Daiho Uhm
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Oklahoma State University (2011–2013); Oklahoma State University Oklahoma City (2011–2012)
Faculty Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Daiho Uhm's research focuses on the analysis of zero-inflated patent data through the generation of synthetic samples. This work contributes to methodologies for handling datasets with a high prevalence of zero values, a common challenge in various statistical and data science applications. His recent publication in 2022 highlights his ongoing activity in this area.
Metrics
- h-index: 10
- Publications: 18
- Citations: 214
Selected Publications
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Zero-Inflated Patent Data Analysis Using Generating Synthetic Samples (2022)
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Patent Data Analysis of Artificial Intelligence Using Bayesian Interval Estimation (2020)
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An Interval Estimation Method of Patent Keyword Data for Sustainable Technology Forecasting (2017)
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Bus commuting, subway commuting, and walking to workplaces in US cities: Socioeconomic factors of transit commuters (2016)
Collaboration Network
Top Collaborators
- Zero-Inflated Patent Data Analysis Using Generating Synthetic Samples