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Jyh-Horng Jeng
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2020 – today
- 2022
- [j33]Julio Jerison Macrohon
, Charlyn Nayve Villavicencio
A Semi-Supervised Approach to Sentiment Analysis of Tweets during the 2022 Philippine Presidential Election. Inf. 13(10): 484 (2022) - 2021
- [j32]Charlyn Nayve Villavicencio
COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA. Algorithms 14(7): 201 (2021) - [j31]Charlyn Nayve Villavicencio
Twitter Sentiment Analysis towards COVID-19 Vaccines in the Philippines Using Naïve Bayes. Inf. 12(5): 204 (2021) - [c14]Charlyn Nayve Villavicencio
Support Vector Machine Modelling for COVID-19 Prediction based on Symptoms using R Programming Language. MLMI 2021: 65-70 - 2020
- [j30]Chien-Hua Chen, Jer-Guang Hsieh, Shu-Ling Cheng
Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data. Int. J. Medical Informatics 139: 104146 (2020) - [c13]Chien-Hua Chen, Po-Hsiang Lin, Jer-Guang Hsieh, Shu-Ling Cheng, Jyh-Horng Jeng:
Robust Multi-Class Classification Using Linearly Scored Categorical Cross-Entropy. ICKII 2020: 200-203
2010 – 2019
- 2019
- [j29]Jer-Guang Hsieh, Jyh-Horng Jeng
Single index fuzzy neural networks using locally weighted polynomial regression. Fuzzy Sets Syst. 368: 82-100 (2019) - [j28]Fengyu Gao, Jer-Guang Hsieh, Jyh-Horng Jeng:
A Study on Combined CNN-SVM Model for Visual Object Recognition. J. Inf. Hiding Multim. Signal Process. 10(4): 479-487 (2019) - [c12]Jer-Guang Hsieh, Jyh-Horng Jeng, Ying-Sheng Kuo:
Primary study on single index artificial neural networks based on penalized regression splines. iFUZZY 2019: 220-225 - 2017
- [j27]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): 299-311 (2017) - 2016
- [j26]Chih-Wen Wang, Wei-Sheng Yang, Jyh-Horng Jeng, Jer-Guang Hsieh:
PCA image coding with iterative clustering. Multidimens. Syst. Signal Process. 27(3): 647-666 (2016) - 2015
- [j25]Chih-Wen Wang, Jyh-Horng Jeng
A repartition method improving visual quality for PCA image coding. Appl. Soft Comput. 29: 95-109 (2015) - [j24]Yih-Lon Lin, Jer-Guang Hsieh, Jyh-Horng Jeng
On least trimmed squares neural networks. Neurocomputing 161: 107-112 (2015) - 2014
- [j23]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: 339-346 (2014) - 2013
- [j22]Ming-Hui Cheng, Kao-Shing Hwang
Classification-based video super-resolution using artificial neural networks. Signal Process. 93(9): 2612-2625 (2013) - [j21]Ming-Hui Cheng, Kao-Shing Hwang
PSO-based Fusion Method for Video Super-Resolution. J. Signal Process. Syst. 73(1): 25-42 (2013) - [c11]Chih-Wen Wang, Jyh-Horng Jeng:
Multi-stage PCA image coding. ICICS 2013: 1-4 - 2012
- [j20]Jyh-Horng Jeng, Shuo-Li Hsu, Yukon Chang:
Entropy improvement for fractal image coder. Int. Arab J. Inf. Technol. 9(5): 403-410 (2012) - [j19]Hsu-Kun Wu, Yih-Lon Lin, Jer-Guang Hsieh, Jyh-Horng Jeng:
Study on semiparametric Wilcoxon fuzzy neural networks. Soft Comput. 16(1): 11-21 (2012) - [c10]Ming-Hui Cheng, Nai-Wei Lin, Kao-Shing Hwang
Fast video super-resolution using artificial neural networks. CSNDSP 2012: 1-4 - [c9]Chih-Wen Wang, Jyh-Horng Jeng:
Image compression using PCA with clustering. ISPACS 2012: 458-462 - 2011
- [j18]Yih-Lon Lin, Jer-Guang Hsieh, Hsu-Kun Wu, Jyh-Horng Jeng:
Three-parameter sequential minimal optimization for support vector machines. Neurocomputing 74(17): 3467-3475 (2011) - [j17]Wei-Chih Chen, Jyh-Horng Jeng:
Characterization of WOSF by Equivalent Classes through Support Vector Machine. J. Inf. Sci. Eng. 27(1): 227-242 (2011) - 2010
- [j16]Hsu-Kun Wu, Jer-Guang Hsieh, Yih-Lon Lin, Jyh-Horng Jeng:
On maximum likelihood fuzzy neural networks. Fuzzy Sets Syst. 161(21): 2795-2807 (2010) - [j15]Wei-Chih Chen, Jyh-Horng Jeng:
The Generalization of WOSF and Corresponding Outputs. J. Softw. 5(5): 466-473 (2010)
2000 – 2009
- 2009
- [j14]Chun-Chieh Tseng, Jer-Guang Hsieh, Jyh-Horng Jeng:
Active contour model via multi-population particle swarm optimization. Expert Syst. Appl. 36(3): 5348-5352 (2009) - [j13]Jyh-Horng Jeng, Chun-Chieh Tseng, Jer-Guang Hsieh:
Study on Huber Fractal Image Compression. IEEE Trans. Image Process. 18(5): 995-1003 (2009) - [c8]Wei-Chih Chen, Jyh-Horng Jeng:
A Search of WOSF Equivalent Classes up to Order 5. ICSAP 2009: 80-84 - 2008
- [j12]Chun-Chieh Tseng, Jer-Guang Hsieh, Jyh-Horng Jeng:
Fractal image compression using visual-based particle swarm optimization. Image Vis. Comput. 26(8): 1154-1162 (2008) - [j11]Jer-Guang Hsieh, Yih-Lon Lin, Jyh-Horng Jeng:
Preliminary Study on Wilcoxon Learning Machines. IEEE Trans. Neural Networks 19(2): 201-211 (2008) - [c7]Der-Jyh Duh, Jyh-Horng Jeng, Shu-Yuan Chen:
Quality Adapted Fractal Image Compression for Multimedia Communication. MobiMedia 2008 - [c6]Shou-Cheng Hsiung, Jyh-Horng Jeng, Der-Jyh Duh:
Fractal Image Compression with Error Control. MobiMedia 2008 - 2007
- [j10]Ming-Sheng Wu, Jyh-Horng Jeng, Jer-Guang Hsieh:
Schema genetic algorithm for fractal image compression. Eng. Appl. Artif. Intell. 20(4): 531-538 (2007) - [j9]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): 3151-3169 (2007) - [j8]Der-Jyh Duh, Jyh-Horng Jeng, Shu-Yuan Chen:
Direct Allocating the Dihedral Transformation for Fractal Image Compression. J. Inf. Sci. Eng. 23(2): 629-640 (2007) - [c5]Der-Jyh Duh, Jyh-Horng Jeng, Shu-Yuan Chen:
Fractal Image Compression with Predicted Dihedral Transformation. ISCC 2007: 661-666 - 2006
- [c4]Chun-Chieh Tseng, Jyh-Horng Jeng, Jer-Guang Hsieh:
Active Contour Model Based on Multi-Population Particle Swarm Optimization. SMC 2006: 2396-2400 - [c3]Yih-Lon Lin, Jyh-Horng Jeng, Jer-Guang Hsieh:
Three-parameter Sequential Minimal Optimization for Support Vector Classification. SMC 2006: 3515-3520 - 2005
- [j7]Der-Jyh Duh, Jyh-Horng Jeng, Shu-Yuan Chen:
DCT based simple classification scheme for fractal image compression. Image Vis. Comput. 23(13): 1115-1121 (2005) - 2003
- [j6]Y. W. Chang, Trieu-Kien Truong, Jyh-Horng Jeng:
VLSI architecture of modified Euclidean algorithm for Reed-Solomon code. Inf. Sci. 155(1-2): 139-150 (2003) - [j5]Trieu-Kien Truong, Jyh-Horng Jeng, T. C. Cheng:
A new decoding algorithm for correcting both erasures and errors of Reed-Solomon codes. IEEE Trans. Commun. 51(3): 381-388 (2003) - 2002
- [c2]C. M. Kung, Jyh-Horng Jeng, Trieu-Kien Truong:
Watermark technique using frequency domain. DSP 2002: 729-731 - 2001
- [j4]Trieu-Kien Truong, Jyh-Horng Jeng, Irving S. Reed:
Fast algorithm for computing the roots of error locator polynomials up to degree 11 in Reed-Solomon decoders. IEEE Trans. Commun. 49(5): 779-783 (2001) - 2000
- [j3]Trieu-Kien Truong, Jyh-Horng Jeng, Irving S. Reed, P. C. Lee, Alan Q. Li:
A fast encoding algorithm for fractal image compression using the DCT inner product. IEEE Trans. Image Process. 9(4): 529-535 (2000)
1990 – 1999
- 1999
- [j2]Jyh-Horng Jeng, Trieu-Kien Truong:
On decoding of both errors and erasures of a Reed-Solomon code using an inverse-free Berlekamp-Massey algorithm. IEEE Trans. Commun. 47(10): 1488-1494 (1999) - [c1]King-Chu Hung, Jyh-Horng Jeng, Yu-Jung Huang, Chi-Wave Hung:
An OCA-based fast algorithm for 2-D discrete periodized wavelet transform. ICASSP 1999: 3173-3176 - 1998
- [j1]Trieu-Kien Truong, Jyh-Horng Jeng, King-Chu Hung:
Inversionless decoding of both errors and erasures of Reed-Solomon code. IEEE Trans. Commun. 46(8): 973-976 (1998)
Coauthor Index
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