| A particle swarm optimization approach to nonlinear rational filter modeling YL Lin, WD Chang, JG Hsieh Expert Systems with Applications 34 (2), 1194-1199, 2008 | 142 | 2008 |
| Preliminary study on Wilcoxon learning machines JG Hsieh, YL Lin, JH Jeng IEEE transactions on Neural Networks 19 (2), 201-211, 2008 | 86 | 2008 |
| Novel binary-addition tree algorithm for reliability evaluation of acyclic multistate information networks WC Yeh, Z Hao, M Forghani-elahabad, GG Wang, YL Lin Reliability Engineering & System Safety 210, 107427, 2021 | 37 | 2021 |
| Fast Search Strategies for Fractal Image Compression. YL Lin, WL Chen Journal of Information Science & Engineering 28 (1), 2012 | 37 | 2012 |
| Genetic algorithm with a hybrid select mechanism for fractal image compression MS Wu, YL Lin Digital Signal Processing 20 (4), 1150-1161, 2010 | 35 | 2010 |
| An edge property-based neighborhood region search strategy for fractal image compression YL Lin, MS Wu Computers & Mathematics with Applications 62 (1), 310-318, 2011 | 34 | 2011 |
| Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data CH Chen, JG Hsieh, SL Cheng, YL Lin, PH Lin, JH Jeng International Journal of Medical Informatics 139, 104146, 2020 | 31 | 2020 |
| Predicting nurses' intention to quit with a Support Vector Machine: A new approach to set up an early warning mechanism in human resource management HM Tzeng, JG Hsieh, YL Lin CIN: Computers, Informatics, Nursing 22 (4), 232-242, 2004 | 24 | 2004 |
| Early short-term prediction of emergency department length of stay using natural language processing for low-acuity outpatients CH Chen, JG Hsieh, SL Cheng, YL Lin, PH Lin, JH Jeng The American journal of emergency medicine 38 (11), 2368-2373, 2020 | 22 | 2020 |
| On least trimmed squares neural networks YL Lin, JG Hsieh, JH Jeng, WC Cheng Neurocomputing 161, 107-112, 2015 | 18 | 2015 |
| Single index fuzzy neural networks using locally weighted polynomial regression JG Hsieh, JH Jeng, YL Lin, YS Kuo Fuzzy Sets and Systems 368, 82-100, 2019 | 15 | 2019 |
| On maximum likelihood fuzzy neural networks HK Wu, JG Hsieh, YL Lin, JH Jeng Fuzzy Sets and Systems 161 (21), 2795-2807, 2010 | 15 | 2010 |
| Three-parameter sequential minimal optimization for support vector machines YL Lin, JG Hsieh, HK Wu, JH Jeng Neurocomputing 74 (17), 3467-3475, 2011 | 14 | 2011 |
| Robust estimation of parameter for fractal inverse problem YL Lin Computers & Mathematics with Applications 60 (7), 2099-2108, 2010 | 13 | 2010 |
| Forecasting violent behaviors for schizophrenic outpatients using their disease insights: Development of a binary logistic regression model and a support vector model HM Tzeng, YL Lin, JG Hsieh International Journal of Mental Health 33 (2), 17-31, 2004 | 13 | 2004 |
| Robust template decomposition with restricted weights for cellular neural networks implementing an arbitrary Boolean function YL Lin, JG Hsieh, JH Jeng International Journal of Bifurcation and Chaos 17 (09), 3151-3169, 2007 | 9 | 2007 |
| Measurement of body surface area for psoriasis using U-net models YL Lin, A Huang, CY Yang, WY Chang Computational and Mathematical Methods in Medicine 2022, 2022 | 7 | 2022 |
| Robust template decomposition without weight restriction for cellular neural networks implementing arbitrary boolean functions using support vector classifiers YL Lin, JG Hsieh, JH Jeng Mathematical Problems in Engineering 2013, 2013 | 5 | 2013 |
| Characterization of canonical robust template values for a class of uncoupled CNNs implementing linearly separable Boolean functions YL Lin, WC Teng, JH Jeng, JG Hsieh WSEAS Transactions on Information Science and Applications 7 (2), 940-944, 2005 | 5 | 2005 |
| NXOR-or XOR-based robust template decomposition for cellular neural networks implementing an arbitrary Boolean function via support vector classifiers YL Lin, JG Hsieh, YS Kuo, JH Jeng Neural Computing and Applications 28, 299-311, 2017 | 3 | 2017 |
