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 |
Fast Search Strategies for Fractal Image Compression. YL Lin, WL Chen Journal of Information Science & Engineering 28 (1), 2012 | 38 | 2012 |
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 |
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 | 33 | 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 | 23 | 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 |
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 | 14 | 2004 |
Robust estimation of parameter for fractal inverse problem YL Lin Computers & Mathematics with Applications 60 (7), 2099-2108, 2010 | 13 | 2010 |
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 |
Skin Medical Image Captioning Using Multi-Label Classification and Siamese Network Y Lin, K Lai, W Chang IEEE Access 11, 23447-23454, 2023 | 4 | 2023 |