| Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: version 6.13 user's … BM Adams, WJ Bohnhoff, KR Dalbey, MS Ebeida, JP Eddy, MS Eldred, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 1621* | 2020 |
| Distributed hyperparameter tuning system for machine learning PN Koch, BA Wujek, OB Golovidov, SJ Gardner, JD Griffin, SR Pope, Y Xu US Patent 10,360,517, 2019 | 113 | 2019 |
| Bayesian guided pattern search for robust local optimization MA Taddy, HKH Lee, GA Gray, JD Griffin Technometrics 51 (4), 389-401, 2009 | 111 | 2009 |
| Autotune: A derivative-free optimization framework for hyperparameter tuning P Koch, O Golovidov, S Gardner, B Wujek, J Griffin, Y Xu Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 110 | 2018 |
| Genome-Wide Association Study of Resistance to Soybean Cyst Nematode (Heterodera glycines) HG Type 2.5.7 in Wild Soybean (Glycine soja) H Zhang, C Li, EL Davis, J Wang, JD Griffin, J Kofsky, BH Song Frontiers in Plant Science 7, 1214, 2016 | 87 | 2016 |
| Asynchronous parallel generating set search for linearly constrained optimization JD Griffin, TG Kolda, RM Lewis SIAM Journal on Scientific Computing 30 (4), 1892-1924, 2008 | 83 | 2008 |
| Iterative methods for finding a trust-region step JB Erway, PE Gill, JD Griffin SIAM Journal on Optimization 20 (2), 1110-1131, 2009 | 71 | 2009 |
| Iterative solution of augmented systems arising in interior methods A Forsgren, PE Gill, JD Griffin SIAM Journal on Optimization 18 (2), 666-690, 2007 | 68 | 2007 |
| Combining Monolithic Zirconia Crowns, Digital Impressioning, and Regenerative Cement for a Predictable Restorative Alternative to PFM. JD Griffin Jr Compendium of Continuing Education in Dentistry (15488578) 34 (3), 2013 | 45 | 2013 |
| Genetic architecture of wild soybean (Glycine soja) response to soybean cyst nematode (Heterodera glycines) H Zhang, Q Song, JD Griffin, BH Song Molecular Genetics and Genomics 292 (6), 1257-1265, 2017 | 43 | 2017 |
| Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations JB Erway, J Griffin, RF Marcia, R Omheni Optimization Methods and Software 35 (3), 460-487, 2020 | 40 | 2020 |
| Nonlinearly constrained optimization using heuristic penalty methods and asynchronous parallel generating set search JD Griffin, TG Kolda Applied Mathematics Research eXpress 2010 (1), 36-62, 2010 | 40 | 2010 |
| Asynchronous parallel hybrid optimization combining DIRECT and GSS JD Griffin, TG Kolda Optimization Methods & Software 25 (5), 797-817, 2010 | 39 | 2010 |
| Nonlinearly-constrained optimization using asynchronous parallel generating set search. JD Griffin, TG Kolda Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2007 | 28 | 2007 |
| Extracting clusters from large datasets with multiple similarity measures using IMSCAND TM Selee, TG Kolda, WP Kegelmeyer, JD Griffin CSRI Summer Proceedings, 87-103, 2007 | 27 | 2007 |
| Support vector machine classifiers for large data sets. EM Gertz, JD Griffin Argonne National Lab.(ANL), Argonne, IL (United States), 2006 | 21 | 2006 |
| Constrained multi-objective optimization for automated machine learning S Gardner, O Golovidov, J Griffin, P Koch, W Thompson, B Wujek, Y Xu 2019 IEEE International conference on data science and advanced analytics …, 2019 | 19 | 2019 |
| Hybrid optimization schemes for simulation-based problems GA Gray, K Fowler, JD Griffin Procedia Computer Science 1 (1), 1349-1357, 2010 | 17 | 2010 |
| Using an iterative linear solver in an interior-point method for generating support vector machines EM Gertz, JD Griffin Computational Optimization and Applications 47, 431-453, 2010 | 16 | 2010 |
| Derivative-free optimization via evolutionary algorithms guiding local search JD Griffin, KR Fowler, GA Gray, T Hemker, MD Parno Sandia National Laboratories, Albuquerque, NM, Tech. Rep. SAND2010-3023J, 2010 | 16 | 2010 |
