Inversionless decoding of both errors and erasures of Reed-Solomon code. - Trieu-Kien Truong; Jyh-Horng Jeng; King-Chu Hung (IEEE Trans. Commun., 1998)

An OCA-based fast algorithm for 2-D discrete periodized wavelet transform. - King-Chu Hung; Jyh-Horng Jeng; Yu-Jung Huang; Chi-Wave Hung (ICASSP, 1999)

On decoding of both errors and erasures of a Reed-Solomon code using an inverse-free Berlekamp-Massey algorithm. - Jyh-Horng Jeng; Trieu-Kien Truong (IEEE Trans. Commun., 1999)

A fast encoding algorithm for fractal image compression using the DCT inner product. - Trieu-Kien Truong; Jyh-Horng Jeng; Irving S. Reed; P. C. Lee; Alan Q. Li (IEEE Trans. Image Process., 2000)

Fast algorithm for computing the roots of error locator polynomials up to degree 11 in Reed-Solomon decoders. - Trieu-Kien Truong; Jyh-Horng Jeng; Irving S. Reed (IEEE Trans. Commun., 2001)

Watermark technique using frequency domain. - C. M. Kung; Jyh-Horng Jeng; Trieu-Kien Truong (DSP, 2002)

VLSI architecture of modified Euclidean algorithm for Reed-Solomon code. - Y. W. Chang; Trieu-Kien Truong; Jyh-Horng Jeng (Inf. Sci., 2003)

A new decoding algorithm for correcting both erasures and errors of Reed-Solomon codes. - Trieu-Kien Truong; Jyh-Horng Jeng; T. C. Cheng (IEEE Trans. Commun., 2003)

DCT based simple classification scheme for fractal image compression. - Der-Jyh Duh; Jyh-Horng Jeng; Shu-Yuan Chen (Image Vis. Comput., 2005)

Three-parameter Sequential Minimal Optimization for Support Vector Classification. - Yih-Lon Lin; Jyh-Horng Jeng; Jer-Guang Hsieh (SMC, 2006)

Active Contour Model Based on Multi-Population Particle Swarm Optimization. - Chun-Chieh Tseng; Jyh-Horng Jeng; Jer-Guang Hsieh (SMC, 2006)

Fractal Image Compression with Predicted Dihedral Transformation. - Der-Jyh Duh; Jyh-Horng Jeng; Shu-Yuan Chen (ISCC, 2007)

Schema genetic algorithm for fractal image compression. - Ming-Sheng Wu; Jyh-Horng Jeng; Jer-Guang Hsieh (Eng. Appl. Artif. Intell., 2007)

Robust Template Decomposition with Restricted Weights for Cellular Neural Networks Implementing an Arbitrary Boolean Function. - Yih-Lon Lin; Jer-Guang Hsieh; Jyh-Horng Jeng (Int. J. Bifurc. Chaos, 2007)

Direct Allocating the Dihedral Transformation for Fractal Image Compression. - Der-Jyh Duh; Jyh-Horng Jeng; Shu-Yuan Chen (J. Inf. Sci. Eng., 2007)

Quality Adapted Fractal Image Compression for Multimedia Communication. - Der-Jyh Duh; Jyh-Horng Jeng; Shu-Yuan Chen (MobiMedia, 2008)

Fractal Image Compression with Error Control. - Shou-Cheng Hsiung; Jyh-Horng Jeng; Der-Jyh Duh (MobiMedia, 2008)

Fractal image compression using visual-based particle swarm optimization. - Chun-Chieh Tseng; Jer-Guang Hsieh; Jyh-Horng Jeng (Image Vis. Comput., 2008)

Preliminary Study on Wilcoxon Learning Machines. - Jer-Guang Hsieh; Yih-Lon Lin; Jyh-Horng Jeng (IEEE Trans. Neural Networks, 2008)

A Search of WOSF Equivalent Classes up to Order 5. - Wei-Chih Chen; Jyh-Horng Jeng (ICSAP, 2009)

Active contour model via multi-population particle swarm optimization. - Chun-Chieh Tseng; Jer-Guang Hsieh; Jyh-Horng Jeng (Expert Syst. Appl., 2009)

Study on Huber Fractal Image Compression. - Jyh-Horng Jeng; Chun-Chieh Tseng; Jer-Guang Hsieh (IEEE Trans. Image Process., 2009)

On maximum likelihood fuzzy neural networks. - Hsu-Kun Wu; Jer-Guang Hsieh; Yih-Lon Lin; Jyh-Horng Jeng (Fuzzy Sets Syst., 2010)

The Generalization of WOSF and Corresponding Outputs. - Wei-Chih Chen; Jyh-Horng Jeng (J. Softw., 2010)

Three-parameter sequential minimal optimization for support vector machines. - Yih-Lon Lin; Jer-Guang Hsieh; Hsu-Kun Wu; Jyh-Horng Jeng (Neurocomputing, 2011)

Characterization of WOSF by Equivalent Classes through Support Vector Machine. - Wei-Chih Chen; Jyh-Horng Jeng (J. Inf. Sci. Eng., 2011)

Fast video super-resolution using artificial neural networks. - Ming-Hui Cheng; Nai-Wei Lin; Kao-Shing Hwang; Jyh-Horng Jeng (CSNDSP, 2012)

Image compression using PCA with clustering. - Chih-Wen Wang; Jyh-Horng Jeng (ISPACS, 2012)

Entropy improvement for fractal image coder. - Jyh-Horng Jeng; Shuo-Li Hsu; Yukon Chang (Int. Arab J. Inf. Technol., 2012)

Study on semiparametric Wilcoxon fuzzy neural networks. - Hsu-Kun Wu; Yih-Lon Lin; Jer-Guang Hsieh; Jyh-Horng Jeng (Soft Comput., 2012)

Multi-stage PCA image coding. - Chih-Wen Wang; Jyh-Horng Jeng (ICICS, 2013)

Classification-based video super-resolution using artificial neural networks. - Ming-Hui Cheng; Kao-Shing Hwang; Jyh-Horng Jeng; Nai-Wei Lin (Signal Process., 2013)

PSO-based Fusion Method for Video Super-Resolution. - Ming-Hui Cheng; Kao-Shing Hwang; Jyh-Horng Jeng; Nai-Wei Lin (J. Signal Process. Syst., 2013)

Robust decomposition with guaranteed robustness for cellular neural networks implementing an arbitrary Boolean function. - Yih-Lon Lin; Jer-Guang Hsieh; Jyh-Horng Jeng (Neurocomputing, 2014)

A repartition method improving visual quality for PCA image coding. - Chih-Wen Wang; Jyh-Horng Jeng; Jer-Guang Hsieh (Appl. Soft Comput., 2015)

On least trimmed squares neural networks. - Yih-Lon Lin; Jer-Guang Hsieh; Jyh-Horng Jeng; Wen-Chin Cheng (Neurocomputing, 2015)

PCA image coding with iterative clustering. - Chih-Wen Wang; Wei-Sheng Yang; Jyh-Horng Jeng; Jer-Guang Hsieh (Multidimens. Syst. Signal Process., 2016)

NXOR- or XOR-based robust template decomposition for cellular neural networks implementing an arbitrary Boolean function via support vector classifiers. - Yih-Lon Lin; Jer-Guang Hsieh; Ying-Sheng Kuo; Jyh-Horng Jeng (Neural Comput. Appl., 2017)

Primary study on single index artificial neural networks based on penalized regression splines. - Jer-Guang Hsieh; Jyh-Horng Jeng; Ying-Sheng Kuo (iFUZZY, 2019)

Single index fuzzy neural networks using locally weighted polynomial regression. - Jer-Guang Hsieh; Jyh-Horng Jeng; Yih-Lon Lin; Ying-Sheng Kuo (Fuzzy Sets Syst., 2019)

A Study on Combined CNN-SVM Model for Visual Object Recognition. - Fengyu Gao; Jer-Guang Hsieh; Jyh-Horng Jeng (J. Inf. Hiding Multim. Signal Process., 2019)

Robust Multi-Class Classification Using Linearly Scored Categorical Cross-Entropy. - Chien-Hua Chen; Po-Hsiang Lin; Jer-Guang Hsieh; Shu-Ling Cheng; Jyh-Horng Jeng (ICKII, 2020)

Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data. - Chien-Hua Chen; Jer-Guang Hsieh; Shu-Ling Cheng; Yih-Lon Lin; Po-Hsiang Lin; Jyh-Horng Jeng (Int. J. Medical Informatics, 2020)

Support Vector Machine Modelling for COVID-19 Prediction based on Symptoms using R Programming Language. - Charlyn Nayve Villavicencio; Jyh-Horng Jeng; Jer-Guang Hsieh (MLMI, 2021)

COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA. - Charlyn Nayve Villavicencio; Julio Jerison Macrohon; Xavier Alphonse Inbaraj; Jyh-Horng Jeng; Jer-Guang Hsieh (Algorithms, 2021)

Twitter Sentiment Analysis towards COVID-19 Vaccines in the Philippines Using Naïve Bayes. - Charlyn Nayve Villavicencio; Julio Jerison Macrohon; Xavier Alphonse Inbaraj; Jyh-Horng Jeng; Jer-Guang Hsieh (Inf., 2021)

A Semi-Supervised Approach to Sentiment Analysis of Tweets during the 2022 Philippine Presidential Election. - Julio Jerison Macrohon; Charlyn Nayve Villavicencio; Xavier Alphonse Inbaraj; Jyh-Horng Jeng (Inf., 2022)