| Targeted information content delivery using a combination of environmental and demographic information R Wiggins, C Kelly, M Peterson, T Kelly US Patent App. 10/270,847, 2004 | 187 | 2004 |
| Evaluation of a wastewater-based epidemiological approach to estimate the prevalence of SARS-CoV-2 infections and the detection of viral variants in disparate Oregon … BA Layton, D Kaya, C Kelly, KJ Williamson, D Alegre, SM Bachhuber, ... Environmental health perspectives 130 (6), 067010, 2022 | 49 | 2022 |
| Machine learning feature analysis illuminates disparity between E3SM climate models and observed climate change JJ Nichol, MG Peterson, KJ Peterson, GM Fricke, ME Moses Journal of Computational and Applied Mathematics 395, 113451, 2021 | 20 | 2021 |
| Uncertainty quantification for machine learning DJ Stracuzzi, MG Chen, MC Darling, MG Peterson, C Vollmer Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017 | 17 | 2017 |
| Quantifying uncertainty to improve decision making in machine learning DJ Stracuzzi, MC Darling, MG Peterson, MG Chen Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 14 | 2018 |
| Data-driven uncertainty quantification for multisensor analytics DJ Stracuzzi, MC Darling, MG Chen, MG Peterson Ground/Air Multisensor Interoperability, Integration, and Networking for …, 2018 | 14 | 2018 |
| Wastewater-based epidemiology predicts COVID-19 community prevalence B Layton, D Kaya, C Kelly, K Williamson, S Bachhuber, P Banwarth, ... Research Square, 2021 | 9 | 2021 |
| Dynamic tuning of seismic signal detector trigger levels for local networks TJ Draelos, MG Peterson, HA Knox, BJ Lawry, KE Phillips‐Alonge, ... Bulletin of the Seismological Society of America 108 (3A), 1346-1354, 2018 | 9 | 2018 |
| Arctic Tipping Points Triggering Global Change (LDRD Final Report) KJ Peterson, AJ Powell, IK Tezaur, EL Roesler, J Nichol, MG Peterson, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2020 | 5 | 2020 |
| Using data-driven uncertainty quantification to support decision making C Vollmer, M Peterson, DJ Stracuzzi, MG Chen STATISTICAL DATA SCIENCE, 141-153, 2018 | 4 | 2018 |
| Learning Why: Data-Driven Causal Evaluations of Climate Models. J Nichol, M Peterson, M Fricke Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021 | 3 | 2021 |
| Generating uncertainty distributions for seismic signal onset times M Peterson, C Vollmer, R Brogan, DJ Stracuzzi, CJ Young Bulletin of the Seismological Society of America 111 (1), 11-20, 2021 | 3 | 2021 |
| Preliminary results on uncertainty quantification for pattern analytics DJ Stracuzzi, R Brost, MG Chen, R Malinas, MG Peterson, CA Phillips, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2015 | 3 | 2015 |
| KeyBin2: Distributed Clustering for Scalable and In-Situ Analysis X Chen, J Benson, M Peterson, M Taufer, T Estrada Proceedings of the 47th International Conference on Parallel Processing, 1-10, 2018 | 2 | 2018 |
| Uncertainty in Data Analytics. DJ Stracuzzi, MG Chen, MC Darling, SM Dauphin, MG Peterson, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | 2 | 2016 |
| Machine learning classification and reduction of cad parts SJ Owen, AJ Carbajal, MG Peterson, CD Ernst International Meshing Roundtable, 93-114, 2023 | 1 | 2023 |
| Method for enhancing a computer to estimate an uncertainty of an onset of a signal of interest in time-series noisy data DJ Stracuzzi, MG Peterson, CT Vollmer US Patent 10,859,721, 2020 | 1 | 2020 |
| UQ Pipeline for Seismic Onset Detection. MG Peterson, DJ Stracuzzi Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 1 | 2018 |
| Data-Driven Uncertainty Quantification Interpretation with High Density Regions MG Peterson The University of New Mexico, 2018 | 1 | 2018 |
| Tensor toolbox: Wrapping to PYTHON using SWIG MG Peterson, DM Dunlavy CCR, 188, 2014 | 1 | 2014 |
David J StracuzziSandia National Laboratoriesایمیل تأیید شده در sandia.gov