Wei-Ming Huang

Orcid: 0000-0002-5774-9552

According to our database¹, Wei-Ming Huang authored at least 21 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2023

Cardiac CT perfusion imaging of pericoronary adipose tissue (PCAT) highlights potential confounds in coronary CTA.

[BibT_eX]

[DOI]

CoRR, 2023

Maintenance of High Fuzzy Utility Itemsets Using the Pre-Large-Itemset Concept and Tree Structure.

[BibT_eX]

[DOI]

Proceedings of the 10th Multidisciplinary International Social Networks Conference, 2023

Trade-off Between Execution Time and Memory Consumption in Fuzzy Average-Utility Mining.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Awareness Science and Technology, 2023

Using the Pre-Large Concept for Maintaining High Fuzzy Utility Itemsets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Tree-Based Unified Temporal Erasable-Itemset Mining.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022

Pulmonary vascular volume is associated with DLCO and fibrotic score in idiopathic pulmonary fibrosis: an observational study.

[BibT_eX]

[DOI]

BMC Medical Imaging, 2022

Incremental High Fuzzy Utility Itemset Mining.

[BibT_eX]

[DOI]

Proceedings of the 9th Multidisciplinary International Social Networks Conference, 2022

Improvement of Dye-sensitized Solar Cells by Using Compact and Pressed Layer of TiO2.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Knowledge Innovation and Invention, 2022

Unified Temporal Erasable Itemset Mining with a Lower-Bound Strategy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Incremental Fuzzy Utility Mining with Tree Structure.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A Bitmap Approach for Mining Erasable Itemsets.

[BibT_eX]

[DOI]

IEEE Access, 2021

A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

2020

Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets.

[BibT_eX]

[DOI]

Shyue-Liang Leon Wang

Jerry Chun-Wei Lin

IEEE Access, 2020

A Tree-based Fuzzy Average-Utility Mining Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

One-Phase Temporal Fuzzy Utility Mining.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2019

Erasable Pattern Mining with Quantitative Information.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Fuzzy Utility Mining Under Minimum Weight Constraint of Multiple Item Weights.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Mining Temporal Fuzzy Utility Itemsets by Tree Structure.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Temporal-Based Fuzzy Utility Mining.

[BibT_eX]

[DOI]

IEEE Access, 2017

Mining Erasable Itemsets Using Bitmap Representation.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computing, 2017

Wei-Ming Huang

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