Yih-Lon Lin

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 6

Top Topics

Polynomial Regression

Emergency Department

Least Squares Support Vector Machine

Top Venues

BMC Medical Informatics Decis. Mak.

Int. J. Medical Informatics

Publications

Kuang-Ming Kuo, Yih-Lon Lin, Chao-Sheng Chang, Tin Ju Kuo
An ensemble model for predicting dispositions of emergency department patients. BMC Medical Informatics Decis. Mak. 24 (3) (2024)
Van-Thuan Tran, Yih-Lon Lin, Wei-Ho Tsai
Person Identification Using Bronchial Breath Sounds Recorded by Mobile Devices. IEEE Access 11 (2023)
Wei-Chang Yeh, Zhifeng Hao, Majid Forghani-elahabad, Gai-Ge Wang, Yih-Lon Lin
Novel Binary-Addition Tree Algorithm for Reliability Evaluation of Acyclic Multistate Information Networks. Reliab. Eng. Syst. Saf. 210 (2021)
Chien-Hua Chen, Jer-Guang Hsieh, Shu-Ling Cheng, Yih-Lon Lin, Po-Hsiang Lin, Jyh-Horng Jeng
Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data. Int. J. Medical Informatics 139 (2020)
Jer-Guang Hsieh, Jyh-Horng Jeng, Yih-Lon Lin, Ying-Sheng Kuo
Single index fuzzy neural networks using locally weighted polynomial regression. Fuzzy Sets Syst. 368 (2019)
Yih-Lon Lin, Jer-Guang Hsieh, Ying-Sheng Kuo, Jyh-Horng Jeng
NXOR- or XOR-based robust template decomposition for cellular neural networks implementing an arbitrary Boolean function via support vector classifiers. Neural Comput. Appl. 28 (S-1) (2017)
Yih-Lon Lin, Yu-Min Chiang, Yi-Ling Tsai
Morphological component analysis and least squares support vector machine for image super-resolution. ICMLC (2015)
Yih-Lon Lin, Chung-Ming Sung
Preliminary study on QR code detection using HOG and AdaBoost. SoCPaR (2015)
Yih-Lon Lin, Jer-Guang Hsieh, Jyh-Horng Jeng, Wen-Chin Cheng
On least trimmed squares neural networks. Neurocomputing 161 (2015)
Yu-Min Chiang, Yih-Lon Lin, Wei-Hong Chien
Automated surface defect inspection system for capacitive touch sensor. SoCPaR (2015)
Yih-Lon Lin, Jer-Guang Hsieh, Jyh-Horng Jeng
Robust decomposition with guaranteed robustness for cellular neural networks implementing an arbitrary Boolean function. Neurocomputing 143 (2014)
Yih-Lon Lin, Wen-Lin Chen
Fast Search Strategies for Fractal Image Compression. J. Inf. Sci. Eng. 28 (1) (2012)
Hsu-Kun Wu, Yih-Lon Lin, Jer-Guang Hsieh, Jyh-Horng Jeng
Study on semiparametric Wilcoxon fuzzy neural networks. Soft Comput. 16 (1) (2012)
Yih-Lon Lin, Ming-Sheng Wu
An edge property-based neighborhood region search strategy for fractal image compression. Comput. Math. Appl. 62 (1) (2011)
Yih-Lon Lin, Jer-Guang Hsieh, Hsu-Kun Wu, Jyh-Horng Jeng
Three-parameter sequential minimal optimization for support vector machines. Neurocomputing 74 (17) (2011)
Ming-Sheng Wu, Yih-Lon Lin
Genetic algorithm with a hybrid select mechanism for fractal image compression. Digit. Signal Process. 20 (4) (2010)
Hsu-Kun Wu, Jer-Guang Hsieh, Yih-Lon Lin
Study on kernel-based Wilcoxon classifiers. ISKE (2010)
Yih-Lon Lin
Robust estimation of parameter for fractal inverse problem. Comput. Math. Appl. 60 (7) (2010)
Hsu-Kun Wu, Jer-Guang Hsieh, Yih-Lon Lin, Jyh-Horng Jeng
On maximum likelihood fuzzy neural networks. Fuzzy Sets Syst. 161 (21) (2010)
Yih-Lon Lin, Wei-Der Chang, Jer-Guang Hsieh
A particle swarm optimization approach to nonlinear rational filter modeling. Expert Syst. Appl. 34 (2) (2008)
Jer-Guang Hsieh, Yih-Lon Lin, Jyh-Horng Jeng
Preliminary Study on Wilcoxon Learning Machines. IEEE Trans. Neural Networks 19 (2) (2008)
Yih-Lon Lin, Jer-Guang Hsieh, Jyh-Horng Jeng
Robust Template Decomposition with Restricted Weights for Cellular Neural Networks Implementing an Arbitrary Boolean Function. Int. J. Bifurc. Chaos 17 (9) (2007)
Yih-Lon Lin, Jyh-Horng Jeng, Jer-Guang Hsieh
Three-parameter Sequential Minimal Optimization for Support Vector Classification. SMC (2006)