Kary Myers

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James AhrensLos Alamos National LaboratoryDirección de correo verificada de lanl.gov
Jon WoodringLos Alamos National LaboratoryDirección de correo verificada de lanl.gov
Earl LawrenceLos Alamos National LaboratoryDirección de correo verificada de lanl.gov
Joanne Wendelberger (J JR)Statistical Sciences Group, Los Alamos National LaboratoryDirección de correo verificada de lanl.gov
Steven P. BrumbyImpact ObservatoryDirección de correo verificada de impactobservatory.com
Boonthanome NouanesengsyLos Alamos National LaboratoryDirección de correo verificada de lanl.gov
Lu LuUniversity of South FloridaDirección de correo verificada de usf.edu
Yu SuResearch Scientist of Facebook Inc.Dirección de correo verificada de fb.com
Gagan AgrawalDirector of School of Computing and UGA Foundation Professor, University of GeorgiaDirección de correo verificada de uga.edu
John PatchettStaff Scientist, Los Alamos National LaboratoryDirección de correo verificada de lanl.gov
Andrew HoeghAssistant Professor of Statistics Montana State UniversityDirección de correo verificada de montana.edu
Michael KearnsProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de cis.upenn.edu
Satinder SinghGoogle DeepMind / U. of MichiganDirección de correo verificada de umich.edu
Marilyn WalkerProfessor of Computer Science and Engineering, University of California Santa CruzDirección de correo verificada de ucsc.edu
Dave HigdonVirginia TechDirección de correo verificada de vt.edu
Claire McKay BowenUrban InstituteDirección de correo verificada de urban.org
Rémi MunosGoogle DeepMindDirección de correo verificada de inria.fr
michael hamadalos alamos national laboratory (retired)Dirección de correo verificada de lanl.gov
Hugh ChipmanProfessor of Statistics, Acadia UniversityDirección de correo verificada de acadiau.ca

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Kary Myers

Los Alamos National Laboratory

Dirección de correo verificada de lanl.gov


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A boosting approach to topic spotting on subdialogues K Myers, M Kearns, S Singh, MA Walker Family Life 27 (3), 1, 2000	54	2000
Adr visualization: A generalized framework for ranking large-scale scientific data using analysis-driven refinement B Nouanesengsy, J Woodring, J Patchett, K Myers, J Ahrens 2014 IEEE 4th symposium on large data analysis and visualization (ldav), 43-50, 2014	51	2014
Alarm criteria in radiation portal monitoring T Burr, JR Gattiker, K Myers, G Tompkins Applied Radiation and Isotopes 65 (5), 569-580, 2007	45	2007
Partitioning a large simulation as it runs K Myers, E Lawrence, M Fugate, CMK Bowen, L Ticknor, J Woodring, ... Technometrics 58 (3), 329-340, 2016	39*	2016
Taming massive distributed datasets: data sampling using bitmap indices Y Su, G Agrawal, J Woodring, K Myers, J Wendelberger, J Ahrens Proceedings of the 22nd international symposium on High-performance parallel …, 2013	38	2013
Effective and efficient data sampling using bitmap indices Y Su, G Agrawal, J Woodring, K Myers, J Wendelberger, J Ahrens Cluster computing 17, 1081-1100, 2014	26	2014
Data for training and testing radiation detection algorithms in an urban environment JM Ghawaly, AD Nicholson, DE Peplow, CM Anderson-Cook, KL Myers, ... Scientific data 7 (1), 1-6, 2020	24	2020
Roles for process monitoring in nuclear safeguards at aqueous reprocessing plants T Burr, K Budlong-Sylvester, K Myers, S Demuth, A Bakel, J Krebs, ... Journal of Nuclear Materials Management 40 (2), 42-52, 2012	20	2012
Gaussian process-based sensitivity analysis and bayesian model calibration with gpmsa JR Gattiker, KL Myers, BJ Williams, D Higdon, M Carzolio, A Hoegh Handbook of uncertainty quantification, 1867-1907, 2017	19	2017
How to host an effective data competition: Statistical advice for competition design and analysis CM Anderson‐Cook, KL Myers, L Lu, ML Fugate, KR Quinlan, N Pawley Statistical Analysis and Data Mining: The ASA Data Science Journal 12 (4 …, 2019	15*	2019
Effects of background suppression of gamma counts on signal estimation T Burr, K Myers Applied Radiation and Isotopes 67 (9), 1729-1737, 2009	15	2009
Randomized algorithms for scientific computing (RASC) A Buluc, TG Kolda, SM Wild, M Anitescu, A Degennaro, J Jakeman, ... arXiv preprint arXiv:2104.11079, 2021	14	2021
Signatures for several types of naturally occurring radioactive materials T Burr, K Myers Applied Radiation and Isotopes 66 (9), 1250-1261, 2008	14	2008
Improved learning from data competitions through strategic design of training and test data sets CM Anderson-Cook, L Lu, KL Myers, KR Quinlan, N Pawley Quality Engineering 31 (4), 564-580, 2019	12	2019
Sparse classification of RF transients using chirplets and learned dictionaries DI Moody, SP Brumby, KL Myers, NH Pawley 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals …, 2011	11	2011
Classification of transient signals using sparse representations over adaptive dictionaries DI Moody, SP Brumby, KL Myers, NH Pawley Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and …, 2011	11	2011
Radio frequency (RF) transient classification using sparse representations over learned dictionaries DI Moody, SP Brumby, KL Myers, NH Pawley Wavelets and Sparsity XIV 8138, 458-465, 2011	9	2011
An adaptive modeling framework for bivariate data streams with applications to change detection in cyber-physical systems J Plasse, J Noble, K Myers 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1074-1081, 2017	8	2017
Capturing dynamics on multiple time scales: a multilevel fusion approach for cluttered electromagnetic data SP Brumby, KL Myers, NH Pawley Multisensor, Multisource Information Fusion: Architectures, Algorithms, and …, 2010	7	2010
Handbook of uncertainty quantification J Gattiker, K Myers, B Williams, D Higdon, M Carzolio, A Hoegh Springer: Cham, Switzerland,, 2017	6	2017

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