Follow
Jennifer Lewis Priestley
Jennifer Lewis Priestley
Professor of Statistics, Kennesaw State University
Verified email at kennesaw.edu - Homepage
Title
Cited by
Cited by
Year
The art and science of learning from data
A Agresti, C Franklin
Upper Saddle River, New Jersey 88, 2007
6632007
Neural networks in business forecasting
GP Zhang
IGI global, 2004
2962004
A randomized clinical trial comparing pelvic floor muscle training to a Pilates exercise program for improving pelvic muscle strength
PJ Culligan, J Scherer, K Dyer, JL Priestley, G Guingon-White, ...
International urogynecology journal 21, 401-408, 2010
2052010
Encyclopedia of communities of practice in information and knowledge management
E Coakes, S Clarke
IGI Global, 2005
1202005
“I’m not Working from Home, I’m Living at Work”: Perceived Stress and Work-Related Burnout before and during COVID-19
SW Hayes, JL Priestley, N Ishmakhametov, HE Ray
PsyArXiv, 2020
1072020
Predictive validity of a training protocol using a robotic surgery simulator
P Culligan, E Gurshumov, C Lewis, J Priestley, J Komar, C Salamon
Urogynecology 20 (1), 48-51, 2014
912014
The expanded view of individualism and collectivism: One, two, or four dimensions?
K Fatehi, JL Priestley, G Taasoobshirazi
International Journal of Cross Cultural Management 20 (1), 7-24, 2020
892020
Perceived stress, work-related burnout, and working from home before and during COVID-19: An examination of workers in the United States
SW Hayes, JL Priestley, BA Moore, HE Ray
Sage Open 11 (4), 21582440211058193, 2021
882021
Subjective and objective results 1 year after robotic sacrocolpopexy using a lightweight Y-mesh
PJ Culligan, E Gurshumov, C Lewis, JL Priestley, J Komar, N Shah, ...
International urogynecology journal 25, 731-735, 2014
592014
Porcine dermis compared with polypropylene mesh for laparoscopic sacrocolpopexy: a randomized controlled trial
PJ Culligan, C Salamon, JL Priestley, A Shariati
Obstetrics & Gynecology 121 (1), 143-151, 2013
592013
Prospective study of an ultra-lightweight polypropylene Y mesh for robotic sacrocolpopexy
CG Salamon, C Lewis, J Priestley, E Gurshumov, PJ Culligan
International urogynecology journal 24, 1371-1375, 2013
472013
A2text-net: A novel deep neural network for sarcasm detection
L Liu, JL Priestley, Y Zhou, HE Ray, M Han
2019 IEEE first international conference on cognitive machine intelligence …, 2019
452019
Multi-organizational networks: three antecedents of knowledge transfer
JL Priestley, S Samaddar
International Journal of Knowledge Management (IJKM) 3 (1), 86-99, 2007
432007
The validity of online patient ratings of physicians: analysis of physician peer reviews and patient ratings
RJ McGrath, JL Priestley, Y Zhou, PJ Culligan
Interactive Journal of Medical Research 7 (1), e9350, 2018
422018
Evaluation of a transvaginal mesh delivery system for the correction of pelvic organ prolapse: subjective and objective findings at least 1 year after surgery
PJ Culligan, PM Littman, CG Salamon, JL Priestley, A Shariati
American journal of obstetrics and gynecology 203 (5), 506. e1-506. e6, 2010
402010
Long-term outcomes of robotic-assisted laparoscopic sacrocolpopexy using lightweight Y-mesh
PJ Culligan, C Lewis, J Priestley, N Mushonga
Urogynecology 26 (3), 202-206, 2020
322020
A descriptive study of variable discretization and cost-sensitive logistic regression on imbalanced credit data
L Zhang, H Ray, J Priestley, S Tan
Journal of Applied Statistics 47 (3), 568-581, 2020
272020
Deep kernel: learning kernel function from data using deep neural network
L Le, J Hao, Y Xie, J Priestley
Proceedings of the 3rd IEEE/ACM international conference on big data …, 2016
262016
Sexual function before and 1 year after laparoscopic sacrocolpopexy
CG Salamon, CM Lewis, J Priestley, PJ Culligan
Urogynecology 20 (1), 44-47, 2014
242014
A comparison of decision tree with logistic regression model for prediction of worst non-financial payment status in commercial credit
MPH Rudd, JM GStat, JL Priestley
212017
The system can't perform the operation now. Try again later.
Articles 1–20