Nathaniel Huber-Fliflet

40 papers B 15Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Comparative Study of Retrieval Methods in Azure AI Search. IEEE Big Data Qiang Mao, Han Qin, Robert Neary, Charles Wang, Fusheng Wei, Jianping Zhang, Nathaniel Huber-Fliflet
2025	J	`jnl`	A Comparative Study of Retrieval Methods in Azure AI Search. CoRR Qiang Mao, Han Qin, Robert Neary, Charles Wang, Fusheng Wei, Jianping Zhang, Nathaniel Huber-Fliflet
2025	B	`conf`	Detecting Privileged Documents by Ranking Connected Network Entities. IEEE Big Data Jianping Zhang, Han Qin, Nathaniel Huber-Fliflet
2025	J	`jnl`	Detecting Privileged Documents by Ranking Connected Network Entities. CoRR Jianping Zhang, Han Qin, Nathaniel Huber-Fliflet
2025	B	`conf`	Exploiting the Randomness of Large Language Models (LLM) in Text Classification Tasks: Locating Privileged Documents in Legal Matters. IEEE Big Data Keith Huffman, Jianping Zhang, Nathaniel Huber-Fliflet, Fusheng Wei, Peter Gronvall
2025	J	`jnl`	Exploiting the Randomness of Large Language Models (LLM) in Text Classification Tasks: Locating Privileged Documents in Legal Matters. CoRR Keith Huffman, Jianping Zhang, Nathaniel Huber-Fliflet, Fusheng Wei, Peter Gronvall
2025	B	`conf`	Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery. IEEE Big Data Qiang Mao, Fusheng Wei, Robert Neary, Charles Wang, Han Qin, Jianping Zhang, Nathaniel Huber-Fliflet
2025	J	`jnl`	Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery. CoRR Qiang Mao, Fusheng Wei, Robert Neary, Charles Wang, Han Qin, Jianping Zhang, Nathaniel Huber-Fliflet
2024	B	`conf`	A Hybrid Approach for Privilege Document Review: Rule-Based and Machine Learning. IEEE Big Data Jingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet
2024	B	`conf`	Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal Investigations. IEEE Big Data Qiang Mao, Adam Dabrowski, Fusheng Wei, Eric Olson, Robert Neary, Jingchao Yang, Han Qin, Nathaniel Huber-Fliflet
2024	B	`conf`	Empirical Evaluation of Ensemble and Single Model Approaches for Multilingual Predictive Coding. IEEE Big Data Jingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet, Fusheng Wei, Qiang Mao
2024	B	`conf`	Experimental Study of In-Context Learning for Text Classification and Its Application to Legal Document Review in Construction Delay Disputes. IEEE Big Data Nathaniel Huber-Fliflet, Jianping Zhang, Peter Gronvall, Fusheng Wei, Philip Spinelli
2023	B	`conf`	An Empirical Analysis of Text Segmentation for BERT Classification in Extended Documents. IEEE Big Data Jingchao Yang, Fusheng Wei, Nathaniel Huber-Fliflet, Adam Dabrowski, Qiang Mao, Han Qin
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
2023	J	`jnl`	Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. CoRR Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang
2023	B	`conf`	Explainable Text Classification for Legal Document Review in Construction Delay Disputes. IEEE Big Data Nathaniel Huber-Fliflet, Jianping Zhang, Peter Gronvall, Fusheng Wei, Philip Spinelli, Adam Dabrowski, Jingchao Yang
2023	B	`conf`	Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets. IEEE Big Data Christian J. Mahoney, Nathaniel Huber-Fliflet, Peter Gronvall, Chris Clark, Jianping Zhang, Fusheng Wei, Qiang Mao
2023	B	`conf`	Exploring the Performance Impacts of Training Predictive Models with Inclusive Email Threads. IEEE Big Data Chris Clark, Han Qin, Nathaniel Huber-Fliflet, Adam Dabrowski, Jianping Zhang
2022	B	`conf`	Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. IEEE Big Data Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang
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	—	`conf`	A Framework for Explainable Text Classification in Legal Document Review. IEEE BigData Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao
2019	J	`jnl`	A Framework for Explainable Text Classification in Legal Document Review. CoRR Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, 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`	Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. CoRR Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
2019	—	`conf`	Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. LegalAIIA@ICAIL Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
2019	J	`jnl`	Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. CoRR Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye
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
2019	—	`conf`	Image Analytics for Legal Document Review : A Transfer Learning Approach. IEEE BigData Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
2019	J	`jnl`	Image Analytics for Legal Document Review: A Transfer Learning Approach. CoRR Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
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`	Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. IEEE BigData Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye
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