Takip et
Ying-Ju Tessa Chen
Ying-Ju Tessa Chen
University of Dayton
udayton.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
How generative AI models such as ChatGPT can be (mis) used in SPC practice, education, and research? An exploratory study
FM Megahed, YJ Chen, JA Ferris, S Knoth, LA Jones-Farmer
Quality Engineering 36 (2), 287-315, 2024
1842024
A data analytic framework for physical fatigue management using wearable sensors
ZS Maman, YJ Chen, A Baghdadi, S Lombardo, LA Cavuoto, ...
Expert Systems with Applications 155, 113405, 2020
1192020
The class imbalance problem
FM Megahed, YJ Chen, A Megahed, Y Ong, N Altman, M Krzywinski
Nature methods 18 (11), 1270-1272, 2021
1032021
DPP: Deep predictor for price movement from candlestick charts
CC Hung, YJ Chen
Plos one 16 (6), e0252404, 2021
342021
A two-stage machine learning framework to predict heart transplantation survival probabilities over time with a monotonic probability constraint
HA Dolatsara, YJ Chen, C Evans, A Gupta, FM Megahed
Decision Support Systems 137, 113363, 2020
312020
Long-term analysis of glaciers and glacier lakes in the Central and Eastern Himalaya
V Agarwal, MVW de Vries, UK Haritashya, S Garg, JS Kargel, YJ Chen, ...
Science of the Total Environment 898, 165598, 2023
162023
Predicting the price movement from candlestick charts: a CNN-based approach
CC Hung, YJ Chen, SJ Guo, FC Hsu
International Journal of Ad Hoc and Ubiquitous Computing 34 (2), 111-120, 2020
162020
Adjusted jackknife empirical likelihood
YJ Chen, W Ning
arXiv preprint arXiv:1603.04093, 2016
142016
The inference on the location parameters under multivariate skew normal settings
Z Ma, YJ Chen, T Wang, W Peng
International Econometric Conference of Vietnam, 146-162, 2018
102018
Introducing ChatSQC: Enhancing statistical quality control with augmented AI
FM Megahed, YJ Chen, IM Zwetsloot, S Knoth, DC Montgomery, ...
Journal of Quality Technology 56 (5), 474-497, 2024
9*2024
Explaining predictive model performance: An experimental study of data preparation and model choice
H Ahady Dolatsara, YJ Chen, RD Leonard, FM Megahed, ...
Big Data 11 (3), 199-214, 2023
92023
From grouped to de-grouped data: a new approach in distribution fitting for grouped data
YJ Chen, T Miljkovic
Journal of Statistical Computation and Simulation 89 (2), 272-291, 2019
82019
Information approach for a lifetime change-point model based on the exponential-logarithmic distribution
YJ Chen, W Ning
Communications in Statistics-Simulation and Computation 48 (7), 1996-2003, 2019
42019
Jackknife empirical likelihood test for mean residual life functions
YJ Chen, W Ning, AK Gupta
Communications in Statistics-Theory and Methods 46 (7), 3111-3122, 2017
42017
Jackknife empirical likelihood method for testing the equality of two variances
YJ Chen, W Ning, AK Gupta
Journal of Applied Statistics 42 (1), 144-160, 2015
42015
Comparing classifier performance with baselines
FM Megahed, YJ Chen, LA Jones-Farmer, SE Rigdon, M Krzywinski, ...
Nature Methods 21 (4), 2024
22024
Inferences on location parameter in multivariate skew-normal family with unknown scale parameter
Z Ma, YJ Chen, T Wang, J Liu
Communications in Statistics-Simulation and Computation 51 (9), 5465-5481, 2022
22022
A new computational approach for estimation of the Gini index based on grouped data
T Miljkovic, YJ Chen
Computational Statistics 36 (3), 2289-2311, 2021
22021
Empirical likelihood based detection procedure for change point in mean residual life functions under random censorship
YJ Chen, W Ning, AK Gupta
Pharmaceutical Statistics 15 (3), 246-254, 2016
22016
Jackknife empirical likelihood test for changes in mean and variance
YJ Chen, W Ning, AK Gupta
Far East Journal of Theoretical Statistics, 2015
12015
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Makaleler 1–20