An Improved Natural PCR-RFLP Primer Design Method. - Li-Yeh Chuang; Yu-Da Lin; Hsueh-Wei Chang; Cheng-Hong Yang 001 (BIBE, 2011)

PCR-RFLP Primer Design Using Particle Swarm Optimization Combined with Chaotic Logistic Map. - Li-Yeh Chuang; Yu-Da Lin; Hsueh-Wei Chang; Cheng-Hong Yang 001 (AINA Workshops, 2012)

Evaluation of Breast Cancer Susceptibility Using Improved Genetic Algorithms to Generate Genotype SNP Barcodes. - Cheng-Hong Yang 001; Yu-Da Lin; Li-Yeh Chuang; Hsueh-Wei Chang (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

SNP-SNP Interaction Using Gauss Chaotic Map Particle Swarm Optimization to Detect Susceptibility to Breast Cancer. - Li-Yeh Chuang; Yu-Da Lin; Hsueh-Wei Chang; Cheng-Hong Yang 001 (HICSS, 2014)

An improved GA for identifying susceptibility genes in the presence of epistasis. - Jyh-Ferng Yang; Yu-Da Lin; Li-Yeh Chuang; Cheng-Hong Yang 001 (CEC, 2015)

A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes. - Li-Yeh Chuang; Sin-Hua Moi; Yu-Da Lin; Cheng-Hong Yang 001 (Artif. Intell. Medicine, 2016)

Genetic Algorithm Combined with a Local Search Method for Identifying Susceptibility Genes. - Cheng-Hong Yang 001; Sin-Hua Moi; Yu-Da Lin; Li-Yeh Chuang (J. Artif. Intell. Soft Comput. Res., 2016)

Analysis of high-order SNP barcodes in mitochondrial D-loop for chronic dialysis susceptibility. - Cheng-Hong Yang 001; Yu-Da Lin; Li-Yeh Chuang; Hsueh-Wei Chang (J. Biomed. Informatics, 2016)

High-performance computing for protein fold prediction. - Li-Yeh Chuang; Yu-Da Lin; Cheng-Hong Yang 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Taguchi-enhanced binary differential evolution algorithm. - Cheng-Hong Yang 001; Yu-Da Lin; Li-Yeh Chuang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies. - Cheng-Hong Yang 001; Li-Yeh Chuang; Yu-Da Lin (Bioinform., 2017)

Joint Analysis of SNP-SNP-Environment Interactions for Chronic Dialysis by an Improved Branch and Bound Algorithm. - Cheng-Hong Yang 001; Yu-Da Lin; Li-Yeh Chuang; Jin-Bor Chen; Hsueh-Wei Chang (J. Comput. Biol., 2017)

Improved Multifactor Dimensionality Reduction for Epistasis Detection. - Li-Yeh Chuang; Cheng-Hong Yang 001; Yu-Da Lin (BIBE, 2018)

Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions. - Cheng-Hong Yang 001; Li-Yeh Chuang; Yu-Da Lin (Bioinform., 2018)

A CpGCluster-Teaching-Learning-Based Optimization for Prediction of CpG Islands in the Human Genome. - Cheng-Hong Yang 001; Yi-Cheng Chiang; Li-Yeh Chuang; Yu-Da Lin (J. Comput. Biol., 2018)

Improved Multiobjective Multifactor Dimensionality Reduction using Fuzzy Theory. - Cheng-Hong Yang 001; Sin-Hua Moi; Li-Yeh Chuang; Tien-Tsomg Shih; Yu-Da Lin (SSCI, 2019)

Detecting SNP-SNP Interactions in Imbalanced Case-Control Study. - Cheng-Hong Yang 001; Li-Yeh Chuang; Yu-Da Lin (IEEE Access, 2019)

Identifying Risk Stratification Associated With a Cancer for Overall Survival by Deep Learning-Based CoxPH. - Cheng-Hong Yang 001; Sin-Hua Moi; Fu Ou-Yang; Li-Yeh Chuang; Ming-Feng Hou; Yu-Da Lin (IEEE Access, 2019)

Effective hybrid approach for protein structure prediction in a two-dimensional Hydrophobic-Polar model. - Cheng-Hong Yang 001; Yu-Shiun Lin; Li-Yeh Chuang; Yu-Da Lin (Comput. Biol. Medicine, 2019)

Multiple-Criteria Decision Analysis-Based Multifactor Dimensionality Reduction for Detecting Gene-Gene Interactions. - Cheng-Hong Yang 001; Yu-Da Lin; Li-Yeh Chuang (IEEE J. Biomed. Health Informatics, 2019)

Identification of Kidney Clear Cell Carcinoma Mortality Risk-Associated Gene Mutation by Using a Random Survival Forest Approach. - Cheng-Hong Yang 001; Yin-Syuan Chen; Sin-Hua Moi; Li-Yeh Chuang; Yu-Da Lin (BIBE, 2020)

New Evaluation Measures for Multifactor Dimensionality Reduction in SNP-SNP Interaction Analysis. - Cheng-Hong Yang 001; Sin-Hua Moi; Li-Yeh Chuang; Yu-Da Lin (BIBE, 2020)

Fuzzy Logic System Application for Detecting SNP-SNP Interaction. - Cheng-Hong Yang 001; Li-Yeh Chuang; Yu-Da Lin (IEEE Access, 2020)

An improved fuzzy set-based multifactor dimensionality reduction for detecting epistasis. - Cheng-Hong Yang 001; Li-Yeh Chuang; Yu-Da Lin (Artif. Intell. Medicine, 2020)

Class Balanced Multifactor Dimensionality Reduction to Detect Gene-Gene Interactions. - Cheng-Hong Yang 001; Yu-Da Lin; Li-Yeh Chuang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Epistasis Analysis Using an Improved Fuzzy C-Means-Based Entropy Approach. - Cheng-Hong Yang 001; Li-Yeh Chuang; Yu-Da Lin (IEEE Trans. Fuzzy Syst., 2020)

Analyze influence factors in customer's insurance transaction by decision tree model. - Che-Nan Kuo; Yu-Da Lin; Yu-Huei Cheng (TAAI, 2021)

A Clustering-Based Gauss Chaotic Mapping Particle Swarm Optimization for Auto Labeling in Human Activity Recognition. - Bo-Yan Lin; Che-Nan Kuo; Yu-Da Lin (TAAI, 2021)

Who Donates on Line? Segmentation Analysis and Marketing Strategies Based on Machine Learning for Online Charitable Donations in Taiwan. - Chiung-Wen Hsu; Yu-Lin Chang; Tzer-Shyong Chen; Te-Yi Chang; Yu-Da Lin (IEEE Access, 2021)

Applications of Deep Learning and Fuzzy Systems to Detect Cancer Mortality in Next-Generation Genomic Data. - Cheng-Hong Yang 001; Sin-Hua Moi; Ming-Feng Hou; Li-Yeh Chuang; Yu-Da Lin (IEEE Trans. Fuzzy Syst., 2021)

Use Hydrology and Stratum Subsidence Monitoring Platform to Improve the Work Performance of Hydrologists. - Yun-Chin Wu; Yu-Cheng Hu; Yu-Da Lin; Ying-Cong Liang; Jun-Yu Xie; Yu-Sheng Su (ICEBE, 2022)

A Clustering-based Feature Selection for Automatic Labeling in Human Activity Recognition. - Bo-Yan Lin; Yu-Da Lin (LifeTech, 2022)

MOAI: a multi-outcome interaction identification approach reveals an interaction between vaspin and carcinoembryonic antigen on colorectal cancer prognosis. - Yu-Da Lin; Yi-Chen Lee; Chih-Po Chiang; Sin-Hua Moi; Jung-Yu Kan (Briefings Bioinform., 2022)

Multiobjective optimization-driven primer design mechanism: towards user-specified parameters of PCR primer. - Cheng-Hong Yang 001; Yu-Huei Cheng; Li-Yeh Chuang; Yu-Da Lin (Briefings Bioinform., 2022)

Lagrange interpolation-driven access control mechanism: Towards secure and privacy-preserving fusion of personal health records. - Yin-Tzu Huang; Dai-Lun Chiang; Tzer-Shyong Chen; Sheng-De Wang; Feipei Lai; Yu-Da Lin (Knowl. Based Syst., 2022)

Based on Decision Tree Model to Analyze the Influencing Factors of Customer's Insurance Transactions. - Che-Nan Kuo; Yu-Da Lin; Duc-Man Nguyen; Yu-Huei Cheng (J. Inf. Sci. Eng., 2023)

Fuzzy-Based Multiobjective Multifactor Dimensionality Reduction for Epistasis Analysis. - Cheng-Hong Yang 001; Hsiu-Chen Huang; Ming-Feng Hou; Li-Yeh Chuang; Yu-Da Lin (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Dimensionality reduction approach for many-objective epistasis analysis. - Cheng-Hong Yang 001; Ming-Feng Hou; Li-Yeh Chuang; Cheng-San Yang; Yu-Da Lin (Briefings Bioinform., 2023)

A machine learning based on arithmetic optimization algorithm select the significant genes. - Yu-Da Lin; Jun-Han Lin; Chiung-Wen Hsu; Sin-Hua Moi (COMPSAC, 2024)

Driver Gene Expression Clustering Model for Prognostic Risk Estimation Using Cancer Genomic Data. - Sin-Hua Moi; Yu-Da Lin; Yi-Ling Chen; Chao-Ming Hung; Shin-Jiun Tsai; Wei-Hong Cheng (COMPSAC, 2024)

An Artificial IoT-Enabled Smart Production Line for 360° Visual Defect Detection and Classification of Cherry Tomatoes. - Yu-Huei Cheng; Che-Nan Kuo; Yu-Da Lin (IEEE Internet Things J., 2024)

Deep-Learning Approach for an Analysis of Real-Estate Prices and Transactions. - Cheng-Hong Yang 001; Borcy Lee; Yu-Da Lin (IEEE Access, 2025)

Improving Investment Forecasting: A Comparative Analysis of Machine Learning Models as Key GDP Indicators. - Cheng-Hong Yang 001; Tshimologo Molefyane; Borcy Lee; Ting-Jen Hsueh; Yu-Da Lin (IEEE Access, 2025)

An autoencoder-based arithmetic optimization clustering algorithm to enhance principal component analysis to study the relations between industrial market stock indices in real estate. - Cheng-Hong Yang 001; Borcy Lee; Yi-In Lee; Yu-Fang Chung; Yu-Da Lin (Expert Syst. Appl., 2025)

An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate. - Cheng-Hong Yang 001; Sin-Hua Moi; Li-Yeh Chuang; Yu-Da Lin (IEEE Trans. Neural Networks Learn. Syst., 2025)