Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
J
John R. Talburt
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: Acxiom (United States) (1996–2009); National University of Singapore (2018); Bloomsburg University (1992); Education Labour Relations Council (2020); Quality Research (2026); Conway School of Landscape Design (1996–2009); Arkansas Department of Agriculture (2025)
Faculty Researcher
15 h-index
216 pubs
849 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
John R. Talburt's research centers on the application of artificial intelligence and machine learning to address challenges in data quality, bias, and analysis within healthcare and biological contexts. He has investigated transfer learning models for food detection and explored preprocessing techniques to mitigate bias in healthcare data. His work also extends to the integration of single-cell transcriptome data with network analysis to understand therapeutic responses in conditions such as chronic myeloid leukemia. Talburt has developed methods for missing value imputation in single-cell RNA sequencing data and examined data governance frameworks, including zero-trust models for data quality assessment. Furthermore, his research has delved into the information quality of large language models and the optimization of parameters for unsupervised data clustering and cleaning.
Metrics
- h-index: 15
- Publications: 216
- Citations: 849
Selected Publications
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Engineering Queryable Industrial Product Knowledge Bases from Technical Documents: A Survey of Data, Knowledge, and Retrieval Pipelines (2026)
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AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform (2026)
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Retrieval-Augmented Multi-LLM Ensemble for Industrial Part Specification Extraction (2025)
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Policy-Aware Generative AI for Safe, Auditable Data Access Governance (2025)
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A Qualitative Approach to Extract Diagnostic Patterns of Cognitive Impairment in Parkinson’s Disease (2025)
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Single-Cell Transcriptomic Analysis Unveils Key Regulators and Signaling Pathways in Lung Adenocarcinoma Progression (2025)
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Entity Resolution Using Transformers for Synthetic Datasets (2025)
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Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach (2025)
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Entity Resolution with Household Movement Discovery Using Google Generative AI (2025)
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Using Linkage Context for Automated Correction in Unsupervised Entity Resolution (2025)
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Improving Quality of Entity Resolution Using a Cascade Approach (2025)
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A Pattern-Based Approach to Name and Address Parsing with Active Learning (2025)
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SparkDWM: a scalable design of a Data Washing Machine using Apache Spark (2024)
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Household Discovery with Group Membership Graphs (2024)
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A scalable MapReduce-based design of an unsupervised entity resolution system (2024)
Collaboration Network
Top Collaborators
Mary Qu Yang
University of Arkansas at Little Rock
6 shared publications
In database
- Integrating Single-Cell Transcriptome and Network Analysis to Characterize the Therapeutic Response of Chronic Myeloid Leukemia
- cnnImpute: missing value recovery for single cell RNA sequencing data
- Merging Deep Learning and Data Analytics for Inferring Coronavirus Human Adaptive Transmutability and Transmissibility
- Missing Value Recovery for Single Cell RNA Sequencing Data
- A Deep Learning-Based Model for Gene Regulatory Network Inference
Showing 5 of 6 shared publications
Nicholas Kofi Akortia Hagan
University of Arkansas at Little Rock
4 shared publications
In database
- Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine
- ModER: Graph-based Unsupervised Entity Resolution using Composite Modularity Optimization and Locality Sensitive Hashing
- A scalable MapReduce-based design of an unsupervised entity resolution system
- SparkDWM: a scalable design of a Data Washing Machine using Apache Spark
Khizer Syed
University of Arkansas at Little Rock (US)
4 shared publications
- Entity Resolution with Household Movement Discovery Using Google Generative AI
- Household Discovery with Group Membership Graphs
- A Pattern-Based Approach to Name and Address Parsing with Active Learning
- Improving Quality of Entity Resolution Using a Cascade Approach
Muzakkiruddin Ahmed Mohammed
4 shared publications
- Entity Resolution with Household Movement Discovery Using Google Generative AI
- Policy-Aware Generative AI for Safe, Auditable Data Access Governance
- Retrieval-Augmented Multi-LLM Ensemble for Industrial Part Specification Extraction
- AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform
Sherman M. Weissman
Yale University (US)
3 shared publications
- Integrating Single-Cell Transcriptome and Network Analysis to Characterize the Therapeutic Response of Chronic Myeloid Leukemia
- cnnImpute: missing value recovery for single cell RNA sequencing data
- Missing Value Recovery for Single Cell RNA Sequencing Data
Jialu Ma
University of Arkansas at Little Rock
3 shared publications
In database
- Integrating Single-Cell Transcriptome and Network Analysis to Characterize the Therapeutic Response of Chronic Myeloid Leukemia
- A Deep Learning-Based Model for Gene Regulatory Network Inference
- Single-Cell Transcriptomic Analysis Unveils Key Regulators and Signaling Pathways in Lung Adenocarcinoma Progression
Mariofanna Milanova
University of Arkansas at Little Rock
3 shared publications
In database
- Explaining Multimodal Image Retrieval Using A Vision and Language Task Model
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach
- Entity Resolution Using Transformers for Synthetic Datasets
Abdullateef Mohammed
University of Arkansas at Little Rock (US)
3 shared publications
- Entity Resolution with Household Movement Discovery Using Google Generative AI
- Household Discovery with Group Membership Graphs
- Improving Quality of Entity Resolution Using a Cascade Approach
Adeeba Tarannum
University of Arkansas at Little Rock
3 shared publications
In database
- Household Discovery with Group Membership Graphs
- A Pattern-Based Approach to Name and Address Parsing with Active Learning
- Improving Quality of Entity Resolution Using a Cascade Approach
William Yang
Princeton University (US)
2 shared publications
- Merging Deep Learning and Data Analytics for Inferring Coronavirus Human Adaptive Transmutability and Transmissibility
- Missing Value Recovery for Single Cell RNA Sequencing Data
Mahmood A. Mohammed
University of Arkansas at Little Rock (US)
2 shared publications
- A Zero Trust Model Based Framework For Data Quality Assessment
- Metadata: An Integral Component of the Modern Data Strategy
Kris E. Anderson
University of Arkansas at Little Rock
2 shared publications
In database
- Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine
- A scalable MapReduce-based design of an unsupervised entity resolution system
Deasia Hagan
University of Arkansas at Little Rock
2 shared publications
In database
- Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine
- A scalable MapReduce-based design of an unsupervised entity resolution system
Fumiko Kobayashi
University of Arkansas at Little Rock
2 shared publications
In database
- Context Extraction in Unsupervised Entity Resolution
- Using Linkage Context for Automated Correction in Unsupervised Entity Resolution
Bi T. Foua
University of Arkansas at Little Rock (US)
2 shared publications
- Large Language Model-Based Representation Learning for Entity Resolution Using Contrastive Learning
- Train Once, Match Everywhere: Harnessing Generative Language Models for Entity Matching
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