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Han Ye
Han Ye
Verified email at lehigh.edu
Title
Cited by
Cited by
Year
Modeling and forecasting call center arrivals: A literature survey and a case study
R Ibrahim, H Ye, P L’Ecuyer, H Shen
International Journal of Forecasting 32 (3), 865-874, 2016
1192016
Service times in call centers: Agent heterogeneity and learning with some operational consequences
N Gans, N Liu, A Mandelbaum, H Shen, H Ye
Borrowing Strength: Theory Powering Applications–A Festschrift for Lawrence …, 2010
822010
Semi-Orthogonal Non-Negative Matrix Factorization
JY Li, R Zhu, A Qu, H Ye, Z Sun
arXiv preprint arXiv:1805.02306, 2018
36*2018
Call center issue resolution estimation based on probabilistic models
S Zhao, H Ye
US Patent 8,787,552, 2014
212014
Call Center Arrivals: When to Jointly Forecast Multiple Streams?
H Ye, J Luedtke, H Shen
Production and Operations Management 28 (1), 27-42, 2019
162019
Who may benefit from lower dosages of intravenous tissue plasminogen activator? Results from a cluster data analysis
Y Dong, Y Han, H Shen, Y Wang, F Ma, H Li, Y Wang, Q Dong
Stroke and Vascular Neurology 5 (4), 2020
142020
Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization
Y Li, R Zhu, A Qu, H Ye, Z Sun
Journal of the American Statistical Association, 1-16, 2021
52021
Methods and systems for assessing the efficiency of call center operations
H Ye, S Zhao
US Patent 9,148,511, 2015
52015
A behavioral perspective on service center routing: The role of inertia
A Schecter, KD Wowak, N Berente, H Ye, U Mukherjee
Journal of Operations Management, 2021
42021
Demand estimation of mass‐gathering healthcare in developing countries: The case of Kumbh Mela in India
T Zhao, H Ye, UK Mukherjee, D Chhajed
Naval Research Logistics (NRL), 2021
32021
Hazard rate estimation for call center customer patience time
H Ye, LD Brown, H Shen
IISE Transactions 52 (8), 890-903, 2020
22020
Adaptively leveraging external data with robust meta‐analytical‐predictive prior using empirical Bayes
H Zhang, Y Shen, J Li, H Ye, AY Chiang
Pharmaceutical Statistics, 2023
2023
Recommending encounters according to the sociodemographic characteristics of patient strata can reduce risks from type 2 diabetes
H Ye, UK Mukherjee, D Chhajed, J Hirsbrunner, C Roloff
Plos one 16 (4), e0249084, 2021
2021
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