics 9, 38-50, 2014
52014
Murky waters: Farm pollution stalls cleanup of Iowa streams
C Cox, A Hug
Washington, DC, Environmental Working Group 52, 2012
52012
DBCal: Density based calibration of classifier predictions for uncertainty quantification
A Hagen, K Pazdernik, N LaHaye, M Oostrom
arXiv preprint arXiv:2204.00150, 2022
22022
Reduced basis kriging for big spatial fields
K Pazdernik, R Maitra, D Nychka, S Sain
Sankhya A 80, 280-300, 2018
22018
Estimating basis functions in massive fields under the spatial mixed effects model
K Pazdernik, R Maitra
Statistical Analysis and Data Mining: The ASA Data Science Journal 14 (5 …, 2021
1*2021
Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance
A Hagen, S Jackson, J Kahn, J Strube, I Haide, K Pazdernik, C Hainje
arXiv preprint arXiv:2106.13706, 2021
12021
A partial-volume correction for quantitative spectral X-ray radiography
WC Gillis, AJ Gilbert, K Pazdernik, A Erickson
IEEE Transactions on Nuclear Science 67 (11), 2321-2328, 2020
12020
Determining Individual Origin Similarity (DInOS): Binary Classification of Authors Using Stylometric Features
A Kingsland, D Fortin, E Cary, S Smith, K Pazdernik, R Perko
arXiv preprint arXiv:1912.03750, 2019
12019
On the Behavior of Audio-Visual Fusion Architectures in Identity Verification Tasks
D Claborne, E Slyman, K Pazdernik
arXiv preprint arXiv:2311.05071, 2023
2023
Testing and Evaluation of Data Analytic Approaches for Nonproliferation
D Anderson, S Stewart, A Skurikhin, K Pazdernik, J Brogan, N Martindale
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023
2023
Dynamic Network Analysis of Nuclear Science Literature for Research Influence Assessment
S Chatterjee, D Thomas, D Fortin, K Pazdernik, B Wilson, L Newburn
ESARDA Bulletin 65 (PNNL-SA-166748), 2023
2023
Correlated Belief Matching for Uncertainty Quantification in Text Classification
A Hollis, K Pazdernik, A Wilson, R Smith
2023
NukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy
L Burke, K Pazdernik, D Fortin, B Wilson, R Goychayev, J Mattingly
ESARDA Bulletin 63, 30-40, 2021
2021
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