| 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 | 99 | 2020 |
| 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 | 94 | 2024 |
| The class imbalance problem FM Megahed, YJ Chen, A Megahed, Y Ong, N Altman, M Krzywinski Nat Methods 18 (11), 1270-7, 2021 | 54 | 2021 |
| DPP: Deep predictor for price movement from candlestick charts CC Hung, YJ Chen Plos one 16 (6), e0252404, 2021 | 26 | 2021 |
| 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 | 22 | 2020 |
| 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 | 11 | 2020 |
| 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 | 10 | 2018 |
| Adjusted jackknife empirical likelihood YJ Chen, W Ning arXiv preprint arXiv:1603.04093, 2016 | 10 | 2016 |
| 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 | 8 | 2019 |
| AI and the Future of Work in Statistical Quality Control: Insights from a First Attempt to Augmenting ChatGPT with an SQC Knowledge Base (ChatSQC) FM Megahed, YJ Chen, I Zwetsloot, S Knoth, DC Montgomery, ... arXiv preprint arXiv:2308.13550, 2023 | 5 | 2023 |
| 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 | 5 | 2023 |
| 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 | 4 | 2023 |
| 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 | 4 | 2017 |
| 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 | 4 | 2015 |
| 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 | 3 | 2019 |
| 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 | 2 | 2022 |
| 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 | 2 | 2021 |
| 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 | 1 | 2016 |
| Jackknife empirical likelihood test for changes in mean and variance YJ Chen, W Ning, AK Gupta Far East Journal of Theoretical Statistics, 2015 | 1 | 2015 |
| Comparing classifier performance with baselines FM Megahed, YJ Chen, LA Jones-Farmer, SE Rigdon, M Krzywinski, ... Nature Methods, 2024 | | 2024 |
Fadel M. MegahedUniversity Faculty Scholar, Miami UniversityCorreu electrònic verificat a miamioh.edu
