Robert Neary

According to our database, Robert Neary authored at least 8 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery.

Qiang Mao, Fusheng Wei, Robert Neary, Charles Wang, Han Qin, Jianping Zhang, Nathaniel Huber-Fliflet

Proceedings of the IEEE International Conference on Big Data, 2025

A Comparative Study of Retrieval Methods in Azure AI Search.

Qiang Mao, Han Qin, Robert Neary, Charles Wang, Fusheng Wei, Jianping Zhang, Nathaniel Huber-Fliflet

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Empirical Evaluation of Ensemble and Single Model Approaches for Multilingual Predictive Coding.

Jingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet, Fusheng Wei, Qiang Mao

Proceedings of the IEEE International Conference on Big Data, 2024

A Hybrid Approach for Privilege Document Review: Rule-Based and Machine Learning.

Jingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet

Proceedings of the IEEE International Conference on Big Data, 2024

Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes.

Fusheng Wei, Robert Neary, Han Qin, Qiang Mao, Jianping Zhang

Proceedings of the IEEE International Conference on Big Data, 2024

Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal Investigations.

Qiang Mao, Adam Dabrowski, Fusheng Wei, Eric Olson, Robert Neary, Jingchao Yang, Han Qin, Nathaniel Huber-Fliflet

Proceedings of the IEEE International Conference on Big Data, 2024

2018

Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding.

Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters.

Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018