Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness. - Rishi Chhatwal; Nathaniel Huber-Fliflet; Robert Keeling; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2016)

Empirical evaluations of active learning strategies in legal document review. - Rishi Chhatwal; Nathaniel Huber-Fliflet; Robert Keeling; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2017)

Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. - Rishi Chhatwal; Peter Gronvall; Nathaniel Huber-Fliflet; Robert Keeling; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 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 003; Robert Keeling; Robert Neary; Haozhen Zhao (IEEE BigData, 2018)

Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. - Robert Keeling; Rishi Chhatwal; Nathaniel Huber-Fliflet; Jianping Zhang 003; Fusheng Wei; Haozhen Zhao; Ye Shi 002; Han Qin (IEEE BigData, 2019)

CNN Application in Detection of Privileged Documents in Legal Document Review. - Rishi Chhatwal; Robert Keeling; Peter Gronvall; Nathaniel Huber-Fliflet; Jianping Zhang 003; Haozhen Zhao (IEEE BigData, 2020)

Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review. - Robert Keeling; Ava Guo; Peter Gronvall; Nathaniel Huber-Fliflet; Jianping Zhang 003 (IEEE Big Data, 2022)

Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review. - Fusheng Wei; Robert Keeling; Nathaniel Huber-Fliflet; Jianping Zhang 003; Adam Dabrowski; Jingchao Yang; Qiang Mao; Han Qin (IEEE Big Data, 2023)