Fumiko Kobayashi

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

UA Little Rock

Faculty Researcher

3 h-index 11 pubs 25 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Fumiko Kobayashi's research focuses on unsupervised entity resolution, a subfield of data management and artificial intelligence. Her work investigates methods for automatically identifying and linking records that refer to the same real-world entity, even when explicit identifiers are missing. Kobayashi has published work exploring the use of linkage context to improve the accuracy and automation of this process, including a 2025 publication on automated correction in unsupervised entity resolution and a 2023 paper on context extraction for the same task. She has also engaged in interdisciplinary research, with a 2024 publication examining generative interactions between Japanese art forms. Kobayashi holds an h-index of 3 with 25 citations across 11 publications. She has collaborated with John R. Talburt at the University of Arkansas at Little Rock, co-authoring two publications.

Metrics

h-index: 3
Publications: 11
Citations: 25

Selected Publications

Using Linkage Context for Automated Correction in Unsupervised Entity Resolution (2025)

Communications in computer and information science DOI OpenAlex
Context Extraction in Unsupervised Entity Resolution (2023)

1 citation DOI OpenAlex
Machine Learning Comparison in Entity Resolution (2018)

DOI OpenAlex
Entity Resolution Using Logistic Regression as an extension to the Rule-Based Oyster System (2018)

8 citations DOI OpenAlex
Decoupling Identity Resolution from the Maintenance of Identity Information (2014)

9 citations DOI OpenAlex
A Graduate-Level Course on Entity Resolution and Information Quality (2013)

Journal of Data and Information Quality 3 citations DOI OpenAlex