Robert Keeling

14 papers B 2Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	B	`conf`	Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review. IEEE Big Data Fusheng Wei, Robert Keeling, Nathaniel Huber-Fliflet, Jianping Zhang, Adam Dabrowski, Jingchao Yang, Qiang Mao, Han Qin
2022	B	`conf`	Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review. IEEE Big Data Robert Keeling, Ava Guo, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang
2021	J	`jnl`	CNN Application in Detection of Privileged Documents in Legal Document Review. CoRR Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao
2020	—	`conf`	CNN Application in Detection of Privileged Documents in Legal Document Review. IEEE BigData Rishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao
2019	J	`jnl`	An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. CoRR Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao
2019	—	`conf`	Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. IEEE BigData Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Ye Shi, Han Qin
2019	J	`jnl`	Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. CoRR Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, Han Qin
2019	J	`jnl`	Empirical Evaluations of Active Learning Strategies in Legal Document Review. CoRR Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2019	J	`jnl`	Empirical Evaluations of Preprocessing Parameters' Impact on Predictive Coding's Effectiveness. CoRR Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2019	J	`jnl`	Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. CoRR Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2018	—	`conf`	An Empirical Study of the Application of Machine Learning and Keyword Terms Methodologies to Privilege-Document Review Projects in Legal Matters. IEEE BigData Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Robert Keeling, Robert Neary, Haozhen Zhao
2018	—	`conf`	Explainable Text Classification in Legal Document Review A Case Study of Explainable Predictive Coding. IEEE BigData Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2017	—	`conf`	Empirical evaluations of active learning strategies in legal document review. IEEE BigData Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao
2016	—	`conf`	Empirical evaluations of preprocessing parameters' impact on predictive coding's effectiveness. IEEE BigData Rishi Chhatwal, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, Haozhen Zhao