Yu-Da Lin

Orcid: 0000-0001-5100-6072

According to our database1, Yu-Da Lin authored at least 38 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Dimensionality reduction approach for many-objective epistasis analysis.
Briefings Bioinform., January, 2023

Fuzzy-Based Multiobjective Multifactor Dimensionality Reduction for Epistasis Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Based on Decision Tree Model to Analyze the Influencing Factors of Customer's Insurance Transactions.
J. Inf. Sci. Eng., 2023

2022
Lagrange interpolation-driven access control mechanism: Towards secure and privacy-preserving fusion of personal health records.
Knowl. Based Syst., 2022

Multiobjective optimization-driven primer design mechanism: towards user-specified parameters of PCR primer.
Briefings Bioinform., 2022

MOAI: a multi-outcome interaction identification approach reveals an interaction between vaspin and carcinoembryonic antigen on colorectal cancer prognosis.
Briefings Bioinform., 2022

A Clustering-based Feature Selection for Automatic Labeling in Human Activity Recognition.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Use Hydrology and Stratum Subsidence Monitoring Platform to Improve the Work Performance of Hydrologists.
Proceedings of the IEEE International Conference on e-Business Engineering, 2022

2021
Applications of Deep Learning and Fuzzy Systems to Detect Cancer Mortality in Next-Generation Genomic Data.
IEEE Trans. Fuzzy Syst., 2021

Who Donates on Line? Segmentation Analysis and Marketing Strategies Based on Machine Learning for Online Charitable Donations in Taiwan.
IEEE Access, 2021

A Clustering-Based Gauss Chaotic Mapping Particle Swarm Optimization for Auto Labeling in Human Activity Recognition.
Proceedings of the 2021 International Conference on Technologies and Applications of Artificial Intelligence, 2021

Analyze influence factors in customer's insurance transaction by decision tree model.
Proceedings of the 2021 International Conference on Technologies and Applications of Artificial Intelligence, 2021

2020
Epistasis Analysis Using an Improved Fuzzy C-Means-Based Entropy Approach.
IEEE Trans. Fuzzy Syst., 2020

Class Balanced Multifactor Dimensionality Reduction to Detect Gene-Gene Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

An improved fuzzy set-based multifactor dimensionality reduction for detecting epistasis.
Artif. Intell. Medicine, 2020

Fuzzy Logic System Application for Detecting SNP-SNP Interaction.
IEEE Access, 2020

New Evaluation Measures for Multifactor Dimensionality Reduction in SNP-SNP Interaction Analysis.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Identification of Kidney Clear Cell Carcinoma Mortality Risk-Associated Gene Mutation by Using a Random Survival Forest Approach.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Multiple-Criteria Decision Analysis-Based Multifactor Dimensionality Reduction for Detecting Gene-Gene Interactions.
IEEE J. Biomed. Health Informatics, 2019

Effective hybrid approach for protein structure prediction in a two-dimensional Hydrophobic-Polar model.
Comput. Biol. Medicine, 2019

Identifying Risk Stratification Associated With a Cancer for Overall Survival by Deep Learning-Based CoxPH.
IEEE Access, 2019

Detecting SNP-SNP Interactions in Imbalanced Case-Control Study.
IEEE Access, 2019

Improved Multiobjective Multifactor Dimensionality Reduction using Fuzzy Theory.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
A CpGCluster-Teaching-Learning-Based Optimization for Prediction of CpG Islands in the Human Genome.
J. Comput. Biol., 2018

Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions.
Bioinform., 2018

Improved Multifactor Dimensionality Reduction for Epistasis Detection.
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

2017
Joint Analysis of SNP-SNP-Environment Interactions for Chronic Dialysis by an Improved Branch and Bound Algorithm.
J. Comput. Biol., 2017

CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies.
Bioinform., 2017

Taguchi-enhanced binary differential evolution algorithm.
Proceedings of the 2017 IEEE SmartWorld, 2017

High-performance computing for protein fold prediction.
Proceedings of the 2017 IEEE SmartWorld, 2017

2016
Analysis of high-order SNP barcodes in mitochondrial D-loop for chronic dialysis susceptibility.
J. Biomed. Informatics, 2016

Genetic Algorithm Combined with a Local Search Method for Identifying Susceptibility Genes.
J. Artif. Intell. Soft Comput. Res., 2016

A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes.
Artif. Intell. Medicine, 2016

2015
An improved GA for identifying susceptibility genes in the presence of epistasis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
SNP-SNP Interaction Using Gauss Chaotic Map Particle Swarm Optimization to Detect Susceptibility to Breast Cancer.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

2013
Evaluation of Breast Cancer Susceptibility Using Improved Genetic Algorithms to Generate Genotype SNP Barcodes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

2012
PCR-RFLP Primer Design Using Particle Swarm Optimization Combined with Chaotic Logistic Map.
Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012

2011
An Improved Natural PCR-RFLP Primer Design Method.
Proceedings of the 11th IEEE International Conference on Bioinformatics and Bioengineering, 2011


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